phd health informatics usa

Health Sciences Informatics, PhD

School of medicine.

The Ph.D. in Health Sciences Informatics offers the opportunity to participate in ground-breaking research projects in clinical informatics and data science at one of the world’s finest biomedical research institutions. In keeping with the traditions of the Johns Hopkins University and the Johns Hopkins Hospital, the Ph.D. program seeks excellence and commitment in its students to further the prevention and management of disease through the continued exploration and development of health informatics, health IT, and data science. Resources include a highly collaborative clinical faculty committed to research at the patient, provider, and system levels. The admissions process will be highly selective and finely calibrated to complement the expertise of faculty mentors.    

Areas of research:

• Clinical Decision Support
• Global Health Informatics
• Health Information Exchange (HIE)
• Human Computer Interaction
• Multi-Center Real World Data
• Patient Quality & Safety
• Population Health Analytics
• Precision Medicine Analytics
• Standard Terminologies
• Telemedicine
• Translational Bioinformatics

Individuals wishing to prepare themselves for careers as independent researchers in health sciences informatics, with applications experience in informatics across the entire health/healthcare life cycle, should apply for admission to the doctoral program.

Admission Criteria

Applicants with the following types of degrees and qualifications will be considered:

• BA or BS, with relevant technical and quantitative competencies and a record of scientific accomplishment as an undergraduate; 
• BA or BS, with relevant technical and quantitative competencies and a minimum of five years professional experience in a relevant field (e.g., biomedical research, data science, public health, etc.); or
• MA, MS, MPH, MLIS, MD, PhD, or other terminal degree, with relevant technical and quantitative competencies

Relevant fields include: medicine, dentistry, veterinary science, nursing, ancillary clinical sciences, public health, librarianship, biomedical science, bioengineering and pharmaceutical sciences, and computer and information science. An undergraduate minor or major in information or computer science is highly desirable.

The application is made available online through Johns Hopkins School of Medicine's website . Please note that paper applications are no longer accepted. The supporting documents listed below must be received by the SOM admissions office by December 15 of the following year. Applications will not be reviewed until they are complete and we have all supporting letters and documentation.

• Curriculum Vitae (including list of peer-reviewed publications and scientific presentations)
• Three Letters of Recommendation
• Statement of Purpose
• Official Transcripts from undergraduate and any graduate studies
• Certification of terminal degree
• You are also encouraged to submit a portfolio of published research, writing samples, and/or samples of website or system development

Please track submission of supporting documentation through the SLATE admissions portal.

If you have questions about your qualifications for this program, please contact [email protected]

Program Requirements

The PhD curriculum will be highly customized based on the student's background and needs. Specific courses and milestones will be developed in partnership with the student's advisor and the PhD Program Director.

The proposed curriculum is founded on four high-level principles:

• Achieving a balance between theory and research, and between breadth and depth of knowledge
• Creating a curriculum around student needs, background, and goals
• Teaching and research excellence
• Modeling professional behavior locally and nationally.

Individualized curriculum plans will be developed to build proficiencies in the following areas:

• Foundations of biomedical informatics: e.g., lifecycle of information systems, decision support
• Information and computer science: e.g., software engineering, programming languages, design and analysis of algorithms, data structures.
• Research methodology: research design, epidemiology, and systems evaluation; mathematics for computer science (discrete mathematics, probability theory), mathematical statistics, applied statistics, mathematics for statistics (linear algebra, sampling theory, statistical inference theory, probability); ethnographic methods.
• Implementation sciences: methods from the social sciences (e.g., organizational behavior and management, evaluation, ethics, health policy, communication, cognitive learning sciences, psychology, and sociological knowledge and methods), health economics, evidence-based practice, safety, quality.
• Specific informatics domains: clinical informatics, public health informatics, analytics
• Practical experience: experience in informatics research, experience with health information technology.

Basic Requirements & Credit Distribution

• 15 "core" quarter credits (5 courses)
• 8 quarter credits of Student Seminar & Grand Rounds
• 60 elective quarter credits
• 6 quarter credits practicum/research rotation
• 36 mentored research quarter credits (12 in year 1, 24 in year 2)
• Research Ethics

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Health Informatics PhD

Doctor of philosophy in health informatics.

Prepare for research and leadership roles in clinical and healthcare organizations with the Doctor of Philosophy in Health Informatics from Temple University’s College of Public Health . This 45-credit doctoral degree program focuses on interprofessional education and practice research and is designed for students looking to pursue a career in academia or research in health informatics innovation. 

Health Informatics is an interdisciplinary field incorporating healthcare, computer science and informatics, which prepares students to contribute to the field through research, teaching and exposure to practical health informatics challenges. Learn to use information technology and apply the theories and principles of computer and information science to develop customized tools for healthcare applications.

Develop knowledge and skills in advanced health informatics, electronic health records, global health, health data analysis, and health system development and implementation. Build strong partnerships with consumer groups, industrial collaborators and local healthcare communities and prepare to use health data in real time to solve current health problems.

The Health Informatics PhD program creates a learner experience that includes the following.

• Clinical informatics
• Global health
• Interprofessional education
• Machine learning
• Public health 
• Team science
• Translational science

Meet the increasing demand for research experience by developing and conducting independent research with faculty mentorship on cross-functional projects using state-of-the-art health informatics approaches. Learn grant writing, scientific writing and project management for publishing in journals and to prepare for a career in research after graduation.

Program Format & Curriculum

The Doctor of Philosophy in Health Informatics is a full-time degree program. Students have seven years to complete the program.

With in-person and hybrid courses, learners will have access to faculty mentors, hands-on labs, technology infrastructure and translational real-world projects. Coursework for the program includes the following classes.

• Application Development in Public Health 
• Applications of Machine Learning for Health Informatics
• Grantsmanship in Health Research
• Principles and Practices of Health Informatics Research 

Culminating events for the program include an area paper, preliminary examination, qualifying exam, dissertation proposal and dissertation.

Learn more about the Health Informatics PhD curriculum .

Related Graduate Degrees

• Computer and Information Science PhD
• Epidemiology PhD
• Health Policy and Health Services Research PhD
• Health Informatics MS
• Health Policy and Management MPH
• Health Administration MHA

Tuition & Fees

In keeping with Temple’s commitment to access and affordability, this Doctor of Philosophy offers a competitive level of tuition with multiple opportunities for financial support.

Tuition rates are set annually by the university and are affected by multiple factors, including program degree level (undergraduate or graduate), course load (full- or part-time), in-state or out-of-state residency, and more. These tuition costs apply to the 2023–2024 academic year.

Pennsylvania resident : $1,109.00 per credit Out-of-state : $1,521.00 per credit

You can view the full Cost of Attendance breakdown on the Student Financial Services website .

The College of Public Health offers personalized advising services to students in each department. PhD candidates may seek academic and program support from their faculty advisors.

Bari Dzomba is the graduate program director. Phone : 215-204-1892  Email : [email protected]  

You can engage with peers and find leadership opportunities in student-led clubs and organizations in the College of Public Health. 

Learn more about student clubs and organizations .

Additional Program Information

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PhD in Health Sciences Informatics Program

The PhD is a campus based program only.

Directed by Hadi Kharrazi, MD, PhD, the program offers the opportunity to participate in ground breaking research projects in clinical informatics at one of the world’s finest medical schools. In keeping with the tradition of the Johns Hopkins University and the Johns Hopkins Hospital, the program seeks excellence and commitment in its students to further the prevention and management of disease through the continued exploration and development of health IT. Division resources include a highly collaborative clinical faculty committed to research at the patient, provider and system levels. The admissions process will be highly selective and finely calibrated to complement the expertise of faculty mentors.

Areas of research:

• Clinical Decision Support
• Global Health Informatics
• Health Information Exchange (HIE)
• Human Computer Interaction
• Multi-Center Real World Data
• Patient Quality & Safety
• Population Health Analytics
• Precision Medicine Analytics
• Standard Terminologies
• Telemedicine
• Translational Bioinformatics

Vivien Thomas Scholars Initiative

As diverse PhD students at Johns Hopkins, Vivien Thomas scholars will receive the academic and financial support needed to ensure their success, including up to six years of full tuition support, a stipend, health insurance and other benefits, along with significant mentorship, research, professional development and community-building opportunities.

Click here to read more.

Application Requirements for the PhD in Health Sciences Informatics

Applicants with the following degrees and qualifications will be considered:

• BA or BS, or
• BA or BS, and a minimum of five years professional experience in a relevant field, or
• MA, MLS, MD or other PhD, with no further requirements.

"Relevant fields" include medicine, dentistry, veterinary science, nursing, ancillary clinical sciences, public health, librarianship, biomedical basic science, bioengineering and pharmaceutical sciences and computer and information science. An undergraduate minor or major in information or computer science is highly desirable.

The Application Process

Applications for the class entering in academic year 2025-2026 will be accepted starting in September 1, 2024 through December 15, 2024. (The application is made available through the Johns Hopkins School of Medicine here. )

Please note that paper applications are no longer accepted. The supporting documents listed below must be received by the SOM admissions office by December 15, 2024 . Applications will not be reviewed until they are complete and we have all supporting letters and documentation. 

• Curriculum vitae
• Three letters of recommendation
• Official transcript of school record
• Certification of terminal degree
• Statement of Purpose
• You may also submit a portfolio of published research, or samples of website or system development to support your application if you wish.

This program does not require the GRE.

Important Transcript Information

It is the policy of the School of Medicine Registrar that new students have a complete set of original transcripts on file prior to matriculation showing the degree awarded and date. An official transcript is one that is addressed to the Office of Graduate Student Affairs and sent directly from the granting institution to Johns Hopkins University School of Medicine, Office of Graduate Student Affairs, 1830 East Monument Street, Ste. 620, Baltimore, MD 21287. The transcript envelope must be sealed and stamped on arrival at the OGSA office. Transcripts addressed to the student can not be accepted even if they are sent to the OGSA address above.

Program Description

Individuals wishing to prepare themselves for careers as independent researchers in health sciences informatics, with applications experience in informatics across the entire health/healthcare life cycle, should apply for admission to the doctoral program. The following are specific requirements:

• A student should plan and successfully complete a coherent program of study including the core curriculum, Oral Examination, and additional requirements of the Research Master’s program. In addition, doctoral candidates are expected to take at least two more advanced courses. In the first year, two or three research rotations are strongly encouraged. The Master’s requirements, as well as the Oral Examination, should be completed by the end of the second year in the program. Doctoral students routinely will not be receiving a Masters degree on their way to the PhD; particular exceptions will be decided on a case-by-case basis. Doctoral students are generally advanced to PhD candidacy after passing the Oral Examination. A student’s academic advisor has primary responsibility for the adequacy of the program, which is regularly reviewed by the Doctoral Study Committee (DSC) of the Health Sciences Informatics (HSI) program.
• The student must have a minimum of two consecutive semesters (four quarters) of full time enrollment and resident on campus as a graduate student
• To remain in the PhD program, each student must receive no less than an B in core courses, must attain a grade point average (GPA) as outlined above, and must pass a comprehensive exam covering introductory level graduate material in any curriculum category in which he or she fails to attain a GPA of 3.0. The student must fulfill these requirements and apply for admission to candidacy for the PhD by the end of six quarters of study (excluding summers). In addition, reasonable progress in the student’s research activities is expected of all doctoral candidates.
• During the third year of training, generally in the Winter Quarter, each doctoral student is required to present a pre-proposal seminar that describes evolving research plans and allows program faculty to assure that the student is making good progress toward the definition of a doctoral dissertation topic. By the end of nine quarters (excluding summers), each student must orally present a thesis proposal to a dissertation committee that generally includes at least one member of the Graduate Study Committee of the Health Sciences Informatics program. The committee determines whether the student’s general knowledge of the field, and the details of the planned thesis, are sufficient to justify proceeding with the dissertation.
• As part of the training for the PhD, each student is required to be a teaching assistant for two courses approved by the DHSI Executive Committee; one should be completed in the first two years of study.
• The most important requirement for the PhD degree is the dissertation. Prior to the oral dissertation proposal and defense, each student must secure the agreement of a member of the program faculty to act as dissertation advisor. The University Preliminary Oral Exam (UPO) committee must consist of five faculty members, two of whom to be from outside the program, with the chair of the UPO committee coming from outside the program. The Thesis Committee comprises the principal advisor, who must be an active member of the HSI program faculty, and other, approved non HSI faculty members. Thesis committees must meet formally at least annually. Upon completion of the thesis research, each student must then prepare a formal written thesis, based on guidelines provide by the Doctor of Philosophy Board of the University.
• No oral examination is required upon completion of the dissertation. The oral defense of the dissertation proposal satisfies the University oral examination requirement.
• The student is expected to demonstrate the ability to present scholarly material orally and present his or her research in a lecture at a formal seminar, lecture, or scientific conference.
• The dissertation must be accepted by a reading committee composed of the principal dissertation advisor, a member of the program faculty, and a third member chosen from anywhere within the University. All University guidelines for thesis preparation and final graduation must be met.
• The Executive Committee documents that all Divisional or committee requirements have been met.

Program Handbook

Details about our program's policies are provided in our handbook here .

In addition, mentoring advising and resources are provided in this appendix .

An annual discussion and planning form is provided here for your reference.

Course Offerings

The proposed curriculum is founded on four high-level principles:

• Balance between theory and research, and between breadth and depth of knowledge: By providing a mix of research and practical experiences and a mix of curricular requirements.
• Student-oriented curriculum design: By creating the curriculum around student needs, background, and goals, and aiming at long-term competence using a combination of broadly-applicable methodological knowledge, and a strong emphasis on self-learning skills.
• Teaching and research excellence: By placing emphasis on student and teaching quality rather than quantity, by concentrating on targeted areas of biomedical informatics, and by close student guidance and supervision.
• Developing leadership: By modeling professional behavior locally and nationally.

The Health Sciences Informatics Doctoral Curriculum integrates knowledge and skills from:

• Foundations of biomedical informatics: Includes the lifecycle of information systems, decision support.
• Information and computer science: E.g. computer organization, computability, complexity, operating systems, networks, compilers and formal languages, data bases, software engineering, programming languages, design and analysis of algorithms, data structures.
• Research methodology: Includes research design, epidemiology, and systems evaluation; mathematics for computer science (discrete mathematics, probability theory), mathematical statistics, applied statistics, mathematics for statistics (linear algebra, sampling theory, statistical inference theory, probability).
• Implementation sciences: Methods from the social sciences (e.g., organizational behavior and management, evaluation, ethics, health policy, communication, cognitive learning sciences, psychology, and sociological knowledge and methods.) Health economics, evidence-based practice, safety, quality.
• Specific informatics domains: Clinical informatics, public health informatics.
• Practical experience: Experience in informatics research, experience with health information technology.

To achieve in-depth learning of the above knowledge and skills we adopt a student-oriented curriculum design, whereby we identify “teaching or learning processes,” that is, structured activities geared towards learning (i.e., courses/projects/assignments, seminars, examinations, defenses, theses, teaching requirements, directed study, research, service, internships). These processes were selected, adapted, or created in order to meet a set of pre-specified learning objectives that were identified by the faculty as being important for graduates to master.

The requirements are:

• 35 quarter credits/17.5 semester credits Core Courses (9 courses + research seminar 8 quarters)
• 48 quarter credits/24 semester credits Electives (may include optional practicum/research)
• 6 quarter credits/3 semester credits ME 250.855 practicum/ research rotation
• 36 quarter credits/18 semester credits ME 250.854 Mentored Research
• 125 TOTAL quarter credits/62.5 semester credits

Students are required to be trained in HIPAA and IRB submission, and to take the Course of Research Ethics.

IRB Compliance Training:

https://www.hopkinsmedicine.org/institutional_review_board/training_req…

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Do you want to learn how to use cutting-edge technologies

to help people better understand, manage, and improve their health? The health informatics track may be for you.

Through your studies, you will have an impact on the research community and the world by empowering people to manage their health outside of a clinical setting. You might examine:

• Population-based technologies, such as algorithms that use new data sources to better predict the spread of disease
• Patient-facing technologies, such as applications patients can use to manage and improve their own health
• Personalized medicine, which combines biology and chemistry to determine the best treatment for an individual based on their genome and other factors
• Infrastructure technologies, such as computation that preserves privacy or data mining of a large amount of health data

Learn about related research

The Health Informatics group designs, develops, and evaluates intelligent learning systems to empower people to better understand, manage, and improve their health.

Track Guide

Students who graduate from the Health Informatics programs in the School of Informatics and Computing at Indiana University understand how to combine cutting edge, innovative technologies with the latest in data analytics to design, implement, and evaluate technologies to help people better understand, manage, and improve their health. Students increase their impact in their research community and the world by empowering patients outside of the clinical setting where people live, work, and play.

The Health Informatics PhD program consists of a rigorous course sequence that introduces students to the fundamentals of design, implementation, data analytics, and evaluation. Students choose between a Design focused or Data-focused degree, selecting electives that fit their interests. Students tailor their degree with an emphasis on a particular health domain.

Primary Track Faculty

James Clawson

James Clawson’s research interests are in HCI, ubiquitous and wearable computing, and mobile health with a focus on designing and evaluating systems that support patient’s everyday engagement with their health and wellness. His recent work includes two yearlong in-the-wild deployments of mobile health technologies to support breast cancer patients as well as investigating the adoption, use, and abandonment of wearable health tracking technologies.

Dana Habeeb

Dana Habeeb is trained as an architect and urban designer. She brings a design perspective to her research in environmental planning and health. She investigates ways to engage and empower individuals to respond to current and future environmental problems by synthesizing research in climate change, public health, and environmental sensing.

Patrick Shih

Patrick Shih utilizes mixed methods approaches to tackle research problems in online and geographic communities. Specifically, my current research focuses on leveraging awareness of individual and community activities embedded in sensor technologies, smart devices, social media, and online forums in the design and construction of novel persuasive interfaces and civic engagement platforms that facilitate sustainable motivational and behavioral changes.

Katie Siek’s primary research interests are in human computer interaction, health informatics, and ubiquitous computing. More specifically, she is interested in how sociotechnical interventions affect personal health and well being. Her research is supported by the National Institutes of Health, the Robert Wood Johnson Foundation, and the National Science Foundation including a five-year NSF CAREER award. She has been awarded a CRA-W Borg Early Career Award and a Scottish Informatics and Computer Science Alliance Distinguished Visiting Fellowship.

Health Informatics Program Structure

Required courses.

The incoming PhD students in the Health Informatics track are a single cohort, but their courses will be tailored to their particular interests. There are a total of 90 credits in the Health Informatics PhD track. One recommended sequence for the first year of coursework is shown on the right.

All courses provided by faculty in the Health Informatics track, including the I609 and I709 Advanced Seminars, are open to and welcome students from other tracks and programs.

• I501: Introduction to Informatics
• I502: Human-Centered Research Methods in Informatics
• I527: Mobile & Pervasive Design
• I530: Field Deployments
• INFO I609 Seminar I in Informatics
• INFO I709 Seminar II in Informatics

NOTE: A student must take I609 and/or I709.

• INFO I790 Informatics Research Rotation (3 cr.)

NOTE: A student must complete two rotations of I790. A third rotation will not count for course credit.

• Theory and Methodology Requirement (12 cr.)

NOTE: Three courses are required and must be appropriate for a Ph.D. in Informatics.

• Minor (6-15 cr.)

NOTE: A student must complete an internal or external minor approved by the University Graduate School and the School. If a student selects an individualized minor, prior to taking courses, the University Graduate School must approve the proposed minor course list. There is no typical minor; however, students in the Health Informatics track often pursue a minor in Public Health, HCI/d, or Education.

• Electives (12-30 cr.)

NOTE: All electives must be approved by the student’s advisor and the Director of the Informatics Graduate Studies prior to enrolling in the course.

• INFO I890 Thesis Readings and Research.

Optional Courses

• I526 Applied Machine Learning
• I535 Privacy & Security of Health Information

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PhD Program

• AIM PhD Track
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PhD in Biomedical Informatics

The Department of Biomedical Informatics offers a PhD in Biomedical Informatics in the areas of  Artificial Intelligence in Medicine (AIM)  and  Bioinformatics and Integrative Genomics (BIG).

• The AIM PhD track prepares the next generation of leaders at the intersection of artificial intelligence and medicine. The program’s mission is to train exceptional computational students, harnessing large-scale biomedical data and cutting-edge AI methods, to create new technologies and clinically impactful research that transform medicine around the world, increasing both the quality and equity of health outcomes.
• The BIG PhD track trains future leaders in the field of bioinformatics and genomics. Our mission is to provide BIG graduate students with the tools to conduct original research and the ability to develop novel approaches and new technologies to address fundamental biological questions many of which will facilitate translation solutions to challenging problems in biomedicine and health.

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PhD in Biomedical Informatics

The PhD program in Biomedical Informatics is part of the   Coordinated Doctoral Programs in Biomedical Sciences . Students are trained to employ a scientific approach to information in health care and biomedicine. Students may only enroll full-time, as required by the Graduate School of Arts and Sciences (GSAS). The first two years are generally devoted to coursework and research. Subsequent years focus on independent research that culminates in a dissertation. 

Our PhD students come from top universities in the country and around the world. The group is dynamic and engaged, breaking new ground in informatics research as evidenced by their strong publication records. Our students are highly collaborative, frequently assisting on each other’s projects, sharing ideas, and supporting each other.

The program consists of core courses that are required of every student and provide a foundation in general biomedical informatics methods, techniques and theories, while electives enable students to apply these methods to one or more areas of specialization in bioinformatics, translational, clinical informatics, clinical research informatics, or public health informatics. In addition, students conduct research, assist in teaching (if PhD or postdoctoral trainees), and attend colloquia.

Degree Requirements

​ Courses : A minimum of 60 points of Columbia University graduate (4000 level or above) coursework, 6 residence units, consisting of:

• Research each term (BINF G6001, BINF G9001)
• 5 core classes
• 2 domain (specialization) courses
• 3 educational objectives courses
• 1 ethics course (spring term of first year)
• serving as a TA for 2 classes (or 1 class for MD-PhD students)
• 1 research seminar each term

Students must complete a minimum of 60 points of Columbia University instruction at the 4000 level or higher, address any admission deficiencies, and complete DBMI degree requirements. In years three and above, research is the primary focus of the student’s degree program, and the number of hours spent on research increases with each year in the program. Students enroll in BINF G6001 fall and spring terms as follows: a) 6 points each term year one, 9 points each term year two, 12 points each term years three and above. Students enroll in BINF G9001 in lieu of BINF G6001 the term following successful completion of the Oral II/Depth Exam. In their final term of enrollment, students will also register for BINF G9999 Doctoral Dissertation for 0 points. Students should pursue five goals when conducting research, and the grade earned in the required research classes (BINF G6001, BINF G9001) will reflect how well the student has achieved these goals: 1) understand the nature of informatics research 2) master intellectual and technical skills necessary for research 3) read and apply the scientific literature, 4) develop skill in scientific writing 5) demonstrate a responsible working attitude.

Ethics:  PhD students are required to enroll in CMBS G4010 Responsible Conduct of Research and Related Policy Issues in their second term in the program.

Teaching Assistantship: Students are required to serve as teaching assistants (TAs) for two courses in the department. In order to earn credit for TA responsibilities, students need to register for two points of BINF G8010 MPhil Teaching Experience each semester in which they serve as a TA. Students and faculty are solicited in spring term for their top 3 preferences. The Training Committee assigns TAs based on faculty and student preferences and departmental needs. The assignments will be communicated to students and faculty by the Graduate Program Manager. PhD students are required to TA two courses. Two-year postdoctoral research fellows TA one course; three-year postdoctoral research fellows TA two courses. MD-PhD students TA one course.

Seminar: PhD students are required to enroll in the weekly DBMI seminar. PhD students in the bio track are required to enroll in the DBMI seminar in their first year in the program, and may substitute the Systems Biology seminar in year 2 and beyond.

Residence Units: PhD students accrue 6 residence units for the degree. They are enrolled in the appropriate residence unit category by the GSAS Office of Graduate Affairs every fall and spring term.

Milestones: There are four milestones for PhD students:

• Breadth Exam
• Dissertation Proposal
• Dissertation Defense

Academic progress is tracked each semester by the students and their academic advisors (see Forms page for semester forms)

Research Rotations With the exception of MD-PhD students whose research rotation occurs between years 1 and 2 of medical school, all PhD students rotate in two different research labs their first year. Research rotations begin by the end of the change of program (add/drop) period of each term. The second research rotation begins the first day of classes of spring term. Projects should be completed prior to the start of the subsequent term. The permanent research advisor is chosen by May 15 of the first year. The Training Committee grants final approval of research rotations and permanent research advisor selections. Work with the permanent research advisor commences the next business day following the last day of final exams. A third summer rotation is possible with the Committee’s permission.

For first year students rotating with different research advisors, the Fall term dates for the first research rotation of BINF G6001 are the second week of September through the MLK, Jr. Holiday. For Spring term, the dates are the day following the MLK, Jr. holiday (the first day of classes) until the last date of final examinations ( see the online University academic calendar ) .  Work with the permanent research advisor commences the next business day following the last day of final exams.

Rotation Research Advisor Prior to the start of the Fall and Spring semesters, first-year PhD students should contact the faculty with whom they are considering doing a rotation to request an appointment. Selection of a research rotation advisor must be official by the end of the drop/add period of each semester. Students should discuss expectations for the rotation as well as a finite project to be completed by the end of the term of the rotation with the research advisor. This prevents projects continuing into the next semester which impacts the output of the new research rotation. The project should not depend on applying for a new IRB as this will delay the research into the subsequent semester, which is ill-advised. The Training Committee grants final approval of research advisors.

Register for research credit and a letter grade (6 points in fall and spring of first year, 9 points in fall and spring of second year, 12 points in fall and spring all subsequent years).

Publications PhD students and postdoctoral fellows are expected to make submissions to publications and conferences each year. The frequency and appropriateness of these submissions are decided by the research advisor. No student or fellow may submit work to any publication or conference without the expressed prior approval of their research advisor. Prior to submission, the research advisor must review final versions of all papers and abstracts submitted to journals, conferences, books or other publications. This policy applies to all publications, regardless of authorship, that deal with work that has been done at DBMI, Columbia University, or any affiliated institution(s).

Funding More information about funding sources and fellowships is available in the Student Funding page .​

The PhD in Personal Health Informatics at Northeastern University prepares students to lead research and development of new person- and patient-facing technologies that will transform healthcare delivery within the U.S. and around the world.

The program combines a strong foundation in human-computer interface technology and experimental design in health sciences with a research program focused on exploring how technology designed with a patient- or person-facing perspective might transform healthcare delivery. It brings together students who have a strong health science background and a desire to develop innovative technologies with students who have strong technical backgrounds and a passion for using technology for disruptive innovation in the health care industry.

In addition to focusing on technology to support healthcare, wellness, and coping with chronic conditions, the program provides a strong foundation in health science and experimental methodology in the health sciences, with practical experience gained during the program by immersion in one or more of Boston’s outstanding medical research institutions. Highly trained professionals with the skills and knowledge and experience to lead transdisciplinary teams in the design and validation of new health technologies are increasingly in demand in academia, industry, government, and non-profit public health organizations.

• Admitted PhD students are guaranteed full tuition scholarship and are supported with stipends or fellowships for the first five years of their program
• Joint program between the Khoury College of Computer Sciences and the Bouvé College of Health Sciences
• Unique program perspective focusing on consumer/patient facing technologies
• Program faculty are working on projects in consumer informatics, clinical informatics, behavioral informatics, and assistive technologies
• PhD students must complete and defend a dissertation that involves original research in personal health informatics
• The program focuses on Personal Health Informatics studying the healthcare system and wellness systems and supporting technologies from the patient or consumer perspective. The emphasis is on technologies that can be proven to enhance care in medical and non-medical settings, throughout all life stages and for sick, well, and specially-challenged populations of people.
• The program includes a usability evaluation practicum requirement, where all students are immersed in a healthcare context studying needs from the patient’s and consumer’s perspective and develop skills in ethnography and design.
• The program immerses all students in a one-year transdisciplinary experiential learning team project course, where core concepts are put into practice to prepare students for independent research that spans technical and health domains.

Personal Health Informatics stands to play a key role in the future of medicine. Many health systems worldwide today are focused on “sickcare,” rather than prevention and wellness. They are costly and slow to adapt to changing needs and demographics, and they are under enormous financial strain. In developing countries, large populations are served with few caregivers and often with limited resources and communication systems. Interest in consumer- and patient-facing interfaces is exploding, with industry and academia taking advantage of advances in consumer-electronics to develop novel health technologies using the Internet (e.g., personal health records), mobile devices, advanced sensors, and sophisticated computing techniques such as pattern recognition, machine learning, data mining, dialogue understanding, and advanced visualization. Northeastern’s PHI program will educate researchers who will lead this emerging industry and transform the way healthcare is delivered and wellness is managed in the U.S and worldwide.

Application Materials

• Online application and fee
• Unofficial undergraduate/graduate transcripts (you can submit official transcripts from all colleges/universities attended at the time of admission)
• Statement of purpose that should include career goals and expected outcomes and benefits from the program
• Recent professional resume listing detailed position responsibilities
• Three confidential letters of recommendation
• GRE Test Scores Optional for 2022-23
• Degree earned or in progress at an U.S. institution
• Degree earned or in progress at an institution where English is the only medium of instruction
• Official exam scores from either the TOEFL iBT, IELTS, or  PTE exam
• Applicants seeking enrollment prior to the Fall 2023 term should apply through this  link .

Application

Applicants must submit the online application and all required admission materials no later than the stated deadlines to be considered for admission. Admissions decisions are made on a rolling basis.

Applicants are reviewed annually for acceptance to the Fall Term:

• December 15: Priority deadline

Applicants seeking enrollment prior to the Fall 2023 term should apply at the link under application materials below.

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PhD in Biomedical and Health Informatics

Preparing informaticians for the future

Today’s decision-making is increasingly driven by data and collaborative practice. Health information technology is both productive and disruptive. We’ve put technology in the hands of more people than ever before. Now we must overcome the usability challenges that have emerged and mine the data that technology is producing.

UIC’s PhD in biomedical and health informatics (BHI) prepares future academicians and healthcare industry leaders. You will join those who are advancing new ideas to enable complex decision-making and promote health information technology.

We focus on research, scholarship and interprofessionality, working in teams that include a range of professions and settings. Our curriculum prepares you to solve today’s complex knowledge management issues—and ensure that these solutions are effective for the healthcare professionals who use them.

Our program is structured to be delivered face-to-face, full-time, using an extensive mentorship model. It is contemporary in terms of technology-based learning, with a small number of courses delivered online or in a blended model.

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Stats and Facts

Your career.

US News & World Report: Education recently noted the high demand for specialists in health informatics. Career opportunities abound in industry and academia. Chicago is an international center of health care and biomedical research, with seven medical colleges and over 50 hospitals located in the area. Many major U.S. health information technology firms invest in research and development in this highly competitive industry.

Job titles include:

• Associate manager for clinical informatics
• Clinical informatics research scientist and senior member research staff
• Post-doctoral fellow for scientific informatics
• Director of medical informatics.

The dramatic rise in the number of health informatics degree programs at universities nationwide means an increased demand for faculty trained at the doctoral level.

Learn from the best

Andrew boyd.

Leading innovation in data simplification to improve clinical outcomes

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Spyros Kitsiou

Focusing research on telemonitoring and mobile health interventions for patients with chronic conditions

• Spyros' profile

Liza Papautsky

Researching how patients make decisions, communicate, and navigate complex sociotechnical healthcare systems

• Liza's profile

Understanding by Doing

Our program emphasizes research and scholarship. You’ll perform at least 40 hours of research in your focus area, but you won’t do it alone.

Each student has two mentors: a primary mentor for specialized research, and a secondary mentor for methodology. Your research will respond to challenging informatics questions that involve all the health professions across all health care settings—urban and rural.

We collaborate with colleagues throughout the University of Illinois Hospital and Health Sciences System, dedicated to health equity. We draw upon UIC’s collective expertise in seven health sciences colleges, as well as the colleges of Engineering, Business Administration, Liberal Arts and Sciences, Architecture, Design and the Arts and the Library of the Health Sciences.

This academic environment allows both traditional investigation and community-based approaches to research.

We're here for you

Still wondering what a PhD in biomedical and health informatics can do for you? Please fill out the form below. We’re here to answer your questions.

You can contact the program at:

[email protected]

312-996-7337

1919 W. Taylor St. 250 AHSB (MC 530) Chicago, IL 60612

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Information Science Ph.D. With a Concentration in Health Informatics

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We're so glad you're interested in UNT! Let us know if you'd like more information and we'll get you everything you need.

Why Earn an Information Science Ph.D. With a Concentration in Health Informatics?

The UNT Information Science Ph.D. program with a concentration in Health Informatics responds to the varied and changing needs of an information age, increasing recognition of the central role of information and information technologies in individual, social, economic and cultural affairs.

The mission of UNT's Information Science Ph.D. program is to provide a center of excellence in graduate education and research. Its primary goals are to:

• Nurture critical and reflective thinking on the fundamental issues and elements of problems of utilization of information
• Foster an environment of substantive and productive mentoring and apprenticeship
• Prepare scholars passionate about the role of information in human affairs
• Foster cross-disciplinary thinking and research.

Students are recruited to the program from a wide range of disciplines and encouraged to expand and refocus their expertise and skills in cutting-edge areas of information science that cross disciplinary boundaries. The multifaceted nature of information science warrants the focusing of resources, courses and faculties from a broad range of academic units.

• Research and publication
• Pedagogical practices
• Critical thinking
• Leadership ability
• Data analysis

Information Science Ph.D. With a Concentration in Health Informatics Highlights

What can you do with an information science ph.d. with a concentration in health informatics.

There is a great need for a health care workforce that possesses the skills and competencies that this concentration provides. Graduates will be able to work in health care as well as health information management settings.

Information Science Ph.D. With a Concentration in Health Informatics Courses You Could Take

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Consumer Behavior and Experience Management Information Science Ph.D.

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PhD in Personal Health Informatics

The PhD in Personal Health Informatics (PHI) is a joint program between the Khoury College of Computer Sciences and Bouvé College of Health Sciences . It combines interdisciplinary curriculum with rigorous research opportunities, including collaborations with industry partners, medical institutions, community organizations, and other partners throughout Boston’s robust health, technology, and personal health sectors.

The program focuses on innovations that improve care from the patient’s perspective, setting us apart from medical and health informatics degrees that focus primarily on the impact of provider-facing systems. These personal health technologies are used by non-health professionals both in and out of clinical settings and in various life stages of illness and wellness. We are committed to educating future leaders who will transform health care and empower individuals to lead healthy, engaged, and high-quality lives.

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PhD students at Khoury College gain deep knowledge and invaluable experience—preparing them for a career in academia as well as research.

Learning Outcomes

This program seeks to produce graduates who are capable of leading and performing independent, new research projects related to personal health informatics and who are well prepared to enter into a number of potential career paths, including industrial research positions, government consultants, or postdoctoral or junior faculty positions in academic institutions in either technology programs or schools of health science, public health, or medicine.

Degree Outcomes

The dissertation committee evaluates whether the student has produced a significant contribution to personal health informatics research. The process used by the dissertation committee is based on an assessment of the goals and objectives described in the written PhD proposal. Student success can also be measured in the number and quality of publications generated by the research.

Improving Effectiveness

Publication venues will provide a means to assess the quality of the program, as well as the research projects. External research funding and incoming student quality will be used to measure program strength. In addition, graduates will be asked for feedback concerning their training and program preparation.

Our flagship campus in Boston is just minutes away from esteemed universities, exciting start-ups, and leaders in tech, finance, health care, and more.

Research Opportunities

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PhD In Personal Health Informatics

Interdisciplinary program offered by

The PhD in Personal Health Informatics (PHI) is a joint program between the Khoury College of Computer Sciences and Bouvé College of Health Sciences . With an interdisciplinary focus, our PHI doctoral students collaborate with research partners in health organizations, medical institutions, and industry, as well as  partners throughout Boston’s robust health, technology, and personal health sectors. A rigorous curriculum grounds our PHI students in systems and theories related to the behavioral aspects of medicine and health and human-computer interaction.

This program focuses on innovations that change and advance health and wellness across the human lifespan. This sets our program and faculty apart from medical and health informatics programs that are centered on the impact of provider-facing systems. Our community is made up of students from diverse backgrounds: while some come with a tech background they want to apply to health and wellness, others come directly from a health and wellness setting, where they’ve perceived how tech research can improve practice. We are committed to educating future leaders who will do research that transforms healthcare and empowers individuals to lead healthy, engaged, and high-quality lives.

As a joint doctoral degree between Khoury College and Bouvé College of Health Sciences , the Personal Health Informatics PhD program takes a truly interdisciplinary approach that combines computer science, design, and health.

Research is integral to the Personal Health Informatics doctoral degree, as students and faculty work together to find impactful solutions to today’s health and wellness challenges. Researchers cross the boundaries of public health, medicine, and social and computer sciences—which in turn prepares students for excellence in a specific research area of personal health informatics. It is this interdisciplinary experience that sets the program apart.

Demand is on the rise for patient-centered human-computer interfaces that are cost-effective and improve health knowledge and outcomes. Experts skilled in creating these technologies will be vital to emerging industries, and personal health informatics will take center stage in the future of medicine.

Get ready to ignite positive, disruptive change in health and wellness worldwide.

The PHI PhD program prepares researchers to lead a transformation in the way wellness is managed and healthcare is delivered nationally and globally – especially for older adults, urban minorities, persons with disabilities, and populations with low health literacy. Graduates of our program will be equipped to invent, prototype, evaluate, and share broadly the next generation of personal health informatics technologies.

The PHI Seminar Speaker Series

Speakers include innovative thinkers in academia and health and medical technology on varied topics, including basic research that impacts PHI technology, development, deployment, and evaluation of PHI systems, innovations in related key technologies, and health technology innovation, dissemination, and entrepreneurship.

Northeastern PHI Seminar Speaker Series

This is a one-way, low-volume mailing list for talk announcements in the Personal Health Informatics Seminar Speaker Series. The PHI list is the best one for those who want to receive speaker series announcements and other information related to personal health informatics.

Join the PHI Seminar list »

Northeastern personal health informatics.

This mailing list is for anyone in the Northeastern community and Boston area interested in personal health informatics or related topics. Messages appropriate for the list include announcements of talks/seminars at Northeastern and in the Boston-area, calls for conference or journals papers, information about requests for grant proposals, announcements of upcoming events/conferences, announcements for open jobs that may be of interest to list members, and pointers to information on new, interesting innovations in personal health informatics. This list will also include the PHI-Seminar announcements. All members of the list can post to the list.

Join the PHI list »

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PhD in Health Informatics – Handbook

Overview | Current Students |   Pillar Course Offerings | Contact Us

Welcome to the Carolina Health Informatics Program (CHIP) PhD Handbook where student, faculty, and committee members will find detailed information about the CHIP doctoral degree program.

To access a complete and up-to-date PDF of the handbook, follow this link .

NOTE : Handbook last updated August 1, 2023

PhD Handbook

Statement of purpose.

The purpose of the Carolina Health Informatics Program’s doctoral program is to prepare graduates to contribute to the field of biomedical and health informatics studies through research, teaching and exposure to practical BMHI challenges. The doctoral program prepares scholars for careers involving research and instruction as well as leadership roles in industry. The doctoral program provides students with research experience, familiarity with BMHI concepts, theories and methods. In addition, the program allows participation in an active research community as well as exposure to the thriving BMHI industry in the RTP, NC area.

Admission Process

CHIP’s PhD program attracts students with diverse backgrounds in public health, pharmacy, dentistry, IT (information systems or computing), and clinical practices (MD or RN) who are seeking advanced training for a broad range of research and leadership roles in academic, corporate, non-profit and government settings. The main career paths envisioned for graduates with a PhD in Health Informatics include: academic research and scholarship; research scientist in non-academic setting; and leadership positions, including CIO/CRO or similar in public and private health care organizations and key health policy development roles in government agencies.

Applicants should have a GPA of 3.0 or greater for all academic pursuits, GRE scores above the 50th percentile on all sections of the test and, if applicable, a minimum TOEFL score of 90.

International Students

An international student is a student who is attending UNC-Chapel Hill without U.S. Citizenship or is not a Legal Permanent Resident of the United States.

There are many resources on campus to help guide international students through the complexities that may accompany their transition to the United States.  UNC Global International Student and Scholar Services (ISSS) is an excellent resource for international students to seek guidance with issues including arrival planning and visas.

Academic Background

Applicants must have at least a bachelor’s degree and should have a strong interest in biomedical and health informatics. Previous research experience or a master’s degree pertaining to BMHI is strongly encouraged.

Degree Requirements

The CHIP PhD program is diverse through its interdisciplinary course work and research driven projects. With the guidance of advisers, graduate students will develop a course structure that will meet the following requirements for the PhD program:

• 21 credit hours of Pillar course work
• 12 credit hours of electives*
• 6 credit hours of doctoral research credit*
• * Additional research and dissertation credit hours, elective credit hours, or transfer cred can be completed to fill the gap to accumulate the 55-credit hours required for the degree
• Completion of a comprehensive written examination
• Completion of a comprehensive oral examination based on the written examination
• Completion and defense of dissertation proposal
• Admission into candidacy
• Completion and defense of dissertation

Click Here to view a timeline of PhD program milestones and deadlines. Each of the above requirements is explained in a dedicated section elsewhere in this handbook.

Note:  Coursework can be transferred in from previous degrees.  Up to 18 credit hours can be transferred into the health informatics doctoral degree program.  The recommendation to grant transfer credit will be made on a case-by-case basis and will require the approval of the UNC Graduate School.

Note:  students are required to consult and keep current with the rules and policies of the Graduate School of UNC-CH with respect to doctoral study, candidacy, dissertation defense and other topics.

Graduate Good Standing and Grading

Students are required to be registered whenever degree progress is being made or University resources (including faculty time) are being used to appropriately reflect work being done. Academic programs and students should be aware that students who lapse enrollment lose official student status and recognized University affiliation. Additional information regarding the Graduate School registration policies is available here .

All master's and doctoral programs administered through The Graduate School operate under the same grading system. The graduate grading scale in use at UNC-Chapel Hill is unique in that it cannot be converted to the more traditional ABC grading scale. Graduate students do not carry a numerical GPA.

A student may become ineligible to continue studies at UNC-Chapel Hill and The Graduate School for academic reasons and student code violations. For more information, please refer to the Graduate School Handbook Eligibility policy .

In accordance with UNC-Chapel Hill’s grading policy , course grades will be given on the H, P, L, F scale.  If a student receives an F grade in any course, or nine credits hours of an L grade, they will immediately become academically illegible.

H            High Pass

P            Pass

L             Low Pass

F            Fail

The coursework for the PhD program is customizable and can be designed to fit each student’s interests and level of experience in various areas.  The core of the doctoral coursework will be taken for five different “pillars” which form the structure of CHIP’s curriculum: Core & Frontier; Tools & Infrastructure; Research Methods; Project Management & Leadership; and Implementation Science & Research.

Core & Frontier Pillar

Core and Frontier courses will expose students to the foundational concepts in informatics.  This pillar allows students to gain a firm understanding of research challenges and the nature of these challenges.  Courses in this pillar will cover advanced data modeling; data management and warehousing; data integration and networking; data presentation and visualization principles; data governance and data ethics. Six (6) credit hours are required.

Tools & Infrastructure Pillar

Tools and Infrastructure courses will go beyond the basic concepts and principles covered in core topics.  This pillar will offer opportunities for students to gain experience in manipulating wide varieties of data occurring in diverse health care contexts. It will also train students to build new tools and methods for extracting insights from health data.  The courses in this pillar will cover advanced training in statistical analysis; data mining; system analysis and design; data interpretation and data quality. Six (6) credit hours are required.

Research Methods Pillar

Research Methods courses will focus on constructing sound research studies concentrated on various aspects of health care.  The courses in this pillar will cover gathering research data; analysis of research data; drawing conclusions from research data; presenting research data; and identifying limitations based on gaps present in research data. Three (3) credit hours are required.

Project Management & Leadership Pillar

Project Management and Leadership courses examine current techniques and methods on leading and sustaining research projects.  Emphasis will be placed on project management skills in the context of developing and maintaining research projects that span a several year period. Three (3) credit hours are required.

Implementation Science & Research Translation Pillar

Implementation Science and Research Translation courses emphasize developing research projects with an eye toward the conversion of key outcomes that will have a direct impact on the health care of individuals or a community.  Coursework in this pillar will cover understanding intellectual property rights; collaboration with stakeholders such as government, for-profit and non-profit organizations; dissemination of research; and ensuring long-term sustainability of outcomes/solution. Three (3) credit hours are required.

Sample Pillar Course Offerings

Click Here to view a list of sample Pillar course offerings. Students can select courses from this list or consult with their faculty advisor about alternative course offerings that satisfy Pillar course requirements.

Doctoral Exam Committee (Dissertation Committee)

The primary focus of the doctoral exam committee is to guide the student through the PhD. The committee also administers the comprehensive exam, dissertation proposal, and dissertation defense.

Committee Structure

Summary of committee structure:.

• At least 5 members. The advisor(s) count towards this number
• Other members should be UNC graduate faculty or can be faculty at other institutions. Members from other institutions– known as External Members, must be nominated as a fixed-term UNC graduate faculty member prior to serving on a doctoral examination committee. Note: CHIP does not pay for members of other institutions to travel to Chapel Hill, except to provide parking vouchers if available.

Designating a Fixed-Term Graduate Faculty External Member on a Doctoral Exam Committee

The CHIP doctoral program coordinator can facilitate the fixed-term graduate faculty nomination process for students. To initiate this process students should submit the following:

• A current copy of the external members Curriculum vitae (CV)
• A link to the external members institution/employer directory listing
• A Unilateral Non-Disclosure Agreement form completed by the external member.

Upon submission of this documentation the CHIP doctoral program coordinator will submit a fixed-term graduate faculty nomination to the Graduate School.

Committee Meetings

A student's faculty advisor typically also serves as the committee Chair. Students will work with their committee chair to arrange committee meetings. If complications emerge, and it is impossible for some or all committee members to be physically present for a meeting, virtual attendance is allowed. Consult the CHIP Doctoral Canvas site for Room Reservation resources and instructions.

Students are responsible for keeping their committee up-to date with their progress and any draft revisions to their comprehensive exam, dissertation proposal and dissertation.

Official Exam Paperwork

Departmental forms and Graduate School forms are required to be completed throughout the doctoral examination process. Submit all doctoral exam paperwork to the CHIP doctoral program coordinator prior to scheduling any oral doctoral exam.

Responsibilities of Student

Students are responsible for working with their advisor to determine the best committee members to fulfill Graduate School and CHIP requirements. Students are then responsible for communicating with prospective committee members and arranging committee member tenure on their committees.

Students are responsible for notifying the CHIP doctoral program coordinator when organizing their doctoral exam committee, and each member’s role (Chair, CHIP faculty, non-CHIP faculty, and external member (if applicable). Changes to committee composition should be made in consultation with a student’s faculty advisor, and paperwork must be submitted to the doctoral program immediately.  Changes to a doctoral committee are not permitted once a student successfully defends the dissertation proposal.

Responsibilities of Advisor(s) & Committee Chair

Advisors are responsible for advising their students on appropriate committee members for student’s committees. When appropriate, advisors may need to reach out to potential committee members to introduce the student and their project.

Faculty advisors serving as committee chair are also responsible for working with the student to arrange committee meetings and keeping the committee up to date with the work of the student.

Responsibility of Committee Members

Committee members are responsible for providing guidance for student’s research, comprehensive exam, dissertation proposal, and dissertation research.

Committee members are responsible for understanding student’s work and providing critical feedback. Committee members must also put every effort forward to attend meetings and keep up to date with the student’s work.

Comprehensive Exam

The Comp Exam is comprised of two parts– a written exam and an oral exam. Each component is described below.

Comprehensive Written Exam

The purpose of the written examination is to develop a manuscript which will evaluate the core topic of the doctoral student’s research interest through a broad lens. The manuscript will be a distinct scholarly product, not a dissertation proposal. The written exam will make a comprehensive and in-depth argument for why the core topic chosen by the doctoral student deserves a new study. The scope of the comprehensive paper will be an in-depth review of the literature around the core topic. A Dissertation Diagram is available here .

To encourage the development of the doctoral student’s research focus, the written comprehensive exam can be viewed as the first iteration, as to what will later develop into, the literature review in the final dissertation. Click Here to view an example of a literature review. The structure of the exam should include past findings, limitations, and potential new research proposals. Key facets that should be covered in the written exam are:

• What are the critical informatics dimensions associated with the core topic of the paper?
• What are the critical health / wellness dimensions associated with the core topic?
• What are the measures and methods used in the past to determine the association between the informatics dimensions and the health dimensions associated with the core topic?
• What were the major findings and observations?
• What were the major limitations associated with past studies associated with the core topic (both methodological and outcome/result level limitations should be discussed)?

Examples of recent written Comprehensive Exams from CHIP doctoral students:

• “ Electronic Health Records Interoperability Research Needs Assessment: A Systematic Review ” (CHIP Doctoral Student Adam Lee, 2020).
• “ Improving Management of Individual Patients with Leukemia ” (CHIP doctoral student, Vincent N. Carrasco, MD MSIS, 2020).

Written Exam Guidelines

Doctoral Students may begin working on their comprehensive exam during the semester in which they complete the course work for their pillar requirements. Doctoral students will not be allowed to register for course credit for their comprehensive exam until they have completed the Doctoral Exam Report Form.

Comprehensive exam coursework will be taken under the guidance of the doctoral student’s advisor. For course credit, students shall enroll in CHIP 994 under the Program Director, Dr. David Gotz (Advisor- Dr. Gotz, Professor of Information Science in the School of Information and Library Science; Course number- CHIP 994). Students should ensure that Dr. Gotz stays up to date on relevant progress updates but the majority of advising will take place under the guidance of the student's official advisor.

There are no official requirements for the length comprehensive exam or number of articles that should be included in the written exam. The length and scope of the exam will vary depending on a number of factors, including if and when the last systematic review of the core topic was conducted and the very nature of the topic itself. Doctoral students are expected to produce a review that adequately covers all the facets provided above.

Note: students are permitted to complete the Comprehensive Exam and the Dissertation Proposal at the same time. In this instance, both the written paper and the oral examination must fulfill the required components of both exams . Consult your faculty advisor if you are interested in developing and defending these examinations at the same time.

JAMIA systematic reviews are the standard for CHIP students. Other, non-JAMIA, systematic reviews can be referenced and cited in the written exam as well.

Examples of systematic reviews:

• Brandon M Welch, Kensaku Kawamoto; Clinical decision support for genetically guided personalized medicine: a systematic review, Journal of the American Medical Informatics Association, Volume 20, Issue 2, 1 March 2013, Pages 388–400,  https://doi.org/10.1136/amiajnl-2012-000892
• K Ann McKibbon, Cynthia Lokker, Steven M Handler, Lisa R Dolovich, Anne M Holbrook, Daria O'Reilly, Robyn Tamblyn, Brian J Hemens, Runki Basu, Sue Troyan, Pavel S Roshanov; The effectiveness of integrated health information technologies across the phases of medication management: a systematic review of randomized controlled trials, Journal of the American Medical Informatics Association, Volume 19, Issue 1, 1 January 2012, Pages 22–30,  https://doi.org/10.1136/amiajnl-2011-000304

The comprehensive exam is not a traditional systematic review, but rather a comprehensive view of the core research topic.

The core research topic of the written exam must be approved by the doctoral student’s advisor. The doctoral student’s committee should be notified about the core research topic, but approval is not required. Approval from the director of the program is not necessary.

Comprehensive Oral Exam

The primary purpose of the comprehensive oral exam is to evaluate whether the student has processed the major points discussed in the comprehensive exam paper. It is also an opportunity for a student’s committee to ask any clarifying questions over points made in the comprehensive exam paper.

The advisor must ensure that all committee members are satisfied with the state of the comprehensive written exam before scheduling the oral exam. Doctoral students will keep committee members up-to date with the developments of their comprehensive exam so that the committee will be prepared to address the core research topic during the oral exam.

Format for the Comprehensive Oral Examination

The typical length of the oral defense is 1 to 1.5 hrs.   At the beginning, the student should provide a brief, 15 to 20 min., presentation touching on the key areas covered in the comprehensive exam.   The floor will then be opened for the committee members to ask follow-up questions on the scope, key observations, related research, and gaps in past research identified by the student in the comprehensive written exam.

The goal here is NOT TO TEST the MEMORIZATION ability of the student in terms of being able to regurgitate content verbatim from the comprehensive exam paper.   Rather, the goal is to assess if the student grasped the core issues, past research findings, some of the major methods, and gaps in research discussed in the comprehensive exam paper.

A related goal is to ask clarifying questions and to ensure all the committee members accurately understand what the student expressed in the comprehensive paper.

The Q&A portion of the oral exam may last 45 min to an hour.   After the Q&A period, the committee chair will request the student to leave the room temporarily and seek feedback from all the committee members before making their final judgment of the exam (Pass or Fail).  If all the members reach a decision (pass or fail), then the student will be requested to re-enter the room and the judgement will be conveyed to the student.

A student passes an examination only after the approval of a majority of the examining committee members.

Note - on rare occasions, a committee member may insist that the comprehensive paper be revised based on findings revealed during the oral exam, before agreeing on a pass.  In such a case the committee chair will request the student to make the change and upon revision, evaluate the change in consultation with the committee member who raised the issue.  If the requesting committee member is satisfied by the change, the committee member will be requested to sign off.  A repeat of the oral defense is usually not required to evaluate such revision requests.

It is permissible for the committee chair to request questions from the committee prior to the oral exam and pass on the questions to the student.   It is up to committee members to voluntarily offer these questions.  Committee members may come up with new or additional questions during the oral exam.

Doctoral students who fail to pass the oral examination will be allowed a single re-take within one academic year time frame. The re-take may or may not require revisions to the submitted exam. Students who do not pass the comprehensive examination on their second attempt will not be allowed to continue in the program.

Required Documentation for Comprehensive Exam

Students must inform the CHIP doctoral program coordinator that an oral doctoral examination has been scheduled via the Notification of Scheduled Examination form . Submitting this completed form signifies your Oral Examination has been scheduled, and that the CHIP doctoral program coordinator should supply the committee with the required Graduate School forms needed to certify their judgement (pass or fail) of your oral exam.

Immediately after the examination has been given, results should be sent to the Program Coordinator on the  Doctoral Exam Report Form Part I & Part II . Part I of the form certifies completion of the written examination, and Part II certifies completion of the oral examination. The Committee Chair should certify the completion of both examinations upon successful completion of the student’s oral examination.

The Committee Chair should submit all paperwork to CHIP Program Coordinator.

In general, only a short interval should separate the two examinations. It is the responsibility of the student to work with their advisor to complete their comprehensive exam within a reasonable amount of time. If the timeline is delayed more than one (1) semester, students must meet with Program Coordinator to provide justification for the delay.

Students are responsible for keeping their committee up to date on their comprehensive exam topic and draft revisions.

It is the student’s responsibility to address all committee members feedback to the written comprehensive exam and oral comprehensive exam.

The advisor is responsible for guiding the students research topic for the comprehensive exam and assisting the student in gathering appropriate literature for the written portion of the exam.

The advisor/committee chair is responsible for assisting in arranging the oral comprehensive exam and verifying that all committee members have reviewed the written comprehensive exam and returned all relevant feedback to the student.

Should the student fail the oral comprehensive exam, the advisor is responsible for ensuring that the student has made appropriate revisions to the written comprehensive exam and that all committee members are satisfied with the revised comprehensive exam. The Committee Chair is responsible for submitting all portions of the Doctoral Exam Report Form to the CHIP doctoral program coordinator.

Responsibility of Dissertation Committee Members

All committee members should read and evaluate the written comprehensive exam. Written feedback should be provided to the student before the oral examination. Each committee member should prepare questions about the student’s written comprehensive exam.

Committee members are responsible for approving the final version of the comprehensive exam. This may require an additional reading of a portion of the exam, or in some cases, all of the written exam if extensive edits are requested.

Committee members are also responsible for ensuring the comprehensive exam is sound in research and level of doctoral ability.

Dissertation Proposal

After successfully passing the comprehensive exam, the student will be required to submit a dissertation proposal which, beyond the systematic review previously completed, should include a methods section, a discussion on potential findings, and a section which anticipates limitations and ethical challenges.  The proposal is not a literature review but the submission of a research question that will be the focus of the doctoral student’s dissertation. The proposal will focus on the student’s chosen methodology to address the research question. The dissertation proposal must also include a thorough justification for the methodology. View Dissertation Diagram  here .

Ideally, the dissertation proposal and research question will develop out of the research conducted during the comprehensive exam.

The proposal will be reviewed by the doctoral student’s dissertation committee.  If the committee agrees with the student’s dissertation proposal, they will determine a suitable oral defense date for the student. The written portion and the dissertation proposal must be completed within one year after the student successfully completes their comprehensive exams.

When students successfully complete their proposal, they will then be allowed to proceed to the dissertation research project stage. If for any reason, the committee determines oral defense to be unsatisfactory, students will be given one additional opportunity to successfully defend the proposal; however, the second defense must be held within three months after the initial proposal defense is held.

Dissertation Proposal Format

Chapter I: Introduction (Overview of the Dissertation)

Problem Statement

Purpose of the Study

Research Questions/Hypotheses

Experimental Design Associated with Hypotheses

Significance

Contributions

Limitations

Chapter II: Background and Related Work*

Historical Background

Literature Review

Review of Theories Related to the Topic

*The Background section should be exclusively focused on very closely related past research papers that directly intersect with the research question/s or the methodology discussed in the proposal (i.e., a small subset of the papers discussed in the comprehensive paper).

Chapter III: Methodology (Details of Dissertation)

Preliminary Studies (Optional)

Experimental Design Applied (e.g. data sources, data collection, analysis, evaluation, etc.)

Chapter IV: Timeline

Chapter V: Bibliography

-Columbia University, Department of Biomedical Informatics. “Dissertation Proposal Defense & Dissertation Defense.”  www.dbmi.columbia.edu/dissertation-defense  (accessed March 21, 2019)

At the discretion and approval of the doctoral student’s advisor, the dissertation proposal should consist of 12 – 30 single-spaced pages with half-inch margins and will be done in Times New Romans, 12-point font.

Example :  This dissertation proposal from CHIP PhD graduate, Malvika Pillai (2022), is a good example covering the important sections for the dissertation proposal.

Dissertation Proposal Defense

Students are encouraged to use the Dissertation-Proposal-Defense-Meeting-Checklist as they prepare to defend the dissertation proposal.

The student must be enrolled in 3 credits of 994 hours the semester of their Dissertation Proposal Defense.

Each member of a student’s dissertation committee must be present during this defense– either virtually or in person. The typical length of the dissertation proposal defense is 1 to 1.5 hrs.   At the beginning, the student should provide a presentation touching on the key areas covered in the methodology section of the dissertation proposal.   The floor will then be opened for the committee members to ask follow-up questions on the dissertation proposal.

The primary goal is to determine whether the student has developed adequate methodology to address the research question and whether the student has grasped the issues surrounding their chosen dissertation research topic. The Secondary goal is for committee members to ask clarifying questions to accurately understand what the student aims to produce in the dissertation research.

The Q&A portion of the oral exam may last 45 min to an hour. After the Q&A period, the committee chair will request the student to leave the room temporarily and seek feedback from all the committee members.  If all the members reach a judgment (pass or fail), the student will be asked to re-enter the room and the judgment will be conveyed to the student.

Note – A graduate student who fails either a written or oral examination may not take the examination a second time until at least three months after the first attempt. The student should work with the academic program to identify areas needing additional emphasis and to establish an action plan to prepare for taking the exam a second time. A student who fails an examination for the second time becomes academically ineligible to continue in the Graduate School.

Immediately after the examination has been given, results should be sent to the CHIP Doctoral Program Coordinator on the  Dissertation Proposal Committee Form .

Required Documentation for Dissertation Proposal

Upon successful completion of the dissertation proposal defense, each dissertation committee member must sign Section II of the Graduate School’s Doctoral Committee and Dissertation Project Form . This form must be submitted to the CHIP Doctoral Program Coordinator.

It is the responsibility of the student to work with their advisor to develop their dissertation proposal within 1 semester of passing their comprehensive exam.  If the timeline is delayed more than one (1) semester, students must meet with the Program Coordinator to provide a justification for the delay.

Students are responsible for keeping their committee up to date on their dissertation proposal status and draft editions. It is also the student’s responsibility to address any feedback provided by the committee on the dissertation proposal.

The advisor is responsible for assisting the student in developing their dissertation proposal.

The advisor/committee chair is responsible for assisting in arranging the dissertation proposal defense, verifying that all committee members have reviewed the dissertation proposal and returned all feedback to the student prior to the defense.

Should the student fail the dissertation proposal defense, the advisor is responsible for contacting the Program Coordinator and meeting with the relevant parties to determine the next steps.

Responsibility of Dissertation Proposal Committee Members

All committee members should read and evaluate the written dissertation proposal. Written feedback should be provided to the student before the oral defense. Each committee member should prepare questions about the student’s research and the dissertation proposal.

Committee members are responsible for approving the final version of the dissertation proposal. This may require an additional read of a portion of the dissertation proposal, or in some cases, all of the proposal if extensive edits are requested.

Admission into Candidacy

Admission to candidacy recognizes the achievement of a significant milestone in the career of a doctoral student and signifies that the only outstanding requirement for the degree is the dissertation. The student is then designated ABD—all but dissertation. Students will be designated as ABD after they have passed both the doctoral written and oral comprehensive examinations, have submitted an acceptable dissertation proposal, and have completed all courses required by the program.

Graduate School Required Documentation

After passing the dissertation proposal defense, students should complete the Application for Admission to Candidacy Form and submit it to the CHIP doctoral program coordinator. The form will be reviewed and approved by the CHIP program director prior to being submitted to the Graduate School. The ABD/Advanced to Candidacy milestone in ConnectCarolina will be marked ‘complete’ once the form is processed by the Graduate School.

Dissertation & Defense

Timing of dissertation research.

Doctoral students have a total of 8 years to complete their doctoral degree from semester of first admittance into the program until the semester of their dissertation defense. Reapplication is required if the student goes beyond 8 years. Any student considering reapplication must first schedule a meeting with the program director, program coordinator, and advisor to discuss the student’s timeline.

Doctoral students must be enrolled in 3 credits of 994 hours during any semester an action is taken on any doctoral examination. Students must complete the 994 Course Registration form and Learning Contract each semester they intend to enroll in this course.

Students must be enrolled in 994 during the semester of their dissertation defense (final oral defense).

Writing the Dissertation

The Graduate School only accepts dissertation formats produced according to the standards in the  Graduate School's Thesis and Dissertation Guide . Documents must be prepared in a form consistent with approved methods of scholarly writing and research. On matters of form, the student should also consult published manuals of style. Sample draft pages of the document may be pre-approved by Graduate School staff before the submission deadline, but final approvals will occur only after the student has submitted the final document.

The Defense (Final Oral Examination)

The final oral defense will be held only after all members of the committee have had adequate opportunity to review a draft of the doctoral dissertation. The dissertation advisor is responsible for determining that the draft is in an appropriate form for committee evaluation. The dissertation advisor should keep all other committee members fully aware of the progress the candidate is making on the dissertation. If substantial revisions are necessary, they should be completed before the final oral defense is scheduled. The dissertation advisor is responsible for informing the committee of their responsibility to conduct a careful review of the dissertation, and ensures all committee members are given sufficient time to review, provide feedback, and are aligned in terms of arranging a specific oral defense date.

Candidates will work with their advisor/committee chair to schedule a dissertation defense meeting with their dissertation committee. All committee members are expected to be present at the defense. When necessary, participation via distance-based capabilities is appropriate and should be mutually agreeable to the student and other committee members.

The defense may be open to the public, limited in attendance to the candidate and the committee, or a combination of the two. Questions that relate the dissertation to the field are appropriate.

The defense will begin with a concise presentation from the student over their dissertation research. Then a Q&A session from the committee will commence and will continue until the committee chair deems all appropriate questions have been addressed, and all discussion of the dissertation is complete.   After the Q&A period, the committee chair will request the student to leave the room temporarily and seek feedback from all the committee members.  After the committee members reach a judgement (pass or fail), the student will be requested to re-enter the room and the judgement will be conveyed to the student. At the time of the final oral defense the committee may require revisions and/or corrections to the student’s written dissertation, but these should constitute relatively minor changes agreed to by a majority of the committee members.

Required Documentation for Dissertation and Final Defense

Upon successful completion of the oral dissertation defense the entire committee should sign Part III of the Doctoral Exam Report Form . If no revisions or corrections are required to be made to the written dissertation, the entire dissertation committee can also sign Part IV of the Doctoral Exam Report Form . The CHIP doctoral program coordinator will provide instructions to the committee chair to facilitate completing this form. Students are not expected to collect the signatures required for this form.

If revisions and/or corrections to the written dissertation are required, the dissertation committee must wait to complete Part IV of the Exam Report Form until the revisions/corrections are made by the student.  Once revised/corrected the committee chair should inform the CHIP doctoral program coordinator to facilitate the completion of Part IV of the Doctoral Exam Report Form–collecting signatures from the entire committee, in addition to checking the box on the form to certify all required edits were made and the final dissertation document is approved for electronic submission. Finally, the completed Doctoral Exam Report Form should be sent to the Program Coordinator for submission to the Graduate School to record completion of the dissertation and defense.

Note  - A graduate student who fails either a written or oral examination may not take the examination a second time until at least three months after the first attempt. The student should work with the academic program to identify areas needing additional emphasis and to establish an action plan to prepare for taking the exam a second time.

A student who fails an examination for the second time becomes academically ineligible to continue at the Graduate School.

Submission of Completed Dissertation

Completed theses and dissertations must be submitted by the deadlines posted on the Graduation Deadlines website, in final form designed to meet the standards defined in The Graduate School's Thesis and Dissertation Guide. The Submission Checklist is a helpful resource guide that outlines all formatting instructions for a successful submission. Documents submitted electronically will not require front page signatures. It is strongly suggested that every document be submitted well before the deadline to ensure ample time for format revisions.

Suggested Dissertation Submission Timeline

1. Writing Dissertation

• To ensure that all standards are met, consult The Graduate School’s Thesis and Dissertation Guide
• Review and discuss how copyrighting may impact research and writing, including decisions about publishing one’s own work.  The University Libraries' Scholarly Communications Office   is a campus resource on scholarly publishing practices.
• Take advantage of campus resources such as workshops, University Libraries, and the Writing Center.

2. Before Dissertation Defense (final oral defense)

• Set up account in the  ProQuest ETD Administrator . Review the site for useful information about the online submission process.
• Ensure that all committee members have reviewed the final dissertation draft.

3. After Defense

• Students should collect any edits required by committee members.
• Final approval of all edits and changes must be approved by the committee.
• Submit the completed and approved dissertation to the Graduate School. Follow the checklist and submission instructions in the  Thesis and Dissertation Guide .
• In addition to uploading a PDF of the dissertation, students should be prepared to provide added information (e.g., abstract, keywords, and subject headings) about the dissertation for indexing and identification purposes.
• After the dissertation has been submitted, students should check email regularly for updates. Make any required revisions promptly.
• Students will receive a final email notifying them that their ETD has been accepted. ProQuest will make the title and abstract of the dissertation available online shortly after graduation. The University Libraries will make the dissertation available within one semester.

Responsibilities of the Student

It is the student’s responsibility to work with their advisor to conduct their dissertation research and write their dissertation. Students are expected to follow Graduate School standards defined in The Graduate School’s Thesis and Dissertation Guide .

Students are expected to keep their committees informed of all dissertation drafts and developments. Students are also responsible for updating the Program Coordinator about their dissertation timeline.

Under the guidance of their advisor, students are responsible for addressing all appropriate changes and edits committee members suggest to their dissertation research and final draft.

Students are responsible for submitting their completed dissertation to the Graduate School and for applying to graduate in the appropriate semester through ConnectCarolina. Students are also responsible for addressing all Important Graduation Dates for the semester they intend to graduate in.

Responsibilities of the Advisor(s) & Committee Chair

The responsibilities of the advisor include guide the doctoral student’s dissertation research project and dissertation development. The advisor should be aware of all dissertation development, concerns, and if applicable, delays. The advisor is encouraged to reach out to the program with any questions or concerns about the dissertation process.

It is the advisor’s responsibility to determine when the student’s dissertation has reached a point of completion, that it can be share with the committee. The advisor is responsible for ensuring that the student addresses all appropriate concerns and edits to the dissertation draft, submitted by the committee before the dissertation defense.

Once the advisor deems the dissertation complete, it is the responsibility of the advisor/committee chair to assist the student in arranging the dissertation oral defense with the committee. During the defense, the advisor/committee chair will be responsible for running the defense.

The advisor is responsible for ensure that any edits or suggestions made by the committee during the defense are completed by the student and agreed to by a majority of the committee before the student submits the dissertation to the Graduate School.

Responsibilities of the Other Dissertation Committee Members

All committee members should read and evaluate the dissertation. Written feedback should be provided to the student before the oral defense. Each committee member should prepare questions about the student’s research and the dissertation.

Committee members are responsible for approving the final version of the dissertation. This may require an additional read of some or all of the dissertation if extensive edits are requested.

Preparing for Graduation

The following tasks and paperwork should also be completed during a student’s final semester, by the given deadline specified for each.

Apply to Graduate

All candidates must apply to graduate through their ConnectCarolina accounts. Full instructions can be found at the  University Registrar’s Applying for Graduation  site. Students should follow the  Important Graduation Dates  schedule set by the Office of the University Registrar.

Program Certification of Degree Requirements

Students should submit a Program Certification of Degree Requirement Form to the CHIP doctoral program coordinator upon successful submission to the ProQuest ETD Administrator site.

Publications & Presentation

There is no official requirement for CHIP PhD students to submit to peer-reviewed journals or other scholarly publications.  However, students will be expected to actively participate in scholarly writing and dissemination of research through presentations and publications.  Likely venues to be targeted will include national conferences such as the AMIA and IEEE meeting and high impact journals such as the Journal of the American Medical Informatics Association.

Biomedical Informatics

• Academics & Education

PhD in Biomedical Informatics

• PhD Course Requirements
• PhD Mentors
• Current Students

Our PhD program provides intensive research training and coursework in biomedical informatics. The primary goal of the program is to train the next generation of students to be independent scientists who can transform data into knowledge to improve the health of individuals and populations.

CURRICULUM CUBE

The strengths of our program faculty are utilized in the building of the curriculum. This figure shows the expertise by application area (green, yellow, orange, red), methodology (grey), and focal research area (teal). After a year of core courses, students join an application track and choose methods courses as needed. The research foci are woven through the curriculum and demonstrate departmental strengths, although students are not limited to these fields.

Application Tracks

The strengths of our program faculty are utilized in the building of our curriculum and broken down into 4 application areas: , translational bioinformatics, public health informatics, clinical research informatics, clinical informatics, methods tracks, there are 4 methods tracks, and students select courses from one or more track to meet their learning needs:, data science, ai, analytics & computational methods, ethical issues in informatics & data science, sociotechnical design & evaluation, standards & interoperability, research threads, there are 4 focus research threads that have been designed to allow the trainee to find their starting point and build their skill set and knowledge:, precision medicine, health disparities & diversity, disease prevention, the phd degree requires approximately 40 hours of formal classwork with a grade of b or better. a phd student must pass a written and oral comprehensive exam after the first year of study. graduate work at this or other institutions, including courses taken for an ms degree, may be applied to the phd coursework requirement at the discretion of the student's advisory committee. after completion of coursework, the student must pass a phd written and oral qualifying examination. in addition to the classwork, 14 or more hours of research work (taken as bmi 7970) are required. this work must lead to completing and defending an original phd dissertation demonstrating the student's capabilities to conceive and execute an independent research project., the admission process is rigorous, and we attempt to provide funding for all admitted candidates. we work to match people's interest with research projects mentors. funding includes:, annual $40,000 stipend, 100% tuition coverage, health insurance, support for research conferences, more information, first department of biomedical informatics, established in 1964, internationally recognized as a leader in biomedical informatics, available support via the national library of medicine training grant and other resources, abundant research opportunities with leaders in the field, phd application deadlines, december 1st.

Online Application

Frequently Asked Questions

Informatics

Health informatics ms and phd curriculum, course requirements, phd program.

The PhD program in the Health Informatics subprogram inherits all course requirements of the Informatics PhD program; that is, a total of 72 semester hours beyond the bachelor’s degree, with 18 semester hours satisfying the Certificate in Informatics (Health Informatics). In addition, and specific to this particular subprogram, students must complete both Health Informatics I (3 semester hours) and Principles of Public Health Informatics (3 semester hours) as part of their 18 core semester hours.

The remaining 54 semester hours should be selected, in consultation with the student’s advisor, from disciplinary courses relevant to the student’s particular Health Informatics focus.

Master of Science

The MS program in the Health Informatics subprogram offers an MS thesis/non-thesis option and requires completion of a minimum of 32 course semester hours beyond the bachelor’s degree with at least 18 of the 32 hours satisfying the requirements of the Certificate in Informatics.

Health Informatics Core (6 s.h.)

All students must take the following two courses:

• IGPI/EPID:5220 Principles of Public Health Informatics (3 s.h.) (Fall)
• IGPI:5200 Health Informatics (3 s.h.) (Spring)

Foundations of Informatics (12 s.h. PhD; 9 s.h. MS)

PhD students must complete 3 s.h. in each of areas a, b, c and d, below. 

MS students must complete 3 s.h. from each of a, b and c, below.

a. Introductory Informatics (3 s.h.)

• IGPI/CS:5110 Introduction to Informatics (3 s.h.) (Fall)

b. Programming (3 s.h.)

•  CS:3210 Programming Languages and Tools: Programming with C++ (3 s.h.) (Fall and Spring)
•  CS:3210 Programming Languages and Tools: Programming with Java (3 s.h.) (Fall and Spring)
•  IGPI/BME:5321 Bioinformatics Techniques (3 s.h.) (Fall)

c. Database Systems (3 s.h.)

• IGPI/MSCI:4220 Advanced Database Management & Big Data (3 s.h.) (Spring)
• IGPI/SLIS:6100 Database Management (3 s.h.) (Spring)
• CS:4400 Database Systems (3 s.h.) (Fall and Spring)

 d. Specialization (3 s.h.; PhD only)

• IGPI/MSCI:4480 Knowledge Discovery (3 s.h.) (Fall)
• CS:5430 Machine Learning (3 s.h.)
• CS:4980 Topics in Computer Science II (3 s.h.) (case by case approval) (Fall and Spring)

Statistics and Research Methodology (9 s.h. PhD; 3 s.h. MS)

PhD students must complete three of the following courses, below.

MS students must complete one course from below.

• NURS:7002 Designing Research (3 s.h.) (Fall)
• IGPI/BIOS:5120 Regression & ANOVA in Health Sciences (3 s.h.) (Spring)
• IGPI/STAT:3120 Probability and Statistics (MS only; 3 s.h.) (Fall and Spring)
• IGPI/GHS:3011 Identifying/Developing Global Health Project (3.s.h.) (Fall)

Ethical Conduct of Research (1 s.h.; PhD only)

• ENGR:7270 Engineering Ethics (1 s.h.) (Fall)

Major (9 s.h.; PhD only)

PhD students must complete 9 s.h. of coursework specific to a chosen major field. 

Potential majors include:

a. Public Health Informatics

b. Clinical Informatics (includes Medical Research, Nursing, Dentistry, Imaging, and Translational Science)

Please note: These course requirements are effective for students admitted to the program beginning with the spring 2014 term or thereafter.

Health Informatics

Sample electives by college.

Included below is a list of potential electives that may be appropriate for Health Informatics (HI) students.  Each HI student’s plan of study is unique, and needs to be coordinated in careful consultation with his/her designated academic advisor.  Courses not on this list may be credited to the HI plan of study with the approval of the student’s advisor and the HI advisory board.  Students with a computational background will be expected to use their coursework to develop expertise in the health sciences, while students with a health background will need to focus more on computing courses.

College of Business

Management Sciences

• IGPI/MSCI:4220 Advanced Database Management & Big Data (3 s.h.)
• IGPI/MSCI:4480 Knowledge Discovery (3 s.h.)
• IGPI/MSCI:6600 Linear Programming (3 s.h)
• IGPI/MSCI:6700 Discrete Optimization (3 s.h.)
• IGPI/MSCI:7000 Management Sciences Topics (3 s.h.)

College of Engineering

Biomedical Engineering

• IGPI/BME:5206 Medical Imaging Physics (3 s.h.)
• IGPI/BME:5212 Biomedical Signal Processing (3 s.h.)
• IGPI/BME:5251 Advanced Biosystems (3 s.h.)
• IGPI/BME:5321 Bioinformatics Techniques (3 s.h.)
• IGPI/BME:5330 Computational Genomics (3 s.h.)
• BME:5401 Biomaterials and Implant Design (3 s.h.)
• BME:5510 Cardiovascular Biomechanics (3 s.h.)
• BME:5610 Musculoskeletal Biomechanics (3 s.h.)
• BME:5620 Intro to Applied Biomedical Finite Element Modeling (3 s.h.)
• BME:5640 Ergonomics of Occupational Injuries (3 s.h.)
• BME:5920 Fast-Track Biomedical Engineering Design 2-A (3 s.h.)

Chemical and Biochemical Engineering

• CBE:4156 Scanning Electron Microscopy and X-ray Microanalysis (3 s.h.)
• CBE:5205 Introduction to Biochemical Engineering (3 s.h.)

 Civil and Environmental

• IGPI/CEE:4159 Air Pollution Control Technology (3 s.h.)
• CEE:4515 Computer-Aided Engineering (3 s.h.)
• IGPI/CEE:6151 Environmental Systems Modeling (3 s.h.)

 Electrical and Computer Engineering

• IGPI/ECE:5450 Machine Learning (3 s.h.)
• IGPI/ECE:5460 Digital Signal Process (3 s.h.)
• IGPI/ECE:5480 Digital Image Processing (3 s.h.)
• IGPI/ECE:5641 Computer-Based Control Systems (3 s.h.)
• ECE:5800 Fundamentals of Software Engineering (3 s.h.)
• IGPI/ECE:7470 Image Analysis and Understanding (3 s.h.)
• IGPI/ECE:7480 Advanced Digital Image Processing (3 s.h.)

Mechanical and Industrial Engineering

• IE:3350 Process Engineering (4 s.h.)
• IE:3400 Human Factors (3 s.h.)
• IE:3450 Ergonomics (3 s.h.)
• IE:3500 Information Systems Design (3 s.h.)
• IE:3700 Operations Research (3 s.h.)
• IE:3750 Digital Systems Simulation (3 s.h.)
• IE:6300 Innovation Science and Studies (3 s.h.)
• IE:6350 Computational Intelligence (3 s.h.)
• IE:6420 Human/Computer Interaction (3 s.h.)
• IE:6440 Airborne Design of Experiments (3 s.h.)
• IE:6720 Nonlinear Optimization (3 s.h.)
• IE:6750 Stochastic Optimization (3 s.h.)

Mechanical Engineering

• ME:4110 Computer-Aided Engineering (3 s.h.)
• ME:4111 Numerical Calculations (3 s.h.)
• IGPI/ME:4115 Finite Element I (3 s.h.)
• IGPI/ME:6216 Finite Element II (3 s.h.)
• ME:7269 Computational Fluid Dynamics and Heat Transfer (3 s.h.)

College of Liberal Arts and Sciences

• BIOL:3172 Evolution (4 s.h.)
• IGPI/BIOL:3314 Genomics (3 s.h.)
• IGPI/BIOL:4213 Bioinformatics (4 s.h.)
• IGPI/BIOL:4373 Molecular Evolution (3 s.h.)

Computer Science

• CS:3210 Programming Languages and Tools: Programming with C++ (3 s.h.)
• CS:3210 Programming Languages and Tools: Programming with Java (3 s.h.)
• CS:4400 Database Systems (3 s.h.)
• CS:4420 Artificial Intelligence (3 s.h.)
• CS:4720 Optimization Techniques (3 s.h.)
• CS:4980 Topics in Computer Science II (e.g. data mining, fundamentals of web programming, sensor networks, privacy and anonymity) (arr.)
• IGPI:5110 Introduction to Informatics (3 s.h.)
• CS:5800 Fundamentals of Software Engineering (3 s.h.)

Mathematics

• MATH:4060 Discrete Mathematical Models (3 s.h.)
• MATH:4610 Continuous Mathematical Models (2 s.h.)
• MATH:4860 High Performance and Parallel Computing (3 s.h.)

Statistics and Actuarial Science

• IGPI/STAT:3100 Introduction to Mathematical Statistics I (3 s.h.)
• IGPI/STAT:3101 Introduction to Mathematical Statistics II (3 s.h.)
• IGPI/STAT:3120 Probability and Statistics (3 s.h.)
• IGPI/STAT:3200 Applied Linear Regression (3 s.h.)
• STAT:3210 Experimental Design and Analysis (3 s.h.)
• IGPI/STAT:3510 Biostatistics (3 s.h.)
• STAT:3620 Quality Control (3 s.h.)
• IGPI/STAT:4100 Mathematical Statistics I (3 s.h.)
• IGPI/STAT:4101 Mathematical Statistics II (3 s.h.)
• IGPI/STAT:4200 Statistical Methods and Computing (3 s.h.)
• STAT:4510 Regression, Time Series, and Forecasting (3 s.h.)
• IGPI/STAT:4522 Bayesian Statistics (3 s.h.)
• STAT:5100 Statistical Inference I (3 s.h.)
• STAT:5101 Statistical Inference II (3 s.h.)
• IGPI/STAT:5199 Applied Statistics I (3 s.h.)
• STAT:5201 Applied Statistics II (3 s.h.)
• IGPI/STAT:5400 Computing in Statistics (3 s.h.)
• STAT:6300 Probability and Stochastic Processes I (3 s.h.)
• STAT:6301 Probability and Stochastic Processes II (3 s.h.)
• IGPI/STAT:6511 Applied Generalized Regression (3 s.h.)
• STAT:6516 Design of Experiments (4 s.h.)
• IGPI/STAT:6530 Environmental and Spatial Statistics (3 s.h.)
• STAT:6540 Applied Multivariate Analysis (3 s.h.)
• STAT:6547 Nonparametric Statistical Methods (3 s.h.)
• STAT:6560 Applied Time Series Analysis (3 s.h.)
• STAT:7100 Advanced Inference I (3 s.h.)
• STAT:7101 Advanced Inference II (3 s.h.)
• STAT:7200 Linear Models (3 s.h.)
• STAT:7300 Foundations of Probability I (3 s.h.)
• STAT:7301 Foundations of Probability II (3 s.h.)
• IGPI/STAT:7400 Computer Intensive Statistics (3 s.h.)
• STAT:7520 Bayesian Analysis (3 s.h.)
• STAT:7560 Time Series Analysis (3 s.h.)
• STAT:7570 Survival Data Analysis (3 s.h.)

Graduate College

School of Library and Information Science

• IGPI/SLIS:5203 User Education: Multimedia (3 s.h.)
• IGPI/SLIS:6100 Database Management (3 s.h.)
• IGPI/SLIS:6140 Digital Environments (3 s.h.)
• IGPI/SLIS:6380 Analysis of Scholarly Domains (3 s.h.)
• IGPI/SLIS:5043 Contextual Foundations-Special Libraries (3 s.h.)
• IGPI/SLIS:6490 Information Policy and Ethics (3 s.h.)

Applied Mathematics and Computational Science

• AMCS:5900 Seminar: Applied Mathematical and Computational Sciences (arr.)
• AMCS:7990 Reading and Research (arr.)
• GENE:6200 Special Topics in Genetics (1 s.h.)
• GENE:7191 Human Molecular Genetics (3 s.h.)

College of Medicine

• IGPI/PATH:5270 Pathogenesis of Major Human Diseases (3 s.h.)

College of Public Health

Biostatistics

• IGPI/BIOS:5120 Regression and ANOVA in Health Sciences (3 s.h.)
• IGPI/BIOS:5310 Research Data Management (3 s.h.)
• IGPI/BIOS:6310 Introductory Longitudinal Data Analysis (3 s.h.)
• IGPI/BIOS:6610 Statistical Methods in Clinical Trials (3 s.h.)
• IGPI/BIOS:7210 Survival Data Analysis (3 s.h.)
• BIOS:7410 Analysis of Categorical Data (3 s.h.)

Community and Behavioral Health

• CBH:5305 Evaluation Approaches and Applications (3 s.h.)
• CBH:5310 Qualitative Research for Public Health (3 s.h.)
• CBH:6205 Designing and Implementing Interventions (3 s.h.)

Epidemiology

• EPID:4400 Epidemiology I: Principles (3 s.h.)
• EPID:4450 Public Health Data (3 s.h.)
• IGPI/EPID:5220 Principles of Public Health Informatics (3 s.h.)
• EPID:5500 Introduction to Clinical Epidemiology (3 s.h.)
• EPID:5610 Intermediate Epi Data Analysis SAS & R (3 s.h.)
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MS - Health Informatics Concentration

What is Health Informatics?

Health informatics is the intersection of health care, information technology, and data science. It involves the collection, management, and use of information to improve patient care, health care outcomes, and the overall efficiency and effectiveness of the health care system and health interventions.

Terika McCall, PhD, MPH, MBA, Assistant Professor in the Biostatistics Department (Health Informatics Division) at the Yale School of Public Health, discusses what brought her into health informatics, as well as the real-world impact of her work and the field.

About the Program

The science of health informatics drives innovation-defining future approaches to information and knowledge management in biomedical research, clinical care, and public health. Health informatics (HI) comprises applied research and the practice of informatics across clinical and public health domains. Informatics researchers develop, introduce, and evaluate new biomedically motivated methods in areas as diverse as data mining, natural language or text processing, cognitive science, human-computer interaction, decision support, databases and algorithms for analyzing large amounts of data generated in public health, clinical research and genomics/proteomics.

The MS degree will provide well-rounded training in Health Informatics, with a balance of core courses from such areas as information sciences, clinical informatics, clinical research informatics, consumer health and population health informatics, data science and more broadly health policy, social and behavioral science, biostatistics and epidemiology. The length of study for the MS in HI is two academic years. First-year courses survey the field; the typical second-year courses are more technical and put greater emphasis on mastering the skills in health informatics. The degree also requires a capstone project in the second year.

Applicants should typically have an undergraduate degree with a focus in health, computer science or mathematics/statistics. Students with a master’s degree or other related degrees may be allowed to enroll in additional elective courses in lieu of required courses, if they can demonstrate prior proficiency in required courses.

The length of study for the MS in Health Informatics is two years. Part-time enrollment is not an option.

This program does not require General GRE scores.

For more information and to apply to the MS program, visit the Yale Graduate School of Arts and Sciences website. Please choose "Public Health" as the program. Then select Health Informatics as the concentration. Do not try to use SOPHAS.

I love the mentality and supportive atmosphere at YSPH. The confidence and the passion from faculty members and students were inspiring and made me want to join this big Y family.

Degree Requirements - MS in Health Informatics

2023-24 matriculation.

All courses count as 1 credit unless otherwise noted.

MS Required Courses (10 course units)

• BIS 633 Population and Public Health Informatics
• BIS 634 Computational Methods for Informatics
• BIS 560/ CBB 740 Introduction to Health Informatics
• BIS 550/CBB 750 Topics in Biomedical Informatics and Data Science
• EPH 508 (fall) Foundations of Epidemiology and Public Health or EPH 509 (spring) Fundamentals of Epidemiology
• EPH 608 Frontiers of Public Health*
• BIS 638 Clinical Database Management Systems and Ontologies
• BIS 562 Clinical Decision Support or BIS 640 User-Centered Design of Digital Health
• BIS 685 and BIS 686 Capstone in Health Informatics- 2 units

Informatics, Statistics and Data Science Electives: Minimum of 4 of the following REQUIRED

• BIS 540 Fundamentals of Clinical Trials
• BIS 557 Computational Statistics
• BIS 567 Bayesian Statistics
• BIS 568 Applied Machine Learning in Healthcare
• BIS 620 Data Science Software Systems
• BIS 621 Regression Models
• BIS 628 Longitudinal and Multilevel Data Analysis
• BIS 630 Applied Survival Analysis
• BIS 691 Theory of Generalized Linear Models
• CB&B 555 Unsupervised Learning for Big Data
• CB&B 567 Topics in Deep Learning: Methods and Biomedical Applications
• CB&B 645 Statistical Methods in Computational Biology
• CB&B 663/CPSC 552/AMTH552 Deep Learning Theory and Applications
• CB&B 745 Advanced Topics in Machine Learning
• CDE/EHS 566 Causal Inference Methods in Public Health Research
• CPSC 546 Data and Information Visualization
• CPSC 564 Algorithms and their Societal Implications
• CPSC 577 Natural Language Processing
• CPSC 582 Current Topics in Applied Machine Learning
• EMD 533 Implementation Science
• EMD 553 Transmission Dynamic Models for Understanding Infectious Disease
• EPH 510 Health Policy and Health Care Systems
• HPM 560 Health Economics and U.S. Health Policy
• HPM 570 Cost-Effectiveness Analysis and Decision-Making
• IMED 625 Principles of Clinical Research
• MGT 525 Competitive Strategy
• MGT 534 Personal Leadership: Leading the Self Before Others
• MGT 656 Managing Software Development
• SBS 512/ MGT 612/ GLBL 6590/ ENV 632 Social Entrepreneurship Lab
• S&DS 517 Applied Machine Learning and Causal Inference
• S&DS 530 Data Exploration and Analysis
• S&DS 562 Computational Tools for Data Science
• S&DS 565 Introductory Machine Learning
• S&DS 583 Time Series with R/Python
• S&DS 584 Applied Graphical Models
• S&DS 610 Statistical Inference
• S&DS 663 Computational Methods for Data Science
• S&DS 664 Information Theory
• S&DS 670 Theory of Deep Learning

*Students entering the program with an MPH or relevant graduate degree may be exempt from this requirement.

rev. 06.26.23

Learn more about the Department of Biostatistics

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Looking at health data from all the angles

At a glance.

Start dates

Identifying problems and crafting solutions using biomedical data—while never forgetting patients’ needs—is what we’re all about. The Master of Science in Health Informatics degree integrates health care, health information technology, informatics, and many other fields. Our students learn to analyze and protect patient data, and to improve the quality of medical care and make it more efficient.

About the Health Informatics master's degree

Learning outcomes.

Upon completion of the Master of Health Informatics, students attain the following competencies expected of practitioners in the discipline:

Fundamental professional and interdisciplinary skills:

• Analyze problems: Analyze, understand, abstract, and model a specific biomedical problem in terms of their data, information, and knowledge components.
• Produce solutions: Use the analysis to identify and understand the space of possible solutions and generate designs that capture essential aspects of solutions and their components.
• Implement, evaluate, and refine: Carry out the solution (including obtaining necessary resources and managing projects), evaluate it, and iteratively improve it.
• Innovate: Create new theories, typologies, frameworks, representations, methods, and processes to address biomedical informatics problems.
• Work collaboratively: Team effectively with partners within and across disciplines.

Health and health care systems skills:

• Understand the fundamentals of the field in the context of the effective use of biomedical data, information, and knowledge.
• For substantive problems related to scientific inquiry, problem solving, and decision making, apply, analyze, evaluate, and create solutions based on biomedical informatics approaches.
• Apply, analyze, evaluate, and relate biomedical information, concepts, and models spanning molecules to individuals to populations.
• Analyze and evaluate complex biomedical informatics problems in terms of data, information, and knowledge.

Technological skills:

• Apply, analyze, and create data structures, algorithms, programming, mathematics, statistics.
• Apply, analyze, and create technological approaches in the context of biomedical problems.
• Apply and evaluate methods of inquiry and criteria for selecting and using algorithms, techniques, and methods to solve substantive health informatics problems.

Human and social context:

Health Informatics recognizes that people are the end users of biomedical information, draws on the social and behavioral sciences to inform the design, development, and evaluation of technical solutions, policies, and economic, ethical, social, educational, and organizational systems.

The above learning outcomes are guided by this article:

Kulikowski, C. A., Shortliffe, E. H., Currie, L. M., Elkin, P. L., Hunter, L. E., Johnson, T. R., … & Smith, J. W. (2012). AMIA Board white paper: definition of biomedical informatics and specification of core competencies for graduate education in the discipline.  Journal of the American Medical Informatics Association ,  19 (6), 931-938.

CAHIIM-accredited and AMIA-approved

Our Master of Science in Health Informatics is accredited by the Commission on Accreditation for Health Informatics and Information Management Education (CAHIIM) and approved by the American Medical Informatics Association (AMIA)

The Health Informatics accreditor of Indiana University is the Commission on Accreditation for Health Informatics and Information Management Education (CAHIIM). The College’s accreditation for Master’s degree in Health Informatics has been reaffirmed through 2030. All inquiries about the program’s accreditation status should be directed by mail to CAHIIM, 200 East Randolph Street, Suite 5100, Chicago, IL, 60601; by phone at (312) 235-3255; or by email at [email protected] .

Degree requirements

Our 36-credit-hour program equips students to examine how patients use their health care information, and to the build the tools that make it easier to manage unstructured data and extract useful information. By learning how to appropriately utilize natural language processing and other tools, our graduates can improve clinical decision support, electronic health records management, and patient privacy.

You’ll complete your health informatics master’s degree with either a thesis or a project, which provides a practical solution to a health information problem.

View the degree requirements

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Far-reaching health informatics careers

You’ll find our graduates creating technologies used on the front lines of medicine, shaping electronic health record and clinical information systems, ensuring privacy and the security of health information, and helping clinical teams use digital devices and new technologies to serve more patients.

Our graduates are employed as:

• Access program manager
• Clinical informatics associate
• Clinical quality analyst
• Clinical research
• Data engineer
• Health data analyst
• Medical informaticist
• Public health informatics analyst
• Quality management

Our graduates work in:

• Insurance companies
• Government agencies
• Health IT software companies

$72,000 Median starting salary

98% Employed / Continuing Education

86.8% Retention rate

73.7% Graduation rate

Related degrees

Clinical informatics certificate.

Designed for physicians, nurses, and other clinical health care professionals seeking leadership roles in health information systems.

Dental Informatics Certificate

Dental Informatics professionals oversee information systems utilized in dental practices and develop technology to improve dental care.

Health Information Security Certificate

Provides knowledge in policy, risk assessment, and business continuity for health care and public health organizations.

Public Health Professional Certificate

This program is designed to meet the core competencies for public health informaticians as described by the Centers for Disease Control and Prevention.

Health Information Management Post-Baccalaureate Certificate

This certificate prepares you to work as a health information management professional.

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Health Informatics

Liaison librarian services, related libguides.

• Search Tips
• Research 101 This link opens in a new window
• Journals and Full Text Articles
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• Capstone Data Sources
• How to Cite This link opens in a new window
• Health Statistics This link opens in a new window

Welcome to the Health Informatics   research guide. The suggested resources in this guide are to help you complete your class assignments, as well as to provide additional information for course topics where you may be struggling or need further study. To access all library resources, go to the Creighton Libraries  website . 

Please feel free to contact me by phone, email, or instant message with any questions or if you need additional information. My contact information and office hours are linked in the sidebar on this page and throughout the guide. 

Your liaison librarian is a librarian dedicated to knowing your program, your research needs, and your curriculum to better support you.

Some of the services available to students include:

• Helping you pick and refine a research topic
• Consulting and providing feedback on your literature search strategy
• Identifying the best databases for your research project
• Identifying important journals in your research area
• Helping you access eBooks and online journals
• Helping you find and reuse publicly available health statistics
• Teaching you to manage your research data
• Helping you choose journals to publish in and avoid predatory publishers
• Helping you navigate the publishing process including understanding copyright and open access
• Consulting on any part of the research process
• A Guide to Artificial Intelligence by Kathy Craig, MS Last Updated Feb 29, 2024 467 views this year
• ChatGPT and A.I. by Rose Melonis, MLIS Last Updated Feb 29, 2024 121 views this year
• Computer Science Subject Guide by Rachel Menzel, MLIS Last Updated Apr 1, 2024 56 views this year
• Research Data Management by Rose Fredrick, MLS Last Updated Mar 20, 2024 212 views this year
• Health Statistics by Karina Kletscher, MLIS, AHIP Last Updated Apr 1, 2024 86 views this year
• Health Policy & Ethics by Judith Bergjord, MLS Last Updated Jan 30, 2024 52 views this year
• Next: Conducting Research >>
• Last Updated: May 14, 2024 11:44 AM
• URL: https://culibraries.creighton.edu/health-informatics

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Admission Steps

Health informatics - health data utilization and analysis - ms, admission requirements.

Terms and Deadlines

Degree and GPA Requirements

Additional Standards for Non-Native English Speakers

Additional standards for international applicants.

For the 2024-2025 academic year

Fall 2024 quarter (beginning in September)

Final submission deadline: July 26, 2024

International submission deadline: May 6, 2024

Winter 2025 quarter (beginning in January)

Final submission deadline: November 22, 2024

International submission deadline: September 9, 2024

Spring 2025 quarter (beginning in March)

Final submission deadline: February 14, 2025

International submission deadline: December 9, 2024

Summer 2025 quarter (beginning in June)

Final submission deadline: May 2, 2025

International submission deadline: February 24, 2025

Final submission deadline: Applicants cannot submit applications after the final submission deadline.

Degrees and GPA Requirements

Bachelors degree: All graduate applicants must hold an earned baccalaureate from a regionally accredited college or university or the recognized equivalent from an international institution.

Grade point average: The minimum undergraduate GPA for admission consideration for graduate study at the University of Denver is a cumulative 2.5 on a 4.0 scale or a 2.5 on a 4.0 scale for the last 60 semester credits or 90 quarter credits (approximately two years of work) for the baccalaureate degree. An earned master’s degree or higher from a regionally accredited institution supersedes the minimum standards for the baccalaureate. For applicants with graduate coursework but who have not earned a master’s degree or higher, the GPA from the graduate work may be used to meet the requirement. The minimum GPA is a cumulative 3.0 on a 4.0 scale for all graduate coursework undertaken.

Program GPA requirement: The minimum undergraduate GPA for admission consideration for this program is a cumulative 2.5 on a 4.0 scale

Official scores from the Test of English as a Foreign Language (TOEFL), International English Language Testing System (IELTS), C1 Advanced or Duolingo English Test are required of all graduate applicants, regardless of citizenship status, whose native language is not English or who have been educated in countries where English is not the native language. Your TOEFL/IELTS/C1 Advanced/Duolingo English Test scores are valid for two years from the test date.

The minimum TOEFL/IELTS/C1 Advanced/Duolingo English Test score requirements for this degree program are:

Minimum TOEFL Score (Internet-based test): 80 with minimum of 20 on each subscore

Minimum IELTS Score: 605 with minimum of 6.0 on each band score

Minimum C1 Advanced Score: 176

Minimum Duolingo English Test Score: 115 with a subscore minimum of 105 for Literacy, Comprehension, and Conversation and minimum subscore of 95 for Production

English Conditional Acceptance Offered: No, this program does not offer English Conditional Admission.

Read the English Language Proficiency policy for more details.

Read the Required Tests for GTA Eligibility policy for more details.

Per Student & Exchange Visitor Program (SEVP) regulation, international applicants must meet all standards for admission before an I-20 or DS-2019 is issued, [per U.S. Federal Register: 8 CFR § 214.3(k)] or is academically eligible for admission and is admitted [per 22 C.F.R. §62]. Read the Additional Standards For International Applicants policy for more details.

Application Materials

Transcripts, letters of recommendation.

Required Essays and Statements

We require a scanned copy of your transcripts from every college or university you have attended. Scanned copies must be clearly legible and sized to print on standard 8½-by-11-inch paper. Transcripts that do not show degrees awarded must also be accompanied by a scanned copy of the diploma or degree certificate. If your academic transcripts were issued in a language other than English, both the original documents and certified English translations are required.

Transcripts and proof of degree documents for postsecondary degrees earned from institutions outside of the United States will be released to a third-party international credential evaluator to assess U.S. education system equivalencies. Beginning July 2023, a non-refundable fee for this service will be required before the application is processed.

Upon admission to the University of Denver, official transcripts will be required from each institution attended.

Recommendations are optional and not required as part of admission materials. The admission committee reserves the right to request recommendations when reviewing an admission application.

Essays and Statements

Personal statement instructions.

At University College, we strive to foster a collaborative and engaging learning environment that emphasizes the practical application of knowledge and supports self-directed, motivated learners. Our programs are designed to build upon the unique background and experiences of adult learners.   A personal statement (two pages double-spaced, 450-500 words) is required and should be submitted via the application status page. In your personal statement please answer the following questions: 1. How does your chosen program/concentration align with your personal and professional goals? 2. In what ways will your work experiences, professional background, previous education, or other lived experiences enable you to contribute to an engaging learning environment?

Résumé Instructions

The résumé (or C.V.) should include work experience, research, and/or volunteer work.

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Financial Aid Information

Start your application.

Your submitted materials will be reviewed once all materials and application fees have been received.

Our program can only consider your application for admission if our Office of Graduate Education has received all your online materials and supplemental materials by our application deadline.

Application Fee: $75.00 Application Fee

International Degree Evaluation Fee: $50.00 Evaluation Fee for degrees (bachelor's or higher) earned from institutions outside the United States.

Applicants should complete their Free Application for Federal Student Aid (FAFSA) by February 15. Visit the Office of Financial Aid for additional information.

Health Informatics and Information Management, BS

Program at a glance.

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Focus on the Business of Healthcare Through Securing Medical Information

The BS in Health Informatics and Information Management (HIIM) prepares you to care for patients by ensuring that medical data is high quality and kept secure. The field provides a link between clinicians, administrators, technology designers, operations, and information technology professionals. You’ll present health information in a meaningful manner and are experts in managing, interpreting, analyzing, auditing, coding and converting health data into statistical information that everyone can use. The work you do will help improve patient outcomes.

Throughout your courses, learn about business management, systems analysis, medical coding, and computer applications in healthcare. In addition to medical coding skills, gain an understanding of how to use data analytics to interpret a variety of healthcare scenarios that may be encountered in the workplace. You’ll also have opportunities to interact with industry professionals through workshops and conferences. Plus, the program’s required internship provides you with hands-on experience.

Earn your health informatics and information management degree online or on campus, providing you with the convenience and flexibility to learn when and where it works best for you. Health informatics and information management graduates find employment in a variety of settings, including healthcare organizations, consulting firms, government agencies, insurance companies, information technology vendors and pharmaceutical companies. Graduates also find positions in public health departments and other governmental agencies after testing out the industry through our internship program. Others pursue careers in the private industry in marketing, health insurance, and selling health devices and pharmaceuticals. With healthcare changing, new doors are opening as new technologies emerge. And as a HIIM graduate, you’ll be ready to tackle the challenges.

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Course Overview

Fundamentals of health information technology.

The origin, evolution and application of health information technology in today's healthcare industry.

Health Data Management

Health care statistics, data analytics and data usage specific to health informatics and information management will be explored in depth.

Medical Terminology

A study of the language of medicine and allied health specialties, including word construction, definitions, and application of terms.

HIIM Skills You'll Learn

• Gain the knowledge necessary to gain specialized certifications that improve your resume and career opportunities.
• Learn highly sought-after skills such as medical coding, patient record database systems, and healthcare finance computer applications
• Achieve a flexible career path that may take you into hospitals, clinics, physicians’ offices, research and pharmaceutical organizations, insurance companies, public health organizations, and other settings where health information is gathered and used.

Career Opportunities

• Medical Records Manager
• Privacy Officer
• Risk Manager
• Medical Coding Manager
• Corporate Compliance Officer
• Data Analysis and Reporting Manager

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University of Central Florida Colleges

The BS in Health Informatics and Information Management (HIIM) prepares you to care for patients by ensuring that medical data is high quality and kept secure. The field provides a link between clinicians, administrators, technology designers, operations, and information technology professionals. You’ll present health information in a meaningful manner and become experts in managing, interpreting, analyzing, auditing, coding and converting health data into statistical information that everyone can use.

Health Informatics and Information Management (B.S.) may be completed fully online , although not all elective options or program prerequisites may be offered online. Newly admitted students choosing to complete this program exclusively via UCF online classes may enroll with a reduction in campus-based fees.

Degree Requirements

• Students should declare their major as HIIM Pending until admission to the program is granted.
• Students who are pending Health Informatics and Information Management and are admitted to the program must adopt the most current catalog
• Students should complete the General Education Program, Foreign Language Admissions and the Common Program Prerequisites Requirements before transferring within the Florida College System or State University System.
• Students should consult with a departmental advisor
• The courses designated in sections 1 and 2 below may be taken at a Florida College System institution, and should be completed in the first 60 hours
• A minimum overall GPA of 2.5 and a minimum grade of "C" (2.0) in prerequisite and major courses is required for admission to, continuation in, and graduation from the Health Informatics and Information Management Program
• UCF Residency Requirement: 30 hours

Online Health Informatics and Information Management, BS

Core Requirements: Advanced Level

• HSA3423 - Health Law (3)
• HSA3170 - Health Care Finance (3)
• HSA4109 - Principles of Healthcare Reimbursement, Insurance, and Managed Care Plans (3)
• HSA4191 - Fundamentals of Health Information Technology (3)
• HSC3537 - Medical Terminology (3)
• HIM4624 - Health Data Management (3)
• HIM3006 - Foundations of Health Information Management (HIM) (3)
• HIM3806C - Professional Practice Experience I (3)
• HIM4816C - Professional Practice Experience II (3)
• HIM4226C - ICD Diagnosis Coding (5)
• HIM4256C - Outpatient Procedural Coding and Reimbursement (3)
• HIM4676 - Professional Development and Issues in Health Information Management (3)
• HIM4726 - ICD Procedure Coding (3)
• HIM4838 - Management Affiliation (3)
• HIM4998 - Internship Orientation
• HIM3116 - Health Record Organization & Management (3)
• HIM4344C - Health Information Department Management (4)
• HIM4508C - Quality Management (3)
• HIM4656C - Health Information Management Systems (3)
• HSA4180 - Organization & Management for Health Agencies I (3)
• MAN3025 - Management of Organizations (3)

Grand Total Credits: 60

Additional Requirements

As a requirement for the Bachelor of Science in Health Informatics and Information Management major, students must complete an internship within the HIM realm of an actual health care organization. The internship program takes 2 semesters to complete: one orientation semester and one internship semester. In order to participate in the HIIM Internship the student must have completed or earned credit for HIM 3806- Professional Practice Experience I, HIM 4816- Professional Practice Experience II and HIM 4998- Internship Orientation. Additionally, many health care organizations will require that students complete a background check, which may include, but not be limited to, law enforcement finger printing, state driving records, credit reports, and criminal records check. The cost of the background check is the student's responsibility. Background checks may take time to complete and, subsequently, could delay the student's internship placement. Students who have potential background issues must contact the Director of Internships to schedule an interview in order to discuss the impact on field placement. The Health Informatics and Information Management program cannot guarantee internship placement or subsequent degree completion for students who do not pass background checks. A fee may be required as part of the placement application process for the internship program. Students will receive all the information they need, as well as access to internships they may apply for during HIM 4998 –Internship Orientation.

Upon completion of general education, common program pre-req’s, required core, BS required courses (or BA required foreign language), students may still need electives to reach the minimum overall credit hour requirement to be eligible for graduation. Students needing additional electives are encouraged to enroll in general electives as needed. Courses or additional minor/certificate should be selected with the assistance of an advisor.

Required Minors

Departmental Exit Requirements

A minimum 2.5 overall GPA is required for graduation. Upon completion of the approved program, the student is eligible to submit an application for writing the national registration examination administered by the American Health Information Management Association to qualify as a Registered Health Information Administrator.

University Minimum Exit Requirements

• A 2.0 UCF GPA
• 42 semester hours of upper division credit completed
• 60 semester hours earned after CLEP awarded
• 30 of the last 39 hours of course work must be completed in residency at UCF.
• A maximum of 45 hours of extension, correspondence, CLEP, Credit by Exam, and Armed Forces credits permitted.
• Complete the General Education Program, the Gordon Rule, and nine hours of Summer credit.

Additional Information

Honors In Major

Related Programs

Certificates

Healthcare Quality and Revenue Management

Business Minor Computer Science Minor

Advising Notes

Transfer Notes

Human Anatomy& Physiology I& II (BSC X085 and X086) Financial Accounting (ACG 2021) Managerial Accounting (ACG 2071) Statistics (STA 2014C or STA 2023) Computer Science for Business (CGS 2100C or CGS 1060)

Acceptable Substitutes for Transfer Courses

Program Academic Learning Compacts

Program Academic Learning Compacts (student learning outcomes) for undergraduate programs are located at: http://www.oeas.ucf.edu/alc/academic_learning_compacts.htm

Plan of Study

Freshman Year - Fall (15 Credit Hours) MAC 1105C College Algebra ENC 1101 Composition I CHM 1032 General Chemistry HSA 2117 Civic Engagement in the US Healthcare System

Freshman Year - Spring (16 Credit Hours) ENC 1102 Composition II STA 2014C Principles of Statistics BSC 2010C Biology I GEP Historical Credit Hours: 3 GEP Social Credit Hours: 3

Freshman Year - Summer (3 Credit Hours)

General Elective Credit Hours: 3

Sophomore Year - Fall (13 Credit Hours) ZOO 3733C Human Anatomy CGS 2100C Computer Fundamentals for Business ACG 2021 Principles of Financial Accounting GEP Historical Credit Hours: 3

Sophomore Year - Spring (13 Credit Hours) ACG 2071 Principles of Managerial Accounting PCB 3703C Human Physiology GEP Communication Credit Hours: 3 GEP Cultural Credit Hours: 3

Junior Year - Fall (15 Credit Hours) HSA 4109 Principles of Healthcare Reimbursement, Insurance, and Managed Care Plans HSA 4191 Fundamentals of Health Information Technology

Select One: (3 Credit Hours) MAN 3025 Management of Organizations HSA 4180 Organization & Management for Health Agencies I

These courses may be taken at any time during the two years. Certain HIM courses are offered only during the semester in which they appear on this schedule and are restricted to majors only.

Junior Year-Spring (14 Credit Hours) HIM 4226C ICD Diagnosis Coding HIM 3116C Health Record Organization and Management HIM 3806C Professional Practice Experience I HIM 4624 Health Data Management

Junior Year - Summer (6 Credit Hours) HSA 3423 Health Law HIM 4256C Outpatient Procedural Coding and Reimbursement

Senior Year - Fall (13 Credit Hours) HIM 4508C Quality Management HIM 4726 ICD Procedure Coding HIM 4344C Health Information Department Management HIM 4816L - Professional Practice Experience II Credit Hours: 3

• HIM 4998 Internship Orientation

Senior Year - Spring (12 Credit Hours) HSA 3170 Health Care Finance HIM 4676 Professional Development and Issues in Health Information Management

HIM 4838 Management Affiliation HIM 4656C Health Information Management Systems

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