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Computer Science Ph.D.

Campus or APOGEE (distance education) options

• Major:  Computer Science 
• Degree:  Doctor of Philosophy
• School/College:  Engineering and Computing

Program Website

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Summer and Fall Preferred Application Deadline:  February 1 Spring Preferred Application Deadline:  October 1

Required Documents

• Official Transcripts
• Official GRE Score
• 2 Letters of Recommendation
• Curriculum Vitae or Resume
• Personal Statement

Applications Accepted for These Semesters...

• Spring Semester
• Summer Semester
• Fall Semester

Challenge the conventional. Create the exceptional. No Limits.

UTS School of Computing and Creative Media

PhD in Computing

[N/481/8/0789] [MQA/PA 12390]

Program Overview

A Doctor of Philosophy (PhD) in Computing is the highest level of academic qualifications one can achieve. This qualification sets you apart as having developed an exhaustive understanding of your selected focus area in the discipline of computing,   placing you at the cutting-edge of your chosen field of research.

Our PhD program provides you with opportunities to undertake extensive investigation within your chosen computing field and you are expected to develop new ideas, findings or employ well thought-out methodologies to produce noteworthy theoretical and practical contributions. You will utilise the best-suited research methodologies to explore and/or test informed ideas.

The outcome of your research should extend and advance the frontiers of knowledge and you will disseminate the scholarly findings to peers and  practitioners, through academic and professional networks, conferences, seminars, exhibitions, and even publications.

UTS has a dedicated team of academicians and fellow researchers to assist and mentor you along your research journey, as you investigate a topic of your choice.

You may pursue a topic or an issue in which you are currently researching within your work place, in which case your PhD can also be of direct relevance to your current employment. Alternatively, you can choose  to  undertake research in any particular area you are passionate about.

Entry Requirement

• A Master’s Degree or equivalent AND candidates must have completed at least ONE (1) of their earlier Degrees (Master’s of Bachelor’s) in Computing or related to computing; OR
• Candidates registered for Master’s Degree by research programmes with a Bachelor’s Degree level may apply to convert their candidacy to PhD programmes subject to having shown competency and capability in conducting research at PhD level and approval by the University’s Senate; OR
• Other equivalent qualifications recognized by Malaysia Government.

English Language requirements for international applicants:

• Test of English as a Foreign Language (TOEFL) 500; OR
• International English Language Testing System (IELTS) 6.0; OR
• Other equivalent qualifications approved by the University Senate

Additional Requirements

Submit a 1,000-1,500 word prospectus (Research Proposal) explaining the proposed research in the chosen field of study

Programme Structure

The PhD program is purely based on individual supervised research. Candidates will be exposed to Research Methodology Course (3 Credits) to strengthen their research knowledge. At the end of the candidate’s study, a thesis must be submitted and upon successful defence, the candidate will be graduated.

Research Specialisations

The research specializations for Ph.D. in Computing (by Research) are based on the MQA’s program standards. The main research areas are as listed:

• Computer Science
• Information Systems
• Software Engineering
• Information Technology
• Data Science
• Cyber Security
• Full-time: Minimum 3 , Maximum 6 Years
• Part-time: Minimum 4, Maximum 8 Years

Application and admission are open throughout the year

Programme Mode

• Local students: ± RM 23,000.00
• International students: ± RM 27,000.00

Application Process

Programme coordinator.

Associate Professor Dr Tariq Zaman Email: tariqzaman Tel : (+6) 084-367300 ext: 520

*please add  @uts.edu.my  after email name

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Computer Science PhD Program

Doctoral Program

This PhD program provides cutting-edge research experience and expertise in advanced computer science subjects, aiming at educating future leaders in academia and industry.

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Why Pursue a Computer Science PhD

At UTSA, the Department of Computer Science offers comprehensive programs at both undergraduate and graduate levels, with approximately 1,761 undergraduates, 135+ master’s students and 65+ doctoral students. The PhD in Computer Science offers opportunities for students to do advanced research in many fields. The research activities and experimental facilities have been well-supported by various federal research and infrastructure grants.

Research Opportunities

The research in the Department of Computer Science is supported by more than $10M in active research grants and contracts from various external funding agencies. PhD students conduct innovative research in cooperation with and under the supervision of department faculty. Activities of research assistants include implementing prototype systems, developing and proving new theories, conducting experiments, attending international conferences, and publishing their results in scientific journals.

The department’s 21 faculty members conduct research in a variety of areas including algorithms, bioinformatics, computer and information security, computer architecture, computer networks, databases, high performance computing, parallel and distributed systems, programming languages and compilers, and software engineering among others.

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Application Deadlines

Funding opportunities, career options, admission & application requirements.

Applications are submitted through the UTSA Graduate Application . Please upload all required documents (listed below) on your UTSA Graduate Application. It is the applicant’s responsibility to ensure completion and submission of the application, a nonrefundable application fee, and all required supporting documents are on file with UTSA by the appropriate application deadline.

Applicants are encouraged to have their admission file completed as early as possible. All applications, required documents and letters of recommendation, if applicable, must be submitted by 5:00 PM U.S. Central Time on the day of the deadline. Deadlines are subject to change.

All full-time, admitted PhD students are welcomed with an appointment as either a Graduate Teaching Assistant (GTA) or Graduate Research Assistant (GRA). This is comprehensive support that comes with a tuition waiver, stipend, and health insurance. The stipend starts from $24,000 per year, and the total value of the financial support package is more than $42,000 yearly. The Computer Science PhD program is designed so that students who are admitted as GTAs find a doctoral advisor during their first year of study.

UTSA prepares you for future careers that are in demand. The possible careers below is data pulled by a third-party tool called Emsi, which pulls information from sources like the U.S. Bureau of Labor Statistics, U.S. Census Bureau, online job postings, other government databases and more to give you regional and national career outlook related to this academic program.

Earning a Master's Degree

While in a doctoral program, a student may earn a master’s degree provided the following conditions are satisfied:

• A student must be admitted to candidacy.
• A student is eligible to receive a master’s degree upon completion of University-wide requirements and any additional degree requirements specific to the program.
• The Doctoral Studies Committee, Department Chair, and the Graduate Associate Dean of the College must recommend students for the degree.
• The student must apply for graduation by the published deadline the semester prior to awarding the doctoral degree.
• All required coursework in the doctoral program at the time of admission to candidacy must have been taken within the previous six years.
• If the master’s degree requires a thesis, the degree cannot be awarded on the basis of the doctoral qualifying examination.
• Students will not be approved for an additional master’s degree in the same field in which an individual has previously received a master’s degree.

Course Offerings & Schedule

Faculty offices and research labs for Computer Science are located both on the Main Campus and Downtown Campus (San Pedro I building). Graduate courses are held in San Pedro I. Courses are scheduled in late afternoons and evenings, accommodating part-time student schedules very well.

Graduate Advisor of Record

Dakai Zhu, PhD

210-458-7453

Wei Liu Profile page

• Associate Professor School of Computer Science
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Wei Liu is an Associate Professor in Machine Learning, and the Director of the Future Intelligence Research Lab, in the School of Computer Science, at the University of Technology Sydney (UTS). He is a core member of the UTS Data Science Institute. He obtained his PhD degree in Machine Learning research at the University of Sydney (USyd). His current research focuses are adversarial machine learning, cybersecurity, game theory, multimodal machine learning, natural language processing, and intrusion detection. Wei's research papers are constantly published in CORE A*/A and Q1 (i.e., top-prestigious) journals and conferences. He has received 3 Best Paper Awards. In addition, one of his first-authored papers received the Most Influential Paper Award in the CORE A Ranking Conference, PAKDD 2021. Besides, he was a nominee for the Australian NSW Premier's Prizes for Early Career Researcher Award in 2017. He has obtained over $5 million in research funding, including ARC, government competitive grants, and industry research projects. Wei is a senior member of IEEE and a senior PC member and an area chair of world-leading international Data Mining and Artificial Intelligence conferences, such as the KDD (The ACM SIGKDD Conference on Knowledge Discovery and Data Mining), AAAI (The AAAI Conference on Artificial Intelligence), and ICDM (The IEEE International Conference on Data Mining). He has also been a frequent reviewer/referee for top journals such as the TKDE, TPAMI, TNNLS, and TKDD. More information about Wei's research can be found on his homepage at https://wei-research.github.io/.

AVAILABILITY

• Masters Research or PhD student supervision

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• Artificial intelligence
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Doctor of Philosophy in Computer Science

Program description.

The graduate programs in computer science offer intensive preparation in design, programming, theory and applications. Training is provided for both academically oriented students and students with professional goals in the many business, industrial and governmental occupations requiring advanced knowledge of computing theory and technology.

Courses and research opportunities are offered in a variety of subfields of computer science, including operating systems, computer architecture, computer graphics, pattern recognition, automata theory, combinatorics, artificial intelligence, machine learning, database design, computer networks, programming languages, software systems, analysis of algorithms, computational complexity, parallel processing, VLSI, virtual reality, internet of things, embedded and real-time systems, computational geometry, computer vision, design automation, cyber security, information assurance and data science.

The University maintains a large network of computer facilities including specialized computers for research within the program. In addition to computer science faculty, many other individuals at the University are involved in computer-related work in the physical and social sciences and in various areas of business and management. Computer science students with an interest in these important application areas may have opportunities to consult and work with talented faculty from a wide range of disciplines.

Career Opportunities

Graduates of the program seek academic positions at universities, as well as positions as researchers, senior software engineers, data scientists. Graduates often become industry experts in fields like cyber security, artificial intelligence, machine learning or natural language processing.

Marketable Skills

Review the marketable skills for this academic program.

Application Requirements

Test score required:  Yes

Deadlines:  University  deadlines  apply.

OTHER APPLICATION REQUIREMENTS

Admission Option One

• Master’s degree in computer science or its equivalent
• GPA of at least 3.5
• GRE revised scores of at least 308, 153, 155 and 4 for the combined, verbal, quantitative, and analytical writing components, respectively, are advisable.

Admission Option Two

• A BS degree in related area that includes two semesters of calculus and linear algebra
• GPA of at least 3.5 in the last 60 semester credit hours
• GRE revised scores of at least 315, 156, 159 and 4 for the combined, verbal, quantitative, and analytical writing components, respectively, are advisable.

Applicants are admitted on a competitive basis.

Contact Information

Shyam Karrah  Email: [email protected]

Dr. Ovidiu Daescu Interim Head Department of Computer Science Email: [email protected] Office: ECSS 3.904

Erik Jonsson School of Engineering and Computer Science The University of Texas at Dallas, ECW41 800 W. Campbell Road Richardson, TX 75080-3021 [email protected]

engineering.utdallas.edu

cs.utdallas.edu

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Computer Science Doctoral Degree Program

Objective and Description

The purpose of the graduate program in Computer Science is to facilitate the student's continued professional and scholarly development. The Doctor of Philosophy (Ph.D.) program is designed to prepare the student to conduct research and development in an area of concentration.

Degree Overview

The purpose of the graduate program in computer science is to facilitate the student's continued professional and scholarly development. The Doctor of Philosophy (Ph.D.) program is designed to prepare the student to conduct research and development in an area of concentration.

About the Program

A doctorate in computer science builds on prior knowledge, education, and experience in the field. The degree typically takes 4-5 years to complete, and involves independent study and research in a focused area of interest. Doctoral programs include coursework and research that culminate in a final dissertation.

Students may apply for the Ph.D. program after completing their M.S. degree in computer science or proceed directly to Ph.D. program after completing their B.S. degree in computer science. Students without an M.S. will typically spend an extra year learning the basic research skills prior to begin working on their dissertation.

Candidate selection for the doctorate program is a very a competitive process, considering GPA, performance in computer-related classes, TOEFL or IELTS (for non-English speaking candidates), GRE and reputation of the university where you did your undergraduate and graduate studies. Relevant recent work experience is considered in cases where educational credentials are dated or not in the computer science field.

Degree Options

Ph.D. candidates select one of the following 8 graduate tracks provided by the Computer Science and Engineering Department and complete five milestones to achieve their doctorate in Computer Science:

• Data analytics (database systems, data mining, cloud computing, big data, and others)
• Intelligent systems (knowledge representation, knowledge acquisition, machine learning, neural networks, parallel AI and others)
• Networking, telecommunications and mobile computing
• Software engineering (environments, formal verification, testing, and others)
• Multimedia systems (authoring, compression, collaboration and communication)
• Theory and algorithms
• Bioinformatics
• Information and cybersecurity

Five Ph.D. Milestones

After selecting one of the major tracks above, a PhD candidate must complete the following five milestones:

All PhD students’ progress toward the milestones are reviewed and monitored by a committee consisting of at least 4 members (supervisor plus three committee members.)

Admission & Degree Requirements   Inquire Now   Computer Science and Engineering Department

Requirements for Licensure or Certification

All discipline specific programs in the College of Engineering meet educational requirements for professional licensure or certification in all U.S. states, territories, and the District of Columbia.

Ph.D. IN ENGINEERING

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GRADUATE STUDIES

The graduate programs in computer science offer intensive preparation in design, programming, theory and applications. Training is provided for both academically oriented students and students with professional goals in the many businesses, industrial and governmental occupations requiring advanced knowledge of computer theory and technology.

Courses and research are offered in a variety of subfields of computer science, including operating systems, computer architecture, computer graphics, pattern recognition, automata theory, combinatorics, artificial intelligence, machine learning, internet of things, database design, computer networks, programming languages, software systems, analysis of algorithms, computational complexity, parallel processing, VLSI, virtual reality, computational geometry, and design automation.

A comprehensive program of evening courses is offered, providing both part-time and full-time students with a convenient means to either earn a master’s degree or to select individual courses of interest.

The university maintains a large network of  computer facilities , including PCs and specialized computers for research within the program. All major computers on campus are linked by an Ethernet network.

In addition to the  computer science faculty , many other individuals at the university are involved in computer-related work in the physical and social sciences and in various areas of business and management. Computer science students with an interest in these important application areas thus have ample opportunity to consult and work with talented faculty from a wide range of disciplines.

To explore the wide range of research at the Jonsson School, please see our  Research page.

Explore all past doctoral degrees awarded by UT Dallas.

Degrees Offered

• Master of Science in Computer Science
• Doctor of Philosophy in Computer Science

Choosing a Ph.D. in Computer Science?

Check out these  videos by the Computing Research Association .

IMPORTANT GRADUATE STUDENT LINKS

• Contact an Advisor
• Department Flyer
• Ph.D. Flyer
• Tuition and Fees
• Graduation Checklist
• Graduate Fellowships
• Ph.D. Qualifying Exams
• Why enroll in a Ph.D.? 
• Fall 24 New Graduate Student Orientation
• Fall 2023 Transfer / Waiver Presentation
• Ph.D. Orientation Spring’ 23 – Dissertation and beyond: Ph.D. in CS/SE at UTD By Prof. Jorge Cobb
• Ph.D. Graduation and Dissertation Defense

MSCS DEGREE CONCENTRATION AREAS

• Traditional Computer Science
• Networks and Telecommunications
• Intelligent Systems
• Interactive Computing
• Data Science
• Cyber Security

MS IN SE DEGREE

• Software Engineering
• Tutoring/Testing
• Graduate Level Courses
• The Computing Scholars Honors Program
• Graduate Advising
• CS Graduate Certificates
• Graduate FAQs
• Why Enroll in a PHD?
• Graduate Attendance Policy
• PHD Qualifying Exams
• PHD Graduation and Dissertation Defense

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C03025v7 Master of Science (Research) in Computing Sciences

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PhD Program

The PhD is a research degree. Our PhD students also take courses, which give them the foundation on which to build their research programs. However, the overriding goal of the PhD program is to show students how to conduct outstanding research. We expect all our PhD students to become involved in research within their first semester (see Research Immersion below) and continue their involvement throughout their time at UT. To understand how our PhD students are involved in our research activities, browse our research web pages .

As a consequence of early immersion in research, our PhD students are often already recognized in the wider research community well before they graduate. They regularly travel to conferences, present papers, and often receive best paper awards.

Interested in applying? Visit our Prospective Students page for information about applying to our program.

Most PhD students receive financial support from the department. Please see the financial information page for more information about this.

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PhD in Computer Science

The official policies for this program may be found in the CS Graduate Student Handbook Supplement . If there is any conflict between this webpage and the official policies, then the official policies have precedence.

Computer Science faculty actively seek interdisciplinary collaborations within Tufts School of Engineering and across the university. Funded research includes projects with civil, chemical, electrical, and biomedical engineering departments, Tufts School of Medicine,  Tufts Graduate School of Biomedical Sciences, the Tufts Medical Center, and the departments of biology, chemistry, astrophysics, classics, child development, and psychology in Tufts School of Arts and Sciences.

Doctoral candidates are expected to plan a program of research under the direction of their dissertation supervisor and with the guidance of a faculty committee. Upon completion of this research, the candidate must prepare and publicly defend their dissertation.

Doctoral degrees require the fulfillment of the specific department requirements including the number of courses with grades of S (satisfactory) or at least a B-, as well as successful completion of the qualifying examination and doctoral dissertation.

• Course requirement: Students should take 20 courses, comprising 60 credits, for the PhD degree. At least two courses must be regular 100-200 level courses.
• Community/residence requirement: Fulfilled by attending at least 50% of the weekly departmental seminars in each of four semesters. This is the minimal requirement.
• Teaching requirement: Every doctoral student is expected to assist in the teaching of a course for at least one semester.
• Obtaining core competence
• Completing a preliminary research project
• Giving an oral presentation on the project
• Passing a written qualifying exam
• Passing an oral qualifying exam
• Prospectus requirement: After successfully completing the qualifying examination, the student should submit a thesis prospectus.
• Dissertation requirement: The student will perform research under the direction of the advisor, write a dissertation about that work, have the dissertation read by a committee, and defend the work in an oral presentation.
• Defense requirement: The defense includes a 45-minute talk open to the public where the student presents their research.

PhD Requirements

A typical student should be able to satisfy the first three requirements while obtaining the MS degree. In most cases, the candidate will have satisfied course requirements through course work in their BS or MS degree, before beginning the PhD program In any case, the student should meet with the members of the examination committee well before the examinations to make sure that preparation for these requirements has been adequate.

• The PhD Dissertation and Defense: This requirement can be reviewed in the Graduate Handbook.
• This is the minimal requirement – it is hoped that most students will attend a larger percentage of seminars for a longer period of time.
• This requirement may be satisfied at any semester and concurrently with the other requirements.
• Giving an oral presentation on this project
• Computer Architecture and Assembly Language
• Programming Languages (specifically, functional programming and object-oriented programming with inheritance)
• Data Structures and Algorithms
• Theory of Computation

For detailed information on PhD requirements, consult the  Tufts Graduate Student Handbook  and the  Computer Science supplement to the handbook .

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Doctor of Philosophy

• Overview Subjects, careers and fees
• Course experience See what it's like to study at UTS
• How to apply Requirements and selection criteria

Research degrees are offered on a sponsored or full-fee-paying basis. Contact the UTS Graduate Research School for further details.

The PhD is a University-wide degree which involves an intense period of supervised study and research, culminating in the submission of a thesis. The degree is awarded to candidates who, through original investigation, make a distinct and significant contribution to knowledge in their field of specialisation.

This course prepares graduates for a leadership role in the widely diverse range of industries and organisations that rely on research or research skills to solve real-world problems, including but not limited to academia, business, government, cultural and community organisations.

Course fees

For relevant fee information, please choose from the following:

Local student

Research training program.

The majority of domestic students who are offered entry to a graduate research degree will have the cost of their tuition fees covered by the Australian Government’s Research Training Program (RTP) Fees Offset Scholarship . If you are granted an RTP Fee Offset Scholarship you are not required to pay tuition fees for up to the maximum period of time allowable to complete your study.

Recipients of an RTP Fee Offset Scholarship should however still expect to pay the ongoing costs of being part of an academic environment and conducting research. In addition to ongoing costs, you may also be required to pay a Student Services and Amenities Fee (SSAF).

Scholarships

In addition, research scholarships  up to the value of $40,000 are available to support living expenses for domestic students to study master's by research and doctoral programs at UTS.

Tuition fee calculations

Tuition fees and RTP Fee Offset Scholarship amounts are incurred pro-rata based on the number of days a student is enrolled in each research degree session and whether the student is enrolled after the research census date .

UTS Alumni save 10% : alumni.uts.edu.au/advantage

International student

Tuition fees for international students vary between courses and range from A$19,840 to A$34,080 per year. Tuition fees for postgraduate research degrees are charged pro-rata based on the number of days a student is enrolled in each research degree session and whether the student is enrolled after the research census date.

Tuition fees for international postgraduate research students can be found using fees search .

Tuition fees must be paid in advance each session and are subject to annual increase. Fees for future year(s) published in fees search, whilst unlikely to change, are estimates only. UTS makes every effort to provide up to date future year(s) fee estimates and to limit any changes, however, UTS reserves the right to vary fees for future year(s) at any time.

All international students should familiarise themselves with the following documents:

• Protocol on refund of fees for international students  - contains the refund of fees information for international students.
• Tuition Protection Service  - designed to ensure that students receive the tuition they have paid for

In addition to tuition fees, students may be required to pay a Student Services and Amenities Fee (SSAF). Textbooks and other course materials will also result in additional costs.

For further information on costs related to your study at UTS, visit the international students' tuition fees information page .

This research degree is especially valuable for students to gain deeper understanding of a subject area and develop analytical, problem solving, communication and project management skills. These are highly valued and enable graduates to pursue an academic career or careers in industry, research, government non-government organisations.

Course structure

Course structure explained.

There are three specific stages to the doctoral program. In the first stage, candidates must complete a formal assessment to confirm their candidature. In the second stage, a progress confirmation assessment to ensure their progress is consistent with completion of the research program within the prescribed time and demonstrates potential to complete the work to standard. Candidates are required to complete a third stage in order to confirm readiness to submit their thesis for examination.

Within this framework of stages, doctoral students design their own Graduate Research Study Plan in discussion with their supervisory panel. This draws from the UTS HDR Capability Framework that shapes what it means to be a research student at UTS. A Review of Progress is conducted each year, in a process that is separate from the Stage Assessments.

Students may be required to undertake some coursework, for example in research methods or in theoretical knowledge in the field of specialisation. Students have the opportunity to complete an industry-based HDR internship experience, with government, business or community.

Course completion requirements

Additional information, course duration.

The maximum course duration is four years of full-time or eight years of part-time study. Students can complete the course in less than the maximum time. Some courses have a strong preference for research undertaken at a full time pace.

The work may be carried out either on university premises or at a site external to the university, or some combination of both. Candidates are recommended to make contact with their supervisor(s) at least once a month to discuss the progress of their research. In some fields of specialisation, students may be expected to complete campus-based or other research activities on a prescribed basis.

Admission requirements

Applicants must have completed a UTS recognised master's by research or bachelor honours degree with first class or second class / division 1 honours, or an equivalent or higher qualification, or submitted other evidence of general and professional qualifications that demonstrates potential to pursue graduate research studies.

Selection criteria also include: research potential, research experience, quality of the research proposal, alignment with the UTS Research Strategy and the strategic goals of the field of specialisation, and the Faculty's ability to offer appropriate supervision in the applicant's chosen field.

The English proficiency requirement for international students or local applicants with international qualifications is: Academic IELTS: 6.5 overall with a writing score of 6.0; or TOEFL: paper based: 550-583 overall with TWE of 4.5, internet based: 79-93 overall with a writing score of 21; or AE5: Pass; or PTE: 58-64 with a writing score of 50; or C1A/C2P: 176-184 with a writing score of 169.

Eligibility for admission does not guarantee offer of a place.

Visa requirement: To obtain a student visa to study in Australia, international students must enrol full time and on campus. Australian student visa regulations also require international students studying on student visas to complete the course within the standard full-time duration. Students can extend their courses only in exceptional circumstances.

Scholarships and prizes

For general and design, architecture and building - 2 students.

• International Research Training Program Scholarship (IRTP)
• Scape Accommodation Scholarship
• The Curtis Foundation Humanitarian Scholarship
• Thrive: Next Generation Graduates - PhD – Social Science and Policy
• UTS Diploma to Degree Pathway Scholarship
• UTS Housing Resident Networker Scholarship
• UTS Jumbunna Honours Scholarship
• UTS Undergraduate Tuition Fee Scholarship
• UTS-Vietnam Government Project 89 PhD Scholarship

Only for international students

• CSC UTS PhD scholarship
• International Research Scholarship
• UTS President's Scholarship
• UTS VIED scholarship

For all domestic students

• Australian Government Research Training Program Stipend
• Equal Access Scholarship (Institution Equity Scholarship)
• Ross Milbourne Research Scholarship in Economics

Only for Aboriginal Australian or Torres Strait Islander students

• Jumbunna Accommodation Scholarship
• Jumbunna Postgraduate Research Scholarship

Prizes and awards

• CommBank & Telstra UTS Best Venture Prize
• Guy Morrison Prize for Excellence
• Industrial Relations Society of NSW Prize for Excellence in Industrial Relations Undergraduate Study
• The Carla Zampatti Foundation Design Award
• UTS Anthology Writing Prize

UTS: Handbook

Information for international students.

Find out about support services, the Australian education system, accommodation and more to help you get the most out of your study at UTS .

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Application process.

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UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.

Machine Learning & Data Science Foundations

Online Graduate Certificate

Be a Game Changer

Harness the power of big data with skills in machine learning and data science, your pathway to the ai workforce.

Organizations know how important data is, but they don’t always know what to do with the volume of data they have collected. That’s why Carnegie Mellon University designed the online Graduate Certificate in Machine Learning & Data Science Foundations; to teach technically-savvy professionals how to leverage AI and machine learning technology for harnessing the power of large scale data systems.   

Computer-Science Based Data Analytics

When you enroll in this program, you will learn foundational skills in computer programming, machine learning, and data science that will allow you to leverage data science in various industries including business, education, environment, defense, policy and health care. This unique combination of expertise will give you the ability to turn raw data into usable information that you can apply within your organization.  

Throughout the coursework, you will:

• Practice mathematical and computational concepts used in machine learning, including probability, linear algebra, multivariate differential calculus, algorithm analysis, and dynamic programming.
• Learn how to approach and solve large-scale data science problems.
• Acquire foundational skills in solution design, analytic algorithms, interactive analysis, and visualization techniques for data analysis.

An online Graduate Certificate in Machine Learning & Data Science from Carnegie Mellon will expand your possibilities and prepare you for the staggering amount of data generated by today’s rapidly changing world. 

A Powerful Certificate. Conveniently Offered. 

The online Graduate Certificate in Machine Learning & Data Science Foundations is offered 100% online to help computer science professionals conveniently fit the program into their busy day-to-day lives. In addition to a flexible, convenient format, you will experience the same rigorous coursework for which Carnegie Mellon University’s graduate programs are known. 

For Today’s Problem Solvers

This leading certificate program is best suited for:

• Industry Professionals looking to deliver value to companies by acquiring in-demand data science, AI, and machine learning skills. After completing the program, participants will acquire the technical know-how to build machine learning models as well as the ability to analyze trends.
• Recent computer science degree graduates seeking to expand their skill set and become even more marketable in a growing field. Over the past few years, data sets have grown tremendously. Today’s top companies need data science professionals who can leverage machine learning technology.   

Program Name Change

To better reflect the emphasis on machine learning in the curriculum, the name of this certificate has been updated from Computational Data Science Foundations to Machine Learning & Data Science Foundations.

Although the name has changed, the course content, faculty, online experience, admissions requirements, and everything else has remained the same. Questions about the name change? Please contact us.

At a Glance

Start Date May 2024

Application Deadlines Final*: April 9, 2024

*A limited number of partial scholarships are still available. Apply by the final deadline to receive initial consideration for these awards.

Program Length 12 months

Program Format 100% online

Live-Online Schedule 1x per week for 90 minutes in the evening

Taught By School of Computer Science

Request Info

Questions? There are two ways to contact us. Call 412-501-2686 or send an email to  [email protected]  with your inquiries .

Looking for information about CMU's on-campus Master of Computational Data Science degree? Visit the program's website to learn more.  Admissions consultations with our team will only cover the online certificate program.

A National Leader in Computer Science

Carnegie Mellon University is world renowned for its technology and computer science programs. Our courses are taught by leading researchers in the fields of Machine Learning, Language Technologies, and Human-Computer Interaction. 

Number One  in the nation for our artificial intelligence programs.

Number One  in the nation  for our programming language courses.

Number Four  in the nation for the caliber of our computer science programs.