phd in statistics ranking

Best Statistics Programs

Ranked in 2022, part of Best Science Schools

With a graduate degree, statisticians may find jobs

With a graduate degree, statisticians may find jobs working with data in many sectors, including business, government, academia, public health, technology and other science fields. These are the best schools for statistics. Each school's score reflects its average rating on a scale from 1 (marginal) to 5 (outstanding), based on a survey of academics at peer institutions. Read the methodology »

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2024 Best Statistics Doctor's Degree Schools

In 2024, College Factual analyzed 61 schools in order to identify the top ones for its Best Statistics Doctor's Degree Schools ranking. Combined, these schools handed out 456 doctor's degrees in statistics to qualified students.

Jump to one of the following sections: * Our Methodology

• Best Doctor’s Degree Schools List

Choosing a Great Statistics School for Your Doctor's Degree

Overall Quality Is a Must

The overall quality of a doctor's degree school is important to ensure a good education, not just how well they do in a particular major. To make it into this list a school must rank well in our overall Best Colleges for a Doctor's Degree ranking. This ranking considered factors such as graduation rates, overall graduate earnings and other educational resources to identify great colleges and universities.

Average Early-Career Salaries

Average early-career salary of those graduating with their doctor's degree is one indicator we use in our analysis to find the schools that offer the highest-quality education. That is, everyone wants their doctor's degree to be worth something, and salaries are one measure of determining that.

Other Factors We Consider

In addition to the above, you should consider some of the following factors:

• Major Focus - How many resources a school devotes to statistics students as compared to other majors.
• Major Demand - The number of statistics students who choose to seek a doctor's degree at the school.
• Educational Resources - The amount of money and other resources allocated to students while they are pursuing their degree. These resources include such things as number of students per instructor and education expenditures per student.
• Student Debt - How easy is it for statistics to pay back their student loans after receiving their doctor's degree.
• Accreditation - Whether a school is regionally accredited and/or accredited by a recognized statistics related body.

Our complete ranking methodology documents in more detail how we consider these factors to identify the best schools for statistics students working on their doctor's degree.

One Size Does Not Fit All

The stats school you choose to invest your time and money in matters. To help you make the decision that is right for you, we've developed a number of major-specific rankings , including this list of the Best Statistics Doctor's Degree Schools.

Featured Statistics Programs

Learn about start dates, transferring credits, availability of financial aid, and more by contacting the universities below.

BA in Mathematics

If you have a knack for mathematics and an interest in learning more, study online to achieve your career goals at Southern New Hampshire University. Our mathematics degree can help you enhance your mathematical abilities, including reasoning and problem-solving in three areas: analysis, algebra and statistics.

BA in Mathematics - Applied Mathematics

Put mathematical concepts to work to solve today's most complex real-world problems by studying applied mathematics with this specialized online bachelor's from Southern New Hampshire University.

Best Schools for Doctorate Students to Study Statistics in the United States

Below you'll see a list of the best colleges and universities for pursuing a doctor's degree in statistics.

10 Top Schools for a Doctorate in Stats

It is difficult to beat University of Chicago if you wish to pursue a doctor's degree in statistics. Located in the large city of Chicago, UChicago is a private not-for-profit university with a large student population. More information about a doctorate in statistics from University of Chicago

Any student who is interested in a doctor's degree in statistics needs to take a look at Carnegie Mellon University. Located in the large city of Pittsburgh, Carnegie Mellon is a private not-for-profit university with a fairly large student population. More information about a doctorate in statistics from Carnegie Mellon University

Harvard University is one of the best schools in the United States for getting a doctor's degree in statistics. Harvard is a fairly large private not-for-profit university located in the midsize city of Cambridge. More information about a doctorate in statistics from Harvard University

Cornell University is a great choice for individuals interested in a doctor's degree in statistics. Cornell is a very large private not-for-profit university located in the small city of Ithaca. More information about a doctorate in statistics from Cornell University

Northwestern is a very large private not-for-profit university located in the city of Evanston. More information about a doctorate in statistics from Northwestern University

Located in the city of Los Angeles, UCLA is a public university with a fairly large student population. More information about a doctorate in statistics from University of California - Los Angeles

Located in the suburb of Saint Louis, WUSTL is a private not-for-profit university with a large student population. More information about a doctorate in statistics from Washington University in St Louis

UC Berkeley is a fairly large public university located in the city of Berkeley. More information about a doctorate in statistics from University of California - Berkeley

Located in the city of Madison, UW - Madison is a public university with a very large student population. More information about a doctorate in statistics from University of Wisconsin - Madison

Located in the large city of New York, Columbia is a private not-for-profit university with a fairly large student population. More information about a doctorate in statistics from Columbia University in the City of New York

Related Programs

Learn about other programs related to Statistics that might interest you.

Data Science (I Have a HS Diploma or Associate Degree)

Analytics (I Have a HS Diploma or Associate Degree)

Grad Cert - Data Analytics (I Have a Bachelors)

Additional Noteworthy Schools

These are some additional schools worth mentioning that are also great but just didn't quite make the cut to earn our top Best Statistics Doctor's Degree Schools award.

Statistics by Region

View the Best Statistics Doctor's Degree Schools for a specific region near you.

Other Rankings

Best associate degrees in statistics, best master's degrees in statistics, best value in statistics, best for non-traditional students in statistics, best online in statistics, most popular online in statistics, best bachelor's degrees in statistics, best overall in statistics, highest paid grads in statistics, best for veterans in statistics, most popular in statistics, most focused in statistics.

View All Rankings >

Statistics Related Rankings by Major

One of 4 majors within the Mathematics & Statistics area of study, Statistics has other similar majors worth exploring.

Stats Focus Areas

Majors similar to stats, notes and references.

• The bars on the spread charts above show the distribution of the schools on this list +/- one standard deviation from the mean.
• The Integrated Postsecondary Education Data System ( IPEDS ) from the National Center for Education Statistics (NCES), a branch of the U.S. Department of Education (DOE) serves as the core of the rest of our data about colleges.
• Some other college data, including much of the graduate earnings data, comes from the U.S. Department of Education’s ( College Scorecard ).
• Credit for the banner image above goes to QWFP . More about our data sources and methodologies .

Popular Reports

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• Wharton Online

Statistics and Data Science

Wharton’s phd program in statistics and data science provides the foundational education that allows students to engage both cutting-edge theory and applied problems. these include theoretical research in mathematical statistics as well as interdisciplinary research in the social sciences, biology and computer science..

Wharton’s PhD program in Statistics and Data Science provides the foundational education that allows students to engage both cutting-edge theory and applied problems. These include problems from a wide variety of fields within Wharton, such as finance, marketing, and public policy, as well as fields across the rest of the University such as biostatistics within the Medical School and computer science within the Engineering School.

Major areas of departmental research include:

• analysis of observational studies;
• Bayesian inference, bioinformatics;
• decision theory;
• game theory;
• high dimensional inference;
• information theory;
• machine learning;
• model selection;
• nonparametric function estimation; and
• time series analysis.

Students typically have a strong undergraduate background in mathematics. Knowledge of linear algebra and advanced calculus is required, and experience with real analysis is helpful. Although some exposure to undergraduate probability and statistics is expected, skills in mathematics and computer science are more important. Graduates of the department typically take positions in academia, government, financial services, and bio-pharmaceutical industries.

For information on courses and sample plan of study, please visit the University Graduate Catalog .

Get the Details.

Visit the Statistics and Data Science website for details on program requirements and courses. Read faculty and student research and bios to see what you can do with a Statistics PhD.

Statistics and Data Science Doctoral Coordinator 

Dr. Bhaswar Bhattacharya Associate Professor of Statistics and Data Science Associate Professor of Mathematics (secondary appointment) Email: [email protected] Phone: 215-573-0535

Cornell University does not offer a separate Masters of Science (MS) degree program in the field of Statistics. Applicants interested in obtaining a masters-level degree in statistics should consider applying to Cornell's MPS Program in Applied Statistics.

Choosing a Field of Study

There are many graduate fields of study at Cornell University. The best choice of graduate field in which to pursue a degree depends on your major interests. Statistics is a subject that lies at the interface of theory, applications, and computing. Statisticians must therefore possess a broad spectrum of skills, including expertise in statistical theory, study design, data analysis, probability, computing, and mathematics. Statisticians must also be expert communicators, with the ability to formulate complex research questions in appropriate statistical terms, explain statistical concepts and methods to their collaborators, and assist them in properly communicating their results. If the study of statistics is your major interest then you should seriously consider applying to the Field of Statistics.

There are also several related fields that may fit even better with your interests and career goals. For example, if you are mainly interested in mathematics and computation as they relate to modeling genetics and other biological processes (e.g, protein structure and function, computational neuroscience, biomechanics, population genetics, high throughput genetic scanning), you might consider the Field of Computational Biology . You may wish to consider applying to the Field of Electrical and Computer Engineering if you are interested in the applications of probability and statistics to signal processing, data compression, information theory, and image processing. Those with a background in the social sciences might wish to consider the Field of Industrial and Labor Relations with a major or minor in the subject of Economic and Social Statistics. Strong interest and training in mathematics or probability might lead you to choose the Field of Mathematics . Lastly, if you have a strong mathematics background and an interest in general problem-solving techniques (e.g., optimization and simulation) or applied stochastic processes (e.g., mathematical finance, queuing theory, traffic theory, and inventory theory) you should consider the Field of Operations Research .

Residency Requirements

Students admitted to PhD program must be "in residence" for at least four semesters, although it is generally expected that a PhD will require between 8 and 10 semesters to complete. The chair of your Special Committee awards one residence unit after the satisfactory completion of each semester of full-time study. Fractional units may be awarded for unsatisfactory progress.

Your Advisor and Special Committee

The Director of Graduate Studies is in charge of general issues pertaining to graduate students in the field of Statistics. Upon arrival, a temporary Special Committee is also declared for you, consisting of the Director of Graduate Studies (chair) and two other faculty members in the field of Statistics. This temporary committee shall remain in place until you form your own Special Committee for the purposes of writing your doctoral dissertation. The chair of your Special Committee serves as your primary academic advisor; however, you should always feel free to contact and/or chat with any of the graduate faculty in the field of Statistics.

The formation of a Special Committee for your dissertation research should serve your objective of writing the best possible dissertation. The Graduate School requires that this committee contain at least three members that simultaneously represent a certain combination of subjects and concentrations. The chair of the committee is your principal dissertation advisor and always represents a specified concentration within the subject & field of Statistics. The Graduate School additionally requires PhD students to have at least two minor subjects represented on your special committee. For students in the field of Statistics, these remaining two members must either represent (i) a second concentration within the subject of Statistics, and one external minor subject; or, (ii) two external minor subjects. Each minor advisor must agree to serve on your special committee; as a result, the identification of these minor members should occur at least 6 months prior to your A examination.

Some examples of external minors include Computational Biology, Demography, Computer Science, Economics, Epidemiology, Mathematics, Applied Mathematics and Operations Research. The declaration of an external minor entails selecting (i) a field other than Statistics in which to minor; (ii) a subject & concentration within the specified field; and, (iii) a minor advisor representing this field/subject/concentration that will work with you in setting the minor requirements. Typically, external minors involve gaining knowledge in 3-5 graduate courses in the specified field/subject, though expectations can vary by field and even by the choice of advisor. While any choice of external minor subject is technically acceptable, the requirement that the minor representative serve on your Special Committee strongly suggests that the ideal choice(s) should share some natural connection with your choice of dissertation topic.

The fields, subjects and concentrations represented on your committee must be officially recognized by the Graduate School ; the Degrees, Subjects & Concentrations tab listed under each field of study provides this information. Information on the concentrations available for committee members chosen to represent the subject of Statistics can be found on the Graduate School webpage . 

Statistics PhD Travel Support

The Department of Statistics and Data Science has established a fund for professional travel for graduate students. The intent of the Department is to encourage travel that enhances the Statistics community at Cornell by providing funding for graduate students in statistics that will be presenting at conferences. Please review the Graduate Student Travel Award Policy website for more information. 

Completion of the PhD Degree

In addition to the specified residency requirements, students must meet all program requirements as outlined in Program Course Requirements and Timetables and Evaluations and Examinations, as well as complete a doctoral dissertation approved by your Special Committee. The target time to PhD completion is between 4 and 5 years; the actual time to completion varies by student.

Students should consult both the Guide to Graduate Study and Code of Legislation of the Graduate Faculty (available at www.gradschool.cornell.edu ) for further information on all academic and procedural matters pertinent to pursuing a graduate degree at Cornell University.

Graduate Student Handbook (Coming Soon: New Graduate Student Handbook)

Phd program overview.

The PhD program prepares students for research careers in probability and statistics in academia and industry. Students admitted to the PhD program earn the MA and MPhil along the way. The first year of the program is spent on foundational courses in theoretical statistics, applied statistics, and probability. In the following years, students take advanced topics courses. Research toward the dissertation typically begins in the second year. Students also have opportunities to take part in a wide variety of projects involving applied probability or applications of statistics.

Students are expected to register continuously until they distribute and successfully defend their dissertation. Our core required and elective curricula in Statistics, Probability, and Machine Learning aim to provide our doctoral students with advanced learning that is both broad and focused. We expect our students to make Satisfactory Academic Progress in their advanced learning and research training by meeting the following program milestones through courseworks, independent research, and dissertation research:

By the end of year 1: passing the qualifying exams;

By the end of year 2: fulfilling all course requirements for the MA degree and finding a dissertation advisor;

By the end of year 3: passing the oral exam (dissertation prospectus) and fulfilling all requirements for the MPhil degree

By the end of year 5: distributing and defending the dissertation.

We believe in the Professional Development value of active participation in intellectual exchange and pedagogical practices for future statistical faculty and researchers. Students are required to serve as teaching assistants and present research during their training. In addition, each student is expected to attend seminars regularly and participate in Statistical Practicum activities before graduation.

We provide in the following sections a comprehensive collection of the PhD program requirements and milestones. Also included are policies that outline how these requirements will be enforced with ample flexibility. Questions on these requirements should be directed to ADAA Cindy Meekins at [email protected] and the DGS, Professor John Cunningham at [email protected] .

Applications for Admission

• Our students receive very solid training in all aspects of modern statistics. See Graduate Student Handbook for more information.
• Our students receive Fellowship and full financial support for the entire duration of their PhD. See more details here .
• Our students receive job offers from top academic and non-academic institutions .
• Our students can work with world-class faculty members from Statistics Department or the Data Science Institute .
• Our students have access to high-speed computer clusters for their ambitious, computationally demanding research.
• Our students benefit from a wide range of seminars, workshops, and Boot Camps organized by our department and the data science institute .
• Suggested Prerequisites: A student admitted to the PhD program normally has a background in linear algebra and real analysis, and has taken a few courses in statistics, probability, and programming. Students who are quantitatively trained or have substantial background/experience in other scientific disciplines are also encouraged to apply for admission.
• GRE requirement: Waived for Fall 2024.
• Language requirement: The English Proficiency Test requirement (TOEFL) is a Provost's requirement that cannot be waived.
• The Columbia GSAS minimum requirements for TOEFL and IELTS are: 100 (IBT), 600 (PBT) TOEFL, or 7.5 IELTS. To see if this requirement can be waived for you, please check the frequently asked questions below.
• Deadline: Jan 8, 2024 .
• Application process: Please apply by completing the Application for Admission to the Columbia University Graduate School of Arts & Sciences .
• Timeline: P.hD students begin the program in September only.  Admissions decisions are made in mid-March of each year for the Fall semester.

Frequently Asked Questions

• What is the application deadline? What is the deadline for financial aid? Our application deadline is January 5, 2024 .
• Can I meet with you in person or talk to you on the phone? Unfortunately given the high number of applications we receive, we are unable to meet or speak with our applicants.
• What are the required application materials? Specific admission requirements for our programs can be found here .
• Due to financial hardship, I cannot pay the application fee, can I still apply to your program? Yes. Many of our prospective students are eligible for fee waivers. The Graduate School of Arts and Sciences offers a variety of application fee waivers . If you have further questions regarding the waiver please contact  gsas-admissions@ columbia.edu .
• How many students do you admit each year? It varies year to year. We finalize our numbers between December - early February.
• What is the distribution of students currently enrolled in your program? (their background, GPA, standard tests, etc)? Unfortunately, we are unable to share this information.
• How many accepted students receive financial aid? All students in the PhD program receive, for up to five years, a funding package consisting of tuition, fees, and a stipend. These fellowships are awarded in recognition of academic achievement and in expectation of scholarly success; they are contingent upon the student remaining in good academic standing. Summer support, while not guaranteed, is generally provided. Teaching and research experience are considered important aspects of the training of graduate students. Thus, graduate fellowships include some teaching and research apprenticeship. PhD students are given funds to purchase a laptop PC, and additional computing resources are supplied for research projects as necessary. The Department also subsidizes travel expenses for up to two scientific meetings and/or conferences per year for those students selected to present. Additional matching funds from the Graduate School Arts and Sciences are available to students who have passed the oral qualifying exam.
• Can I contact the department with specific scores and get feedback on my competitiveness for the program? We receive more than 450 applications a year and there are many students in our applicant pool who are qualified for our program. However, we can only admit a few top students. Before seeing the entire applicant pool, we cannot comment on admission probabilities.
• What is the minimum GPA for admissions? While we don’t have a GPA threshold, we will carefully review applicants’ transcripts and grades obtained in individual courses.
• Is there a minimum GRE requirement? No. The general GRE exam is waived for the Fall 2024 admissions cycle. 
• Can I upload a copy of my GRE score to the application? Yes, but make sure you arrange for ETS to send the official score to the Graduate School of Arts and Sciences.
• Is the GRE math subject exam required? No, we do not require the GRE math subject exam.
• What is the minimum TOEFL or IELTS  requirement? The Columbia Graduate School of Arts and Sciences minimum requirements for TOEFL and IELTS are: 100 (IBT), 600 (PBT) TOEFL, or 7.5 IELTS
•  I took the TOEFL and IELTS more than two years ago; is my score valid? Scores more than two years old are not accepted. Applicants are strongly urged to make arrangements to take these examinations early in the fall and before completing their application.
• I am an international student and earned a master’s degree from a US university. Can I obtain a TOEFL or IELTS waiver? You may only request a waiver of the English proficiency requirement from the Graduate School of Arts and Sciences by submitting the English Proficiency Waiver Request form and if you meet any of the criteria described here . If you have further questions regarding the waiver please contact  gsas-admissions@ columbia.edu .
• My transcript is not in English. What should I do? You have to submit a notarized translated copy along with the original transcript.

Can I apply to more than one PhD program? You may not submit more than one PhD application to the Graduate School of Arts and Sciences. However, you may elect to have your application reviewed by a second program or department within the Graduate School of Arts and Sciences if you are not offered admission by your first-choice program. Please see the application instructions for a more detailed explanation of this policy and the various restrictions that apply to a second choice. You may apply concurrently to a program housed at the Graduate School of Arts and Sciences and to programs housed at other divisions of the University. However, since the Graduate School of Arts and Sciences does not share application materials with other divisions, you must complete the application requirements for each school.

How do I apply to a dual- or joint-degree program? The Graduate School of Arts and Sciences refers to these programs as dual-degree programs. Applicants must complete the application requirements for both schools. Application materials are not shared between schools. Students can only apply to an established dual-degree program and may not create their own.

With the sole exception of approved dual-degree programs , students may not pursue a degree in more than one Columbia program concurrently, and may not be registered in more than one degree program at any institution in the same semester. Enrollment in another degree program at Columbia or elsewhere while enrolled in a Graduate School of Arts and Sciences master's or doctoral program is strictly prohibited by the Graduate School. Violation of this policy will lead to the rescission of an offer of admission, or termination for a current student.

When will I receive a decision on my application? Notification of decisions for all PhD applicants generally takes place by the end of March.

Notification of MA decisions varies by department and application deadlines. Some MA decisions are sent out in early spring; others may be released as late as mid-August.

Can I apply to both MA Statistics and PhD statistics simultaneously?  For any given entry term, applicants may elect to apply to up to two programs—either one PhD program and one MA program, or two MA programs—by submitting a single (combined) application to the Graduate School of Arts and Sciences.  Applicants who attempt to submit more than one Graduate School of Arts and Sciences application for the same entry term will be required to withdraw one of the applications.

The Graduate School of Arts and Sciences permits applicants to be reviewed by a second program if they do not receive an offer of admission from their first-choice program, with the following restrictions:

• This option is only available for fall-term applicants.
• Applicants will be able to view and opt for a second choice (if applicable) after selecting their first choice. Applicants should not submit a second application. (Note: Selecting a second choice will not affect the consideration of your application by your first choice.)
• Applicants must upload a separate Statement of Purpose and submit any additional supporting materials required by the second program. Transcripts, letters, and test scores should only be submitted once.
• An application will be forwarded to the second-choice program only after the first-choice program has completed its review and rendered its decision. An application file will not be reviewed concurrently by both programs.
• Programs may stop considering second-choice applications at any time during the season; Graduate School of Arts and Sciences cannot guarantee that your application will receive a second review.
• What is the mailing address for your PhD admission office? Students are encouraged to apply online . Please note: Materials should not be mailed to the Graduate School of Arts and Sciences unless specifically requested by the Office of Admissions. Unofficial transcripts and other supplemental application materials should be uploaded through the online application system. Graduate School of Arts and Sciences Office of Admissions Columbia University  107 Low Library, MC 4303 535 West 116th Street  New York, NY 10027
• How many years does it take to pursue a PhD degree in your program? Our students usually graduate in 4‐6 years.
• Can the PhD be pursued part-time? No, all of our students are full-time students. We do not offer a part-time option.
• One of the requirements is to have knowledge of linear algebra (through the level of MATH V2020 at Columbia) and advanced calculus (through the level of MATH V1201). I studied these topics; how do I know if I meet the knowledge content requirement? We interview our top candidates and based on the information on your transcripts and your grades, if we are not sure about what you covered in your courses we will ask you during the interview.
• Can I contact faculty members to learn more about their research and hopefully gain their support? Yes, you are more than welcome to contact faculty members and discuss your research interests with them. However, please note that all the applications are processed by a central admission committee, and individual faculty members cannot and will not guarantee admission to our program.
• How do I find out which professors are taking on new students to mentor this year?  Applications are evaluated through a central admissions committee. Openings in individual faculty groups are not considered during the admissions process. Therefore, we suggest contacting the faculty members you would like to work with and asking if they are planning to take on new students.

For more information please contact us at [email protected] .

For more information please contact us at  [email protected]

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Doctor of Mathematics and Statistics Programs in America

1-25 of 162 results

MIT School of Science

Cambridge, MA •

Massachusetts Institute of Technology •

Graduate School

Massachusetts Institute of Technology ,

Graduate School ,

CAMBRIDGE, MA ,

Stanford University Department of Humanities and Sciences

Stanford, CA •

Stanford University •

Stanford University ,

STANFORD, CA ,

Yale Graduate School of Arts and Sciences

New Haven, CT •

Yale University •

• • Rating 4.5 out of 5   2 reviews

Master's Student: The resources at Yale are outstanding. While some of the required courses are slow-moving and less informative, I do have more academic freedom in my second year to the program to take classes that I enjoy across all departments (including data science, statistics, computer science, and law). ... Read 2 reviews

Yale University ,

NEW HAVEN, CT ,

2 Niche users give it an average review of 4.5 stars.

Featured Review: Master's Student says The resources at Yale are outstanding. While some of the required courses are slow-moving and less informative, I do have more academic freedom in my second year to the program to take classes that I... .

Read 2 reviews.

School of Arts & Sciences - Clarkson University

Clarkson University •

Graduate School •

POTSDAM, NY

Lehigh University

BETHLEHEM, PA

• • Rating 4.42 out of 5   19

Kenneth P. Dietrich School of Arts and Sciences

University of Pittsburgh •

PITTSBURGH, PA

Harvard Graduate School of Arts and Sciences

Harvard University •

• • Rating 4.56 out of 5   9 reviews

Other: I am Harvard Extension School student pursuing a master degree, ALM, in sustainability. I have achieved a 3.89 in this program so far and have qualified, applied, and accepted as a 'Special Student' in the Harvard Graduate School of Arts and Sciences. Through this School, I will be focusing my time at the John A. Paulson school of Engineering & Applied Sciences. Looking forward to wrapping up my final year on campus! ... Read 9 reviews

Harvard University ,

9 Niche users give it an average review of 4.6 stars.

Featured Review: Other says I am Harvard Extension School student pursuing a master degree, ALM, in sustainability. I have achieved a 3.89 in this program so far and have qualified, applied, and accepted as a 'Special Student'... .

Read 9 reviews.

Princeton University

Princeton, NJ •

• • Rating 4.33 out of 5   3 reviews

Master's Student: The best part of the Princeton University mechanical engineering graduate degree is the excellent faculty that teach the courses. They are incredibly knowledgeable and also very willing to help students in office hours or in sponsorship of projects. The worst part of the Princeton University mechanical engineering graduate degree is the lack of structure for the graduate research program which can leave you feeling unsure on the direction of your research. ... Read 3 reviews

PRINCETON, NJ ,

3 Niche users give it an average review of 4.3 stars.

Featured Review: Master's Student says The best part of the Princeton University mechanical engineering graduate degree is the excellent faculty that teach the courses. They are incredibly knowledgeable and also very willing to help... .

Read 3 reviews.

The Graduate School at Duke

Durham, NC •

Duke University •

• • Rating 4.8 out of 5   5 reviews

Current Master's student: The program is the best in the nation. It is the origin of the profession and it has helped developed it to what it is today. They seem to ver much involve alumni and are involved in your future. ... Read 5 reviews

Duke University ,

DURHAM, NC ,

5 Niche users give it an average review of 4.8 stars.

Featured Review: Current Master's student says The program is the best in the nation. It is the origin of the profession and it has helped developed it to what it is today. They seem to ver much involve alumni and are involved in your future. .

Read 5 reviews.

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Brown University Graduate School

Providence, RI •

Brown University •

Brown University ,

PROVIDENCE, RI ,

School of Arts & Sciences - University of Pennsylvania

Philadelphia, PA •

University of Pennsylvania •

University of Pennsylvania ,

PHILADELPHIA, PA ,

George R. Brown School of Engineering

Houston, TX •

Rice University •

Blue checkmark.

Rice University ,

HOUSTON, TX ,

Weinberg College of Arts and Sciences

Evanston, IL •

Northwestern University •

Northwestern University ,

EVANSTON, IL ,

College of Arts and Science

Nashville, TN •

Vanderbilt University •

Vanderbilt University ,

NASHVILLE, TN ,

Washington University in St. Louis - Arts & Sciences

St. Louis, MO •

Washington University in St. Louis •

Washington University in St. Louis ,

ST. LOUIS, MO ,

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Guarini School of Graduate and Advanced Studies

Hanover, NH •

Dartmouth College •

• • Rating 5 out of 5   1 review

Alum: I had a beautiful life-changing experience at the grand Guarini School of Graduate and Advanced Studies. The Guarini graduate program MALS created so many beautiful opportunities in interdisciplinary learning. Guarini is well integrated within the College, which provides a unique world-class learning experience. Guarini went beyond my expectations and made this experience the best I had and will ever have in my life. The only thing I would like changed is having a GRAD diploma in Latin instead of English to keep up with College tradition. ... Read 1 review

Dartmouth College ,

HANOVER, NH ,

1 Niche users give it an average review of 5 stars.

Featured Review: Alum says I had a beautiful life-changing experience at the grand Guarini School of Graduate and Advanced Studies. The Guarini graduate program MALS created so many beautiful opportunities in interdisciplinary... .

Read 1 reviews.

Division of Physics, Mathematics and Astronomy - California Institute of Technology

Pasadena, CA •

California Institute of Technology •

California Institute of Technology ,

PASADENA, CA ,

College of Science - University of Notre Dame

Notre Dame, IN •

University of Notre Dame •

University of Notre Dame ,

NOTRE DAME, IN ,

Physical Sciences Division - University of Chicago

Chicago, IL •

University of Chicago •

Master's Student: The masters in computer science at UChicago has an opportunity for students from nontraditional computer science backgrounds to take “immersion courses” to get up to speed before taking the masters level coursework, which is extremely inclusive programming. The program is also a top competitor and prepares students for professional careers. ... Read 1 review

University of Chicago ,

CHICAGO, IL ,

Featured Review: Master's Student says The masters in computer science at UChicago has an opportunity for students from nontraditional computer science backgrounds to take “immersion courses” to get up to speed before taking the masters... .

Dornsife College of Letters, Arts and Sciences

Los Angeles, CA •

University of Southern California •

University of Southern California ,

LOS ANGELES, CA ,

Cornell University College of Arts & Sciences

Ithaca, NY •

Cornell University •

Cornell University ,

ITHACA, NY ,

Rackham School of Graduate Studies

Ann Arbor, MI •

University of Michigan - Ann Arbor •

Master's Student: The Landscape Architecture program at UMich School for Environment and Sustainability is rooted in advancing sustainable design and ecological function, rather than pure aesthetics. We have some amazing faculty very dedicated to this mission, some of whom are legends within the field. This program attracts and retains students who are diverse, passionate, friendly and helpful, and the experience at this school has been very rewarding. The curriculum is challenging but thought provoking, and everyone in the studios is happy and willing to help, fostering a warm sense of comradery and support. ... Read 5 reviews

University of Michigan - Ann Arbor ,

ANN ARBOR, MI ,

Featured Review: Master's Student says The Landscape Architecture program at UMich School for Environment and Sustainability is rooted in advancing sustainable design and ecological function, rather than pure aesthetics. We have some... .

School of Arts and Sciences - Tufts University

Medford, MA •

Tufts University •

• • Rating 4 out of 5   4 reviews

Master's Student: My experience was mostly great! I felt supported by faculty and staff and became involved in student activities. It was just unfortunate that my on-campus experience was cut short due to the pandemic so I was not able to fully take advantage of all the program and graduate school had to offer. ... Read 4 reviews

Tufts University ,

MEDFORD, MA ,

4 Niche users give it an average review of 4 stars.

Featured Review: Master's Student says My experience was mostly great! I felt supported by faculty and staff and became involved in student activities. It was just unfortunate that my on-campus experience was cut short due to the pandemic... .

Read 4 reviews.

UCLA College of Letters and Science

University of California - Los Angeles •

• • Rating 3 out of 5   1 review

University of California - Los Angeles ,

1 Niche users give it an average review of 3 stars.

Krieger School of Arts & Sciences

Baltimore, MD •

Johns Hopkins University •

• • Rating 4.53 out of 5   19 reviews

Master's Student: I have yet to enroll for Fall 2023 after receiving my acceptance letter due to a delay in my need-based financial aid from JHU. However the Homewood Campus in Baltimore is beautiful and my Student Advisor, Alexis has been extremely helpful in initiating my enrollment process and answering all of my questions in a timely matter. My intended Advanced Academic Program is the accelerated (2 semester), dual-modality, 40-credit M.S. in Biotechnology, Biodefense concentration. All of the anticipated course subjects are diverse and there's even a customizable core lab course on campus (at least until Summer 2024). I can't wait and I wish you all the best in your search for academic programs or professional certifications. ... Read 19 reviews

Johns Hopkins University ,

BALTIMORE, MD ,

19 Niche users give it an average review of 4.5 stars.

Featured Review: Master's Student says I have yet to enroll for Fall 2023 after receiving my acceptance letter due to a delay in my need-based financial aid from JHU. However the Homewood Campus in Baltimore is beautiful and my Student... .

Read 19 reviews.

Mellon College of Science

Pittsburgh, PA •

Carnegie Mellon University •

Carnegie Mellon University ,

PITTSBURGH, PA ,

The Graduate School of Arts & Sciences - University of Virginia

Charlottesville, VA •

University of Virginia •

• • Rating 4 out of 5   1 review

Alum: Very good in some areas, excellent in other areas, many academic choices available in all areas of study ... Read 1 review

University of Virginia ,

CHARLOTTESVILLE, VA ,

1 Niche users give it an average review of 4 stars.

Featured Review: Alum says Very good in some areas, excellent in other areas, many academic choices available in all areas of study .

Laney Graduate School

Atlanta, GA •

Emory University •

• • Rating 5 out of 5   2 reviews

Master's Student: I chose the graduate programs at Emory because they are ranked among the best in the country. The school of nursing also provides the clinical experiences, something many of the online only nurse practitioner programs do not do. ... Read 2 reviews

Emory University ,

ATLANTA, GA ,

2 Niche users give it an average review of 5 stars.

Featured Review: Master's Student says I chose the graduate programs at Emory because they are ranked among the best in the country. The school of nursing also provides the clinical experiences, something many of the online only nurse... .

College of Arts and Sciences - University of Wyoming

University of Wyoming •

LARAMIE, WY

• • Rating 5 out of 5   4

Clarkson University

• • Rating 3.88 out of 5   41

Mississippi State University

MISSISSIPPI STATE, MS

• • Rating 4.52 out of 5   50

Showing results 1 through 25 of 162

Ph.D. in Statistics

Our doctoral program in statistics gives future researchers preparation to teach and lead in academic and industry careers.

Program Description

Degree type.

approximately 5 years

The relatively new Ph.D. in Statistics strives to be an exemplar of graduate training in statistics. Students are exposed to cutting edge statistical methodology through the modern curriculum and have the opportunity to work with multiple faculty members to take a deeper dive into special topics, gain experience in working in interdisciplinary teams and learn research skills through flexible research electives. Graduates of our program are prepared to be leaders in statistics and machine learning in both academia and industry.

The Ph.D. in Statistics is expected to take approximately five years to complete, and students participate as full-time graduate students.  Some students are able to finish the program in four years, but all admitted students are guaranteed five years of financial support.  

Within our program, students learn from global leaders in statistics and data sciences and have:

20 credits of required courses in statistical theory and methods, computation, and applications

18 credits of research electives working with two or more faculty members, elective coursework (optional), and a guided reading course

Dissertation research

Coursework Timeline

Year 1: focus on core learning.

The first year consists of the core courses:

• SDS 384.2 Mathematical Statistics I
• SDS 383C Statistical Modeling I
• SDS 387 Linear Models
• SDS 384.11 Theoretical Statistics
• SDS 383D Statistical Modeling II
• SDS 386D Monte Carlo Methods

In addition to the core courses, students of the first year are expected to participate in SDS 190 Readings in Statistics. This class focuses on learning how to read scientific papers and how to grasp the main ideas, as well as on practicing presentations and getting familiar with important statistics literature.

At the end of the first year, students are expected to take a written preliminary exam. The examination has two purposes: to assess the student’s strengths and weaknesses and to determine whether the student should continue in the Ph.D. program. The exam covers the core material covered in the core courses and it consists of two parts: a 3-hour closed book in-class portion and a take-home applied statistics component. The in-class portion is scheduled at the end of the Spring Semester after final exams (usually late May). The take-home problem is distributed at the end of the in-class exam, with a due-time 24 hours later. 

Year 2: Transitioning from Student to Researcher

In the second year of the program, students take the following courses totaling 9 credit hours each semester:

• Required: SDS 190 Readings in Statistics (1 credit hour)
• Required: SDS 389/489 Research Elective* (3 or 4 credit hours) in which the student engages in independent research under the guidance of a member of the Statistics Graduate Studies Committee
• One or more elective courses selected from approved electives ; and/or
• One or more sections of SDS 289/389/489 Research Elective* (2 to 4 credit hours) in which the student engages in independent research with a member(s) of the Statistics Graduate Studies Committee OR guided readings/self-study in an area of statistics or machine learning. 
• Internship course (0 or 1 credit hour; for international students to obtain Curricular Practical Training; contact Graduate Coordinator for appropriate course options)
• GRS 097 Teaching Assistant Fundamentals or NSC 088L Introduction to Evidence-Based Teaching (0 credit hours; for TA and AI preparation)

* Research electives allow students to explore different advising possibilities by working for a semester with a particular professor. These projects can also serve as the beginning of a dissertation research path. No more than six credit hours of research electives can be taken with a single faculty member in a semester.

Year 3: Advance to Candidacy

Students are encouraged to attend conferences, give presentations, as well as to develop their dissertation research. At the end of the second year or during their third year, students are expected to present their plan of study for the dissertation in an Oral candidacy exam. During this exam, students should demonstrate their research proficiency to their Ph.D. committee members. Students who successfully complete the candidacy exam can apply for admission to candidacy for the Ph.D. once they have completed their required coursework and satisfied departmental requirements. The steps to advance to candidacy are:

• Discuss potential candidacy exam topics with advisor
• Propose Ph.D. committee: the proposed committee must follow the Graduate School and departmental regulations on committee membership for what will become the Ph.D. Dissertation Committee
•   Application for candidacy

Year 4+: Dissertation Completion and Defense

Students are encouraged to attend conferences, give presentations, as well as to develop their dissertation research. Moreover, they are expected to present part of their work in the framework of the department's Ph.D. poster session.

Students who are admitted to candidacy will be expected to complete and defend their Ph.D. thesis before their Ph.D. committee to be awarded the degree. The final examination, which is oral, is administered only after all coursework, research and dissertation requirements have been fulfilled. It is expected that students will be prepared to defend by the end of their fifth year in the doctoral program.

General Information and Expectations for All Ph.D. students

• 2023-24 Student Handbook
• Annual Review At the end of every year (due May 1), students are expected to fill out the Annual Progress Review . 
• Seminar Series All students are expected to attend the SDS Seminar Series
• SDS 189R Course Description (when taken for internship)
• Internship Course Registration form
• Intel Corporation
• Berry Consultants

Attending Conferences 

Students are encouraged to attend conferences to share their work. All research-related travel while in student status require prior authorization.

• Request for Travel Authorization (both domestic and international travel)
• Request for Authorization for International Travel  

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Ph.d. program.

Statistical Science at Duke is the world's leading graduate research and educational environment for Bayesian statistics, emphasizing the major themes of 21st century statistical science: foundational concepts of statistics, theory and methods of complex stochastic modeling, interdisciplinary applications of statistics, computational statistics, big data analytics, and machine learning. Life as a Ph.D. student in Statistical Science at Duke involves immersion in a broad range of research experiences and emphasizes conceptual innovation, as well as building a deep and broad foundation in theory and methods.

Coupled with our core emphases in modeling, computation and the methodologies of modern statistical science is a broad range of interdisciplinary relationships with many other disciplines (biomedical sciences, environmental sciences, genomics, computer science, engineering, finance, neuroscience, social sciences, and others). The rich opportunities for students in interdisciplinary statistical research at Duke are complemented by opportunities for engagement in research in summer projects with nonprofit agencies, industry, and academia.

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PhD in Statistics

Program description.

The Ph.D. program in statistics prepares students for a career pursuing research in either academia or industry.  The program provides rigorous classroom training in the theory, methodology, and application of statistics, and provides the opportunity to work with faculty on advanced research topics over a wide range of theory and application areas. To enter, students need a bachelor’s degree in mathematics, statistics, or a closely related discipline. Students graduating with a PhD in Statistics are expected to:

• Demonstrate an understanding the core principles of Probability Theory, Estimation Theory, and Statistical Methods.
• Demonstrate the ability to conduct original research in statistics.
• Demonstrate the ability to present research-level statistics in a formal lecture

Requirements for the Ph.D. (Statistics Track)

Course Work A Ph.D. student in our department must complete sixteen courses for the Ph.D. At most, four of these courses may be transferred from another institution. If the Ph.D. student is admitted to the program at the post-Master’s level, then eight courses are usually required.

Qualifying Examinations First, all Ph.D. students in the statistics track must take the following two-semester sequences: MA779 and MA780 (Probability Theory I and II), MA781 (Estimation Theory) and MA782 (Hypothesis Testing), and MA750 and MA751 (Advanced Statistical Methods I and II). Then, to qualify a student to begin work on a PhD dissertation, they must pass two of the following three exams at the PhD level: probability, mathematical statistics, and applied statistics. The probability and mathematical statistics exams are offered every September and the applied statistics exam is offered every April.

• PhD Exam in Probability: This exam covers the material covered in MA779 and MA780 (Probability Theory I and II).
• PhD Exam in Mathematical Statistics: This exam covers material covered in MA781 (Estimation Theory) and MA782 (Hypothesis Testing).
• PhD Exam in Applied Statistics: This exam covers the same material as the M.A. Applied exam and is offered at the same time, except that in order to pass it at the PhD level a student must correctly solve all four problems.

Note: Students concentrating in probability may choose to do so either through the statistics track or through the mathematics track. If a student wishes to do so through the mathematics track, the course and exam requirements are different. Details are available here .

Dissertation The dissertation is the major requirement for a Ph.D. student. After the student has completed all course work, the Director of Graduate Studies, in consultation with the student, selects a three-member dissertation committee. One member of this committee is designated by the Director of Graduate Studies as the Major Advisor for the student. Once completed, the dissertation must be defended in an oral examination conducted by at least five members of the Department.

The Dissertation and Final Oral Examination follows the   GRS General Requirements for the Doctor of Philosophy Degree .

Satisfactory Progress Toward the Degree Upon entering the graduate program, each student should consult the Director of Graduate Studies (Prof. David Rohrlich) and the Associate Director of the Program in Statistics (Prof. Konstantinos Spiliopoulos). Initially, the Associate Director of the Program in Statistics will serve as the default advisor to the student. Eventually the student’s advisor will be determined in conjunction with their dissertation research. The Associate Director of the Program in Statistics, who will be able to guide the student through the course selection and possible directed study, should be consulted often, as should the Director of Graduate Studies. Indeed, the Department considers it important that each student progress in a timely manner toward the degree. Each M.A. student must have completed the examination by the end of their second year in the program, while a Ph.D. student must have completed the qualifying examination by the third year. Students entering the Ph.D. program with an M.A. degree must have completed the qualifying examination by October of the second year. Failure to meet these deadlines may jeopardize financial aid. Some flexibility in the deadlines is possible upon petition to the graduate committee in cases of inadequate preparation.

Students enrolled in the Graduate School of Arts & Sciences (GRS) are expected to adhere to a number of policies at the university, college, and departmental levels. View the policies on the Academic Bulletin and GRS website .

Residency Post-BA students must complete all of the requirements for a Ph.D. within seven years of enrolling in the program and post-MA students must complete all requirements within five years. This total time limit is set by the Graduate School. Students needing extra time must petition the Graduate School. Also, financial aid is not guaranteed after the student’s fifth year in the program.

Financial Aid

As with all Ph.D. students in the Department of Mathematics and Statistics, the main source of financial aid for graduate students studying statistics is a Teaching Fellowship. These awards carry a stipend as well as tuition remission for six courses per year. Teaching Fellows are required to assist a faculty member who is teaching a course, usually a large lecture section of an introductory statistics course. Generally, the Teaching Fellow is responsible for conducting a number of discussion sections consisting of approximately twenty-five students each, as well as for holding office hours and assisting with grading. The Teaching Fellowship usually entails about twenty hours of work per week. For that reason, Teaching Fellows enroll in at most three courses per semester. A Teaching Fellow Seminar is conducted to help new Teaching Fellows develop as instructors and to promote the continuing development of experienced Teaching Fellows.

Other sources of financial aid include University Fellowships and Research Assistantships. The University Fellowships are one-year awards for outstanding students and are service-free. They carry stipends plus full tuition remission. Students do not need to apply for these fellowships. Research Assistantships are linked to research done with individual faculty, and are paid for through those faculty members’ grants. As a result, except on rare occasions, Research Assistantships typically are awarded to students in their second year and beyond, after student and faculty have had sufficient time to determine mutuality of their research interests.

Regular reviews of the performance of Teaching Fellows and Research Assistants in their duties as well as their course work are conducted by members of the Department’s Graduate Committee.

Ph.D. Program Milestones

The department considers it essential that each student progress in a timely manner toward completion of the degree. The following are the deadlines for achieving the milestones described in the Degree Requirements and constitute the basis for evaluating satisfactory progress towards the Ph.D. These deadlines are not to be construed as expected times to complete the various milestones, but rather as upper bounds. In other words,   a student in good standing expecting to complete   the degree within the five years of guaranteed funding will meet these milestones by the much e arlier target dates indicated below.   Failure to achieve these milestones in a timely manner may affectfinancial aid.

• Target: April of Year 1
• Deadline: April of Year 2
• Target: Spring of Year 2 post-BA/Spring of Year 1 post-MA
• Deadline: End of Year 3 post-BA/Fall of Year 2 post-MA
• Target: Spring of Year 2
• Deadline: End of Year 3
• Target: Spring of Year 2 or Fall of Year 3 post-BA/October of Year 2 post-MA
• Deadline: End of Year 3 post-BA/October of Year 2 post-MA
• Target: end of Year 3
• Deadline: End of Year 4
• Target: End of Year 5
• Deadline: End of Year 6

If you have any questions regarding our PhD program in Statistics, please reach out to us at [email protected]

• Youth Program
• Wharton Online

PhD Program

Wharton’s PhD program in Statistics provides the foundational education that allows students to engage both cutting-edge theory and applied problems. These include problems from a wide variety of fields within Wharton, such as finance, marketing, and public policy, as well as fields across the rest of the University such as biostatistics within the Medical School and computer science within the Engineering School.

Major areas of departmental research include: analysis of observational studies; Bayesian inference, bioinformatics; decision theory; game theory; high dimensional inference; information theory; machine learning; model selection; nonparametric function estimation; and time series analysis.

Students typically have a strong undergraduate background in mathematics. Knowledge of linear algebra and advanced calculus is required, and experience with real analysis is helpful. Although some exposure to undergraduate probability and statistics is expected, skills in mathematics and computer science are more important. Graduates of the department typically take positions in academia, government, financial services, and bio-pharmaceutical industries.

Apply online here .

Department of Statistics and Data Science

The Wharton School, University of Pennsylvania Academic Research Building 265 South 37th Street, 3rd & 4th Floors Philadelphia, PA 19104-1686

Phone: (215) 898-8222

• Contact Information
• Course Descriptions
• Course Schedule
• Doctoral Inside: Resources for Current PhD Students
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• Apply to Wharton
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Statistics PhD Admissions

Application Deadline for Autumn 2024-25: Thursday, November 30, 2023 (11:59pm PST)

Applicants may not matriculate in any other quarter.

Application Review

File review begins promptly after the application deadline. Internal applications will be evaluated at the same time as the external applications: there is no separate review process for internal applicants. Please be aware that the Graduate Admissions Committee is not required to review incomplete applications.

We urge applicants to take all required tests well before the application deadline.

Decisions Announced: by mid-February

NB: If you are considering applying to our PhD program, please also consider applying to be a Knight-Hennessy Scholar. The deadline to apply for this prestigious fellowship for 2024-25 is October 11, 2023, at 1pm PST. For more details see the Knight-Hennessy program overview .

Application Requirements and Procedures

Financial support, phd admissions faq.

Statistics at UC Berkeley

We are a community engaged in research and education in probability and statistics. In addition to developing fundamental theory and methodology, we are actively involved in statistical problems that arise in such diverse fields as molecular biology, geophysics, astronomy, AIDS research, neurophysiology, sociology, political science, education, demography, and the U.S. Census.

Top ranking programs

We are consistently ranked one of the top two Statistics graduate programs in the United States and globally. Our undergraduate and graduate programs are renowned for preparing students for a constantly evolving data-based and data-driven world. We teach the concepts and real skills to successfully and ethically work in fields as diverse as medicine, finance, technology and government.

Our award winning faculty

Our faculty are at the leading edge of statistical research, with 2 National Medal of Science winners, 12 members of the National Academy of Science, multiple members of the American Academy of Arts and Sciences, Guggenheim Fellows, MacArthur Fellowship ("Genius Grant") winners, and Sloan Fellows, to name just some of the awards held by our esteemed faculty.

Teaching innovations

Our instruction is at the cutting edge of statistical science. Our pedagogy includes concepts across data science, probability, applied and theoretical statistics, mathematics and machine learning. We are innovative in adapting new interdisciplinary courses and methods to meet a changing world around us.

Prospective Students

Current students, department members, outside community, news & events, two sigma phd fellowship recipients for 2024-25.

Bray Wins Instructional Technology and Innovation Micro Grant

Statistics Spotlight: Steve Howard Ph.D. ‘10

Project Jupyter Recognized by White House

Research in the department is wide ranging, both in terms of areas of applications and in terms of focus. To see what we are currently working on:

Giving to the Statistics Department

You can help ensure the department continues to be a leading Statistics program in the nation, meeting our mission of educating leaders, creating knowledge, and serving society.

or look at other ways to donate

Statistics, PHD

On this page:, at a glance: program details.

• Location: Tempe campus
• Second Language Requirement: No

Program Description

Degree Awarded: PHD Statistics

As a science, statistics focuses on data collection and data analysis by using theoretical, applied and computational tools. The PhD program in statistics reflects this breadth in tools and considerations while allowing students sufficient flexibility to tailor their program of study to reflect individual interests and goals. Research can be of a disciplinary or transdisciplinary nature.

Degree Requirements

84 credit hours, a written comprehensive exam, a prospectus and a dissertation

Required Core (3 credit hours) STP 526 Theory of Statistical Linear Models (3)

Other Requirements (15 credit hours) IEE 572 Design Engineering Experiments (3) or STP 531 Applied Analysis of Variance (3) IEE 578 Regression Analysis (3) or STP 530 Applied Regression Analysis (3) STP 501 Theory of Statistics I: Distribution Theory 3 (3) STP 502 Theory of Statistics II: Inference (3) STP 527 Statistical Large Sample Theory (3)

Electives (42 credit hours)

Research (12 credit hours) STP 792 Research (12)

Culminating Experience (12 credit hours) STP 799 Dissertation (12)

Additional Curriculum Information Electives are chosen from statistics or related area courses approved by the student's supervisory committee.

Other requirements courses may be substituted with department approval.

Students must pass:

• one qualifying examination and coursework in analysis
• a written comprehensive examination
• a dissertation prospectus defense

Students should see the department website for examination information.

Each student must write a dissertation and defend it orally in front of five dissertation committee members.

Admission Requirements

Applicants must fulfill the requirements of both the Graduate College and The College of Liberal Arts and Sciences.

Applicants are eligible to apply to the program if they have earned a bachelor's or master's degree in mathematics, statistics or a closely related area from a regionally accredited institution.

Applicants must have a minimum cumulative GPA of 3.00 (scale is 4.00 = "A") in the last 60 hours of their first bachelor's degree program or a minimum cumulative GPA of 3.00 (scale is 4.00 = "A") in an applicable master's degree program.

All applicants must submit:

• graduate admission application and application fee
• official transcripts
• statement of education and career goals
• three letters of recommendation
• proof of English proficiency

Additional Application Information An applicant whose native language is not English must provide proof of English proficiency regardless of their current residency.

Completion of the following courses (equivalents at ASU are given in parentheses) is required. Applicants who lack any of these prerequisite courses must complete them before being considered for admission.

• calculus (MAT 270, 271 and 272)
• advanced calculus (MAT 371)
• linear algebra (MAT 342)
• computer programming (CSE 100)
• introductory applied statistics (STP 420)

Next Steps to attend ASU

Learn about our programs, apply to a program, visit our campus, application deadlines, learning outcomes.

• Able to complete original research in statistics.
• Proficient in applying advanced statistical methods in coursework and research.
• Address an original research question in statistics.

Career Opportunities

Statistical analysis and data mining have been identified as two of the most desirable skills in today's job market. Data, and the analysis of data, is big business, and the Department of Labor projects that overall employment of mathematicians and statisticians will grow 33% between 2020 and 2030, much faster than the average for all occupations.

For graduates of the doctoral program in statistics, that means a broad variety of career opportunities in fields as diverse as business, finance, engineering, technology, education, marketing, government and other areas of the economy.

These are just a few of the top career opportunities available for a graduate with a doctoral degree in statistics:

• business consultant or analyst
• data science professor, instructor or researcher
• data scientist
• faculty-track academic
• financial analyst
• market research analyst
• software engineer
• statistician

Program Contact Information

If you have questions related to admission, please click here to request information and an admission specialist will reach out to you directly. For questions regarding faculty or courses, please use the contact information below.

• [email protected]
• 480/965-3951

PhD in Statistics

The Doctor of Philosophy (PhD) program in Statistics prepares students for careers in industry, research institutions, and universities. The students initially undergo a sound training in theory and applied statistics, followed by advanced courses and dissertation research. Statistics faculty in the department work in diverse areas of research topics and are also actively involved in interdisciplinary research collaboration. This provides our PhD students a wide array of research topics to choose from for their PhD dissertation.

All PhD students have the opportunity to work as paid interns in the nearby industries and research institutions, such as Cincinnati Children's Hospital, Proctor & Gamble, and Medpace, after they finish a set of core applied statistics courses.  The internships are coordinated by the Department. The Department is consistently successful in placing most of our students with an internship of student’s interest. The internship offers the students experience in applying statistical methods they learn to real-world problems under the mentorship of experienced statisticians and researchers, while they pursue their PhD degree. Students also have the opportunity to choose a PhD dissertation research topic related to their internship work.  

The multifaceted training of our students, through course work, research, and the wide range of interdisciplinary experience through internship, sets our PhD program apart from other PhD programs in statistics. Our past students have had an extremely high success rate of employment in industries, research institutions, and universities after graduation.

Admission Requirements

Students applying for the program should have or be expecting to obtain a bachelor’s degree in statistics or a related area. Specifically, all students should have taken: 

• Three semesters of calculus up to and including multivariate calculus
• A semester course in linear algebra
• A semester course in calculus-based probability and statistics
• Courses in pure and applied statistics similar to STAT 6021-6022 (Mathematical Statistics I and II) and STAT 6031 (Applied Regression Analysis) and STAT 6032 (Design and Analysis of Experiments).

An official GRE score is required for admission.  This requirement is waived for UC undergraduates with a degree in a relevant field and a cumulative GPA of 3.5 or higher, for applicants with at least 6 graduate credits in a relevant field with a cumulative GPA of 3.2 or higher, or for applicants with numerous years of relevant work experience with demonstrated advancement.  A quantitative score of 160 or higher is recommended.

The English proficiency requirement is met for applicants with degrees earned in English from accredited universities and colleges in  the US or other English-speaking countries .

Financial Support

Most of our PhD students receive full financial support (tuition remission and a Graduate Assistantship, a fellowship, or an internship), and most are supported through their entire UC career.  Travel support is available for students to attend or present their work at conferences.  

All applicants for the PhD program are automatically reviewed for graduate assistantship eligibility at the time of application. 

• Financial aid opportunities for students in the Mathematical Sciences Department
• Tuition and fees for graduate and professional students

Application Instructions

Applicants will need to meet the minimum requirements to be considered for the program. Completed applications will be reviewed beginning February 1 . We will continue to receive applications until all positions are filled.

All application materials from international students requiring a US visa must be received prior to April 1 (but sooner is better) in order to allow time for the necessary paperwork to be processed. The visa application process can often take 90 days or more to complete.

How to apply: 

1. Create  an online application

2. Include these documents in your application:

• Three letters of recommendation. The application system will automatically send an email to each of the recommenders with a link to submit their letters. 
• Unofficial copy of transcript (official transcript will be required if you are admitted to the program). 
• GRE general test score
• Statement of purpose/cover letter 
• English Proficiency for international students.

3. Pay the application fee

UC’s CEEB college code is 1833, as established by The College Board . CEEB codes are used to ensure that test scores are sent to the correct institution. 

• More information about submitting your application materials
• FAQs for the admission process

Program Description

The credit-hour requirement includes a minimum of 90 graduate credits beyond the bachelor's degree or a minimum of 60 credits beyond a master's degree, including 7 hours in dissertation research, with a GPA of 3.3 or higher. 

All incoming PhD students are required to take the  qualifying exam before the beginning of their first semester. Students who do not pass this exam at the PhD level are placed in the appropriate 6000 - level courses. The Statistics Qualifying Exam is based on the two two-semester sequences Mathematical Statistics STAT6021-6022 and Applied Statistics STAT6031-6032.

All PhD students must pass the  preliminary examination  by the end of their second year.  The Statistics Preliminary Exam is based on the two courses Linear Models and Multivariate Analysis II STAT 7024 and Statistics Theory STAT 7031.

After the preliminary examinations, an advanced examination in the area of examination of the student is required. An advanced exam may either be a written exam, a presentation or a series of presentations. The exam will be administered by a committee. Generally, this committee will form the students’ dissertation committee.

Visit the curriculum guide to learn more about the required courses. More details concerning the requirements of the program are explained in the Mathematical Sciences Department’s Graduate Handbook . See the course descriptions for information on the content.

About Cincinnati

Cincinnati is a big city with a small-town feel. The cost of living is low, but the quality of life is high.  Forbes named Cincinnati the #5 most affordable city and the #9 best city for raising a family. Cincinnati has ranked the best place to live in Ohio by U.S. News & World Report, also the fourth-best city in the country for parks . UC is home to over 10,500 graduate students, 20% of which are international students.

• Why Cincinnati  
• Estimated living expenses  (for international students)

For further information, please contact the Graduate Program Director, Dr. Robert Buckingham:

• Email: [email protected]
• Phone: 513-556-4085

See the full list of our graduate programs

• Graduate Studies

Ph.D. Program

The PhD program prepares students for research careers in theory and application of probability and statistics in academic and non-academic (e.g., industry, government) settings.  Students might elect to pursue either the general Statistics track of the program (the default), or one of the four specialized tracks that take advantage of UW’s interdisciplinary environment: Statistical Genetics (StatGen), Statistics in the Social Sciences (CSSS), Machine Learning and Big Data (MLBD), and Advanced Data Science (ADS). 

Admission Requirements

For application requirements and procedures, please see the graduate programs applications page .

Recommended Preparation

The Department of Statistics at the University of Washington is committed to providing a world-class education in statistics. As such, having some mathematical background is necessary to complete our core courses. This background includes linear algebra at the level of UW’s MATH 318 or 340, advanced calculus at the level of MATH 327 and 328, and introductory probability at the level of MATH 394 and 395. Real analysis at the level of UW’s MATH 424, 425, and 426 is also helpful, though not required. Descriptions of these courses can be found in the UW Course Catalog . We also recognize that some exceptional candidates will lack the needed mathematical background but succeed in our program. Admission for such applicants will involve a collaborative curriculum design process with the Graduate Program Coordinator to allow them to make up the necessary courses. 

While not a requirement, prior background in computing and data analysis is advantageous for admission to our program. In particular, programming experience at the level of UW’s CSE 142 is expected.  Additionally, our coursework assumes familiarity with a high-level programming language such as R or Python. 

Graduation Requirements 

This is a summary of the department-specific graduation requirements. For additional details on the department-specific requirements, please consult the  Ph.D. Student Handbook .  For previous versions of the Handbook, please contact the Graduate Student Advisor .  In addition, please see also the University-wide requirements at  Instructions, Policies & Procedures for Graduate Students  and  UW Doctoral Degrees .  

General Statistics Track

• Core courses: Advanced statistical theory (STAT 581, STAT 582 and STAT 583), statistical methodology (STAT 570 and STAT 571), statistical computing (STAT 534), and measure theory (either STAT 559 or MATH 574-575-576).  
• Elective courses: A minimum of four approved 500-level classes that form a coherent set, as approved in writing by the Graduate Program Coordinator.  A list of elective courses that have already been pre-approved or pre-denied can be found here .
• M.S. Theory Exam: The syllabus of the exam is available here .
• Research Prelim Exam. Requires enrollment in STAT 572. 
• Consulting.  Requires enrollment in STAT 599. 
• Applied Data Analysis Project.  Requires enrollment in 3 credits of STAT 597. 
• Statistics seminar participation: Students must attend the Statistics Department seminar and enroll in STAT 590 for at least 8 quarters. 
• Teaching requirement: All Ph.D. students must satisfactorily serve as a Teaching Assistant for at least one quarter. 
• General Exam. 
• Dissertation Credits.  A minimum of 27 credits of STAT 800, spread over at least three quarters. 
• Passage of the Dissertation Defense. 

Statistical Genetics (StatGen) Track

Students pursuing the Statistical Genetics (StatGen) Ph.D. track are required to take BIOST/STAT 550 and BIOST/STAT 551, GENOME 562 and GENOME 540 or GENOME 541. These courses may be counted as the four required Ph.D.-level electives. Additionally, students are expected to participate in the Statistical Genetics Seminar (BIOST581) in addition to participating in the statistics seminar (STAT 590). Finally, students in the Statistics Statistical Genetics Ph.D. pathway may take STAT 516-517 instead of STAT 570-571 for their Statistical Methodology core requirement. This is a transcriptable program option, i.e., the fact that the student completed the requirements will be noted in their transcript.

Statistics in the Social Sciences (CSSS) Track

Students in the Statistics in the Social Sciences (CSSS) Ph.D. track  are required to take four numerically graded 500-level courses, including at least two CSSS courses or STAT courses cross-listed with CSSS, and at most two discipline-specific social science courses that together form a coherent program of study. Additionally, students must complete at least three quarters of participation (one credit per quarter) in the CS&SS seminar (CSSS 590). This is not a transcriptable option, i.e., the fact that the student completed the requirements will not be noted in their transcript.

Machine Learning and Big Data Track

Students in the Machine Learning and Big Data (MLBD) Ph.D. track are required to take the following courses: one foundational machine learning course (STAT 535), one advanced machine learning course (either STAT 538 or STAT 548 / CSE 547), one breadth course (either on databases, CSE 544, or data visualization, CSE 512), and one additional elective course (STAT 538, STAT 548, CSE 515, CSE 512, CSE 544 or EE 578). At most two of these four courses may be counted as part of the four required PhD-level electives. Students pursuing this track are not required to take STAT 583 and can use STAT 571 to satisfy the Applied Data Analysis Project requirement. This is not a transcriptable option, i.e., the fact that the student completed the requirements will not be noted in their transcript. 

Advanced Data Science (ADS) Track

Students in the Advanced Data Science (ADS) Ph.D. track are required to take the same coursework as students in the Machine Learning and Big Data track. They are also not required to take STAT 583 and can use STAT 571 to satisfy the Applied Data Analysis Project requirement. The only difference in terms of requirements between the MLBD and the ADS tracks is that students in the ADS track must also register for at least 4 quarters of the weekly eScience Community Seminar (CHEM E 599). Also, unlike the MLBD track, the ADS is a transcriptable program option, i.e., the fact that the student completed the requirements will be noted in their transcript.