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Statistics Program

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The Department of Biostatistics and Computational Biology at the University of Rochester conducts teaching and research in statistical methodology oriented toward the health sciences, and in statistical theory and stochastic modeling growing out of research in the health sciences. Our unique graduate program is located within a School of Medicine environment and provides many opportunities for stimulating interaction with applied research.

The department interprets the term "statistics" very broadly, with specialization available in probability, statistical theory and analysis, biostatistics, and interdisciplinary areas of application. Department faculty participate fully in graduate teaching and individual attention is given to each student through intensive advising, extensive small seminars, and research collaboration. Students have opportunities for supervised teaching and statistical consulting experience. Prior to completing their degrees, most Ph.D. students have several publications underway based on research done in collaboration with faculty members in biostatistics/statistics and in various medical departments.

Ph.D. program graduates have found employment at Georgetown University, State University of New York at Buffalo, Carnegie Mellon University, Case Western Reserve University, Harvard University, Emory University, University of Florida, University of Illinois - Chicago, Johns Hopkins University, Lehigh University, Medical University of South Carolina, University of Rochester, Rochester Institute of Technology, University of Pittsburgh, Southern Methodist University, other state universities, numerous companies such as Google, Merck, Novartis, AbbVie, DuPont, and Bell Laboratories, and governmental agencies. M.A. and M.S. graduates are in various academic programs and in industrial, government, research, and consulting positions.

If you are looking for the Undergraduate Program in Statistics, please visit the School of Arts and Sciences.

Our Program by the Numbers

25

Doctoral Students

16

Program Faculty

5

Year average time for Ph.D. completion

100 %

Job placement for Ph.D. graduates over the past 10 years

What Sets Us Apart

Program Highlights

From our highly skilled mentoring faculty to the Bioinformatics and Computational Biology Track, see what sets our program apart

Curriculum

Details of class schedules and full course descriptions can be found on our curriculum page

Mentor Relationships

Our students most commonly reference the personal relationships and valuable mentoring they receive as one of the top reasons why they would recommend URMC

Degree Programs

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Ph.D. in Statistics

The Ph.D. in Statistics program offers students a thorough grounding in statistical theory, which provides the necessary foundation for the successful conduct of research in statistical methodology.


 

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Ph.D. in Statistics with Concentration in Bioinformatics and Computational Biology

The Ph.D. in Statistics with Concentration in Bioinformatics and Computational Biology was established in 2013 and is designed to educate the next generation of biostatisticians with the knowledge required to address critical scientific and public health questions.

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Master of Arts in Statistics

The M.A. in Statistics program is designed for students seeking preparation for a Ph.D. program or work as a Master’s-level statistician.
 

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Master of Science in Biostatistics

The M.S. in Biostatistics program is primarily intended for students who wish to follow careers in health-related professions such as those in the pharmaceutical industry and biomedical or clinical research organizations.

What Our Students Say

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“I chose UR because I am excited by the opportunities available to students both during the program and after completing the program. Graduates from UR have gone on to do wildly different things in academia and industry. It is exciting to have every opportunity available to you, and UR certainly offers that in an environment that supports you in whatever path you choose to take.” 

“My favorite things about the program are the people I get to be surrounded by. My classmates are all brilliant and kind people that are a joy to learn alongside. The faculty have a wide range of research interests, which gives students the opportunity to truly carve out the career they want and are devoted to helping students do so.”

Luke McHan, Statistics PhD student

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