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Graduate Programs

The Department of Biostatistics and Computational Biology at the University of Rochester has a long record of excellence in methodologic and collaborative research and in the education of professionals in and users of statistics. Our unique graduate program is located within a School of Medicine environment and provides many opportunities for stimulating interaction with applied research. Department faculty participate fully in graduate teaching and individual attention is given to each student through intensive advising, extensive small seminars, and research collaboration.

Applications for all graduate programs in the Department of Biostatistics and Computational Biology are accepted for matriculation in the Fall semester only. New students cannot start the PhD, Master of Arts, or Master of Science degree programs in the Spring.

For more information about admissions, visit our Ph.D. Program and Master's Programs admission pages or contact us.

How to Apply                Final Application Deadlines: PhD = December 15, 2024 | Master's = May 1, 2025

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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 & Computational Biology

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