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The Department of Biostatistics and Computational Biology at the University of Rochester focuses on teaching and research in statistical theory and methods with applications in health sciences. Our distinctive graduate program, situated within a School of Medicine setting, offers abundant opportunities for engaging collaborations in applied research.
The department takes an expansive view of statistics, offering specializations in probability, statistical theory, biostatistics, and interdisciplinary applications. Faculty members are deeply involved in graduate education, providing personalized mentorship through close advising, small seminars, and joint research projects. Students gain hands-on experience through supervised teaching and statistical consulting roles. Many PhD candidates have multiple publications in progress before graduation, stemming from collaborative work with faculty in biostatistics/statistics and medical departments.
The Master of Arts (MA) in Statistics program requires 32 credits and a final comprehensive exam, with no thesis obligation. At least 24 credits must come from departmental courses at the 400 level or higher.
MA students typically follow a three-semester sequence of PhD-level courses (three courses in Semester 1, three in Semester 2, and two in Semester 3), though an accelerated two-semester option (four courses per term) is available. Each student develops an individualized plan with their advisor. The comprehensive exam occurs during the summer after the first year.
Admission requirements for the MA program mirror those of the PhD program. Prospective students should possess substantial mathematical preparation, including multivariable calculus, linear/matrix algebra, and a year of probability and mathematical statistics. While not mandatory, coursework in real analysis and statistical methods is strongly encouraged.