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Statistics

 

Graduate ProgramThe Department of Biostatistics and Computational Biology in the University of Rochester School of Medicine and Dentistry offers the following graduate programs:

The department 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 theoretical and applied probability, statistical theory and analysis, and biostatistics. 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 doctoral students have several publications underway based on research done in collaboration with faculty members in biostatistics/statistics and in various medical departments.

PhD 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, Florida State University, University of Illinois – Chicago, Johns Hopkins University, Lehigh University, University of Rochester, Rochester Institute of Technology, University of Pittsburgh, Southern Methodist University, other state universities, and numerous companies such as Google, Merck, Novartis, Bayer, AbbVie, DuPont, and Bell Laboratories, and governmental agencies. MA and MS graduates are in various academic programs and in industrial, government, research, and consulting positions.

If you are looking for the Undergraduate Program in Statistics, click here.

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