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Graduate Certificate of Advanced Study in Biomedical Data Science

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The Graduate Certificate of Advanced Study in Biomedical Data Science (CAS-BDS) is a multidisciplinary, cross-departmental University-wide graduate credential administered jointly by the University of Rochester’s Clinical and Translational Science Institute (CTSI) and the Department of Public Health Sciences that prepares researchers to conduct insightful, applied “big data” analytics for health services, clinical, and public health research. The objectives of the Certificate program are two-fold:

  1. To prepare students to conduct analyses of, and analytics with, large, health-oriented data sets; and,
  2. To provide a mentored, practical team science experience for students addressing a health-related question through data analysis.


The CAS-BDS is centered with a two-semester analytic project around which courses in fundamentals of biomedical data science are arranged. The CAS is applied, designed to give students direct experience with large biomedical data sets, and is oriented toward data and analytic practice.


The CAS-BDS is a stackable data analytic credential suitable for researchers and analysts with biomedical, computer science, statistical, biomedical, or health services backgrounds. The CAS-BDS complements traditional degree preparation with applied experience working with large datasets accessible within the University of Rochester Medical Center, for example secondary use of e-Record(URMC’s installation of EPIC electronic health record), the Finger Lakes Perinatal Data System, and data resulting from ‘omics analyses.

Admission Requirements

Admission to the proposed program will require completion of an undergraduate degree in the biological or social sciences, computer science, or in a clinical discipline with a minimum overall grade point average of at least 3.0. Applicants with previous clinical, hospital, public health, laboratory, or industry experience are strongly encouraged to apply.