MS in Biomedical Data Science

What is Biomedical Data Science?

Biomedical Data Science is the interdisciplinary field that encompasses the study and pursuit of the effective uses of biomedical data, information, and knowledge for scientific inquiry, problem-solving, and decision-making, driven by efforts to improve human health.  Biomedical Data Science investigates and supports reasoning, modeling, simulation, experimentation, and translation across the spectrum, from molecules to individuals to populations.

Who should apply?

Potential students include both students with bachelor’s degrees in an area of data-science (e.g., computer science, statistics), as well as health professionals and clinicians (e.g., M.D.s, Pharm.D.s, D.N.P.s, R.N.s).  It is expected that admitted candidates will have demonstrated an aptitude for computer science and math, fundamental programming skills, knowledge of data structures and algorithms, and at least two semesters of college calculus. We will however consider candidates who have a wide range of undergraduate backgrounds; providing opportunities to develop necessary skills immediately upon entering the program.

The Program

The 31-credit program will cover core concepts, as well as allow for concentrated coursework in both methodology and application.  The goal of the program is to prepare graduates to (i) understand and apply key concepts and methodologies from computer science and statistics, (ii) demonstrate knowledge of biological, biomedical, and population health concepts and problems, and (iii) contribute to the solutions of the central computational problems in biomedicine, using methods from computer science, statistics, and engineering.

Please refer to the Graduate Guide for the most current program requirements

Click HERE to access the Program Handbook.