At a time when the explosive growth of biomedical data is presenting new opportunities, hopes—and challenges—for improving human health through precision treatments, the healthcare industry needs highly skilled biomedical data scientists to unlock the possibilities within this growing body of information.
The Master of Science in Biomedical Data Science (MSBDS) program at the Icahn School of Medicine at Mount Sinai integrates training and education in various aspects of biomedical sciences with machine learning, computer systems, and big data analysis, as well as access to large electronic medical record-linked biomedical repositories. Housed within the Graduate School of Biomedical Sciences, our Program offers a unique opportunity for students with a strong quantitative background to hone the skills necessary to enrich—and ultimately to lead—the biomedical workforce of tomorrow.
For years, the Graduate School of Biomedical Sciences has been nurturing an interdisciplinary culture to further advance this field. Our faculty includes numerous biomedical data scientists in the areas of computational genomics; computational biophysics; systems pharmacology; biomedical engineering; imaging and visualization; biostatistics; clinical epidemiology; clinical trials; environmental medicine; public health; health systems design; and health information technology. In addition, the Biomedical Data Science Initiative at the School organizes research and educational endeavors in biomedical data science across various departments and institutes. Mount Sinai also offers several in-house opportunities for career development in biomedical data science, including – but not limited to – Sema4, a for-profit health information company aiming to revolutionize clinical diagnostics, and the Institute for Next Generation Healthcare, which offers a new model of biomedical research and market delivery through the creation of a technology-enabled platform.
Our curriculum provides rigorous training in both biomedical sciences, through an intensive semester-long core course, and quantitative data analysis, through innovative required and elective courses. The 30-credit MBDS program consists of three core options (Biomedical Sciences; Systems Biomedicine; or Principles of Neural Science, Behavior, and Brain Pathophysiology), three required additional courses, two mandatory training sessions in research conduct and rigor, electives, and a capstone research project. Electives can include choices in our exciting biomedical innovation and entrepreneurship curriculum. Our goal is to motivate students to devise innovative approaches to challenging biomedical problems in order to revolutionize personalized medicine and healthcare.
Icahn School of Medicine at Mount Sinai is committed to improving diversity among our students, trainees and faculty; Individuals from underrepresented groups in science are particularly encouraged to apply.
MS in Biomedical Data Science Toolkit
If you are an advisor, department chair, or faculty member interested in providing more information on this program, download our toolkit of information for prospective students.