Health Data Science MS

Data science plays a fundamental role in health sciences research: Learning from data is at the core of how we make advances in health research. Data science methods and tools are needed to deal with the expanding role of precision medicine, the widespread analyses of electronic health records, and the growing number of large and complex datasets. 

The Master of Science (MS) Degree in Health Data Science (MiHDaS) is a two-year program in which students learn to apply data science, biostatistics, machine learning, and epidemiological thinking in clinical research settings.

The program is intended for:

  • Quantitative science learners interested in studying data science with a focus on biomedical applications.
  • Numerically able biomedical scientists interested in applying data science methods in clinical, epidemiological and biological sciences.

We also offer a one-year certificate program (CiHDaS), with condensed coursework and absent teaching and hands on capstone project experience, best suited for those already working in the biomedical or pharmaceutical industries.


The primary teaching faculty in the program are data scientists, biostatisticians, and epidemiologists in the Department of Epidemiology and Biostatistics. The department has over 60 primary faculty members and 84 affiliated faculty from other UCSF departments as well as from other institutions and organizations throughout the San Francisco Bay Area and the around the country. Affiliated faculty are associated with departments including general and internal medicine, cardiovascular medicine, pediatrics, psychiatry, obstetrics and gynecology, neurology, nursing, clinical pharmacy, biopharmaceutical sciences, radiology, and dentistry.

The Health Data Science MS program is offered by the UCSF Graduate Division. The program is administered by the UCSF Department of Epidemiology & Biostatistics and delivered by faculty members in the Department of Epidemiology & Biostatistics.


Program Manager
Eva Wong-Moy

Program Director
John Kornak, PhD