• The Master of Science in Health Data Science is designed to provide rigorous quantitative training and the essential statistical and computational skills needed to manage and analyze health science data to address important public health and biomedical problems.
  • The 16-month program combines a strong statistical and computational education to address emerging problems in public health and biomedicine. This training enables students to manage and analyze large noisy data sets and learn to interpret their results.
  • The program offers training in the three main pillars of health informatics: statistics, data processing and health sciences.
  • The MS in Health Data Science is designed as a graduate course in professional education that provides students with important skills for the labor market.
  • At the same time, it provides a strong foundation for students interested in a PhD in biostatistics or other quantitative or computational science with a focus on data science and its applications in health sciences.