Program Director: M. Pérez Losada
The master of science in health data science program positions graduates to be leaders and practitioners in public health and medicine. The program equips students with the advanced analytical and computational skills necessary to harness data to improve health outcomes. It emphasizes the integration of data science with health sciences, enabling students to apply cutting-edge methodologies and software architectures to complex health-related challenges. In addition to fostering critical and innovative thinking, the program cultivates a commitment to advancing public health and healthcare systems through data-driven insights and solutions, qualities essential for future leaders in health data science. The program prepares students for work as data analysts, informaticians, or software developers with opportunities in governmental, academic, and private sector settings. Graduates are primed to pursue independent doctoral-level research at leading programs in bioinformatics and computational biology. Through this research, students gain an understanding of the risk factors for chronic diseases, such as cancer, and how infectious diseases, such as Zika, Ebola, HIV/AIDS, and COVID-19 spread and evolve.
Visit the program website for additional information.