Welcome to the HDSI MSDS Graduate Program!
The goal of this master’s program is to teach students knowledge and skills required to be successful at performing data driven tasks, and lay the foundation for future researchers who can expand the boundaries of knowledge in Data Science itself. To meet its goals, the Master of Science in Data Science (MSDS) program consists of two components: formal courses, and degree completion choices between a thesis or comprehensive examinations.
The Master of Science in Data Science’s formal courses are structured as a total of twelve (12) 4-unit courses grouped into: Foundational (Group A), Core (Group B), and Elective requirements (Group C). These course requirements are intended to ensure that students are exposed to( A) fundamental concepts and tools (B) advanced, up-to-date views in topics central to Data Science for all students and (C) a deep understanding of current research or applications in Data Science.