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The Master of Science (SM) in Health Data Science offers comprehensive quantitative education, equipping students with vital statistical and computational expertise for handling and interpreting health-related data to tackle critical issues in biomedical and public health fields. This intensive 16-month curriculum combines robust statistical methods with computational techniques to address contemporary challenges in healthcare research. Graduates will gain proficiency in processing and analyzing complex, large-scale datasets while developing skills to derive meaningful insights. The program focuses on three core components of health data science: statistical methods, computational tools, and health science applications. Designed as a career-oriented professional degree, the SM in Health Data Science prepares graduates for immediate workforce entry while also establishing a solid base for those pursuing doctoral studies in biostatistics or related quantitative/computational disciplines with a focus on health data applications.