MS in Health Data Science

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Program Highlights

Health Data Science is a crucial, rapidly growing field, blending biostatistics, programming, and advanced computational and classification algorithms like machine learning to address complex challenges within the biomedical, biobehavioral, public health, and clinical care sectors. The program includes coursework to build essential skills in programming, biostatistics, ML, and AI modeling to wrangle, analyze, and interpret the complex data encountered within biomedical research and healthcare delivery, including structured and unstructured data, intensively collected data, big data, imaging data, omics, and more.

Dartmouth’s Master of Science in Health Data Science equips the next generation of professionals to become leaders within health data science. The program offers a robust, interdisciplinary education focused on theory and application, preparing students for both academia and the private sector. Graduates are prepared to address complex data challenges within the health sciences while understanding the context and implications. They are positioned to instantly collaborate as health data scientists across multiple sectors, including the biotechnology and pharmaceutical industries, the healthcare and behavioral health sectors, government, non-profits, and more.