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.

• Designed for All Backgrounds – Our program welcomes students from diverse academic and professional backgrounds who are passionate about learning. There are no specific undergraduate degree requirements. Although not required, this program suggests familiarity in: Computer Programming, and Statistics.
• Foundational Training Built In – Gain the essential quantitative and technical skills you need with our targeted coursework, designed to set you up for success.
• Supportive Learning Environment – We bridge the gap for those new to quantitative fields, ensuring you have the tools and confidence to thrive.
• Inclusive & Accessible – Whether you come from social sciences, humanities, or business, our curriculum is structured to help you excel in data-driven fields.

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.