The M.Sc. in Health Data Science at Duke University trains you to use statistics, programming, and data-driven methods to solve real healthcare problems. You’ll build skills for analyzing complex biomedical and clinical datasets and communicating results to scientific and healthcare stakeholders.
The M.Sc. in Health Data Science at Duke University prepares students to leverage statistics, programming, and data-driven methodologies to address real-world healthcare challenges. This program develops essential skills for analyzing intricate biomedical and clinical datasets and effectively communicating findings to both scientific and healthcare stakeholders.
The curriculum for the M.Sc. in Health Data Science integrates core courses focused on statistical science and computing with a variety of electives that allow you to customize your learning experience in health and biomedical data analysis.
Students typically complete a culminating academic requirement, such as a capstone project or thesis, as outlined by program and departmental guidelines. It is advisable to confirm the specific requirements with the program office.
Note: Minimums and test requirements are subject to change. Always verify the latest requirements on Duke’s official graduate admissions pages for the term you plan to apply to.
Graduates of the M.Sc. in Health Data Science are well-equipped to pursue various career opportunities within the healthcare sector, including roles in data analysis, biostatistics, health informatics, and research. The demand for skilled professionals in health data science continues to grow, providing ample job prospects in public health organizations, healthcare institutions, and research facilities.
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