The Health Analytics programme at Northwestern University builds practical data-science skills for solving real healthcare problems, using a curriculum informed by expertise from leading medical and healthcare partners.You’ll learn how to work with healthcare data end-to-end—from governance and data preparation to machine learning, visualization, and analytics leadership.
The Health Analytics program at Northwestern University equips students with essential data-science skills aimed at addressing real-world healthcare challenges. The curriculum is designed with insights from leading medical and healthcare partners, ensuring practical relevance and application.
Students will gain expertise in managing healthcare data through every stage—from governance and data preparation to advanced machine learning, data visualization, and analytics leadership.
Core coursework encompasses the entire analytics workflow, providing a comprehensive foundation in health data analytics.
Capstone / applied project: Many health analytics programs include an applied project or culminating experience. Specific requirements, such as capstone, practicum, or thesis, should be confirmed with the university.
There are no known specific GRE, GMAT, or GPA requirements for admission to the program. Candidates should verify any updated guidelines directly with the university.
English language requirements: Applicants whose first language is not English must demonstrate proficiency through standardized tests such as TOEFL or IELTS.
Graduates of the Health Analytics program are well-prepared for a variety of roles within the healthcare sector, leveraging their analytical skills to make data-driven decisions. Career opportunities may include positions in health data analysis, healthcare consulting, policy-making, and leadership roles in health organizations.
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