About the Division of Health Analytics and Outcomes

The Division of Health Analytics and Outcomes, housed within the Department of Family and Community Medicine, is comprised of four academic programs: the dynamic and fast-growing Master of Science in Health Data Science (HDS), a Master of Science in Health Informatics, a Master of Science in Artificial Intelligence in Medicine, and the health outcomes research Ph.D. program.

Students in our academic programs are taught by faculty with backgrounds in health outcomes, epidemiology, biostatistics, behavioral health and data science. Many of our faculty also work with or hold leadership positions in the Advanced HEAlth Data (AHEAD) research institute, which unites SLU researchers from various fields and disciplines to conduct data-driven research to improve patient and population health, advance health care quality and decrease health care costs. This collaboration provides timely, real-world examples that can be incorporated into courses and class discussions, giving students a glimpse into practical applications of their degree.

During their time with us, students learn how to use tools such as predictive modeling and machine learning, R, SAS and others to analyze health care data and make real-world connections to improve the delivery of health care. 

Our HDS students also receive specific health-related training in health services and policy, financing of health care, research methodology, scientific writing, and foundations of medical diagnosis and treatment, along with many other topics. Our graduates gain the competence to synthesize and communicate complicated health data in a meaningful way to make impactful change across health systems.