University of Kansas School of Medicine

What you'll study

The program focuses on preparing students to track, manage, analyze and interpret high-volume health data, including increasingly frequent and reliable data from new sensor technologies. Core training targets applied biostatistics and computing competencies for interdisciplinary research and healthcare analytics rather than purely theoretical study. The degree is structured as a 36-hour master's plan of study.

Entry requirements

Admissions information and the curriculum are managed through the KU Catalog; the program is intended for applicants prepared for graduate-level work in health data science and informatics. Application deadlines are May 1 for Summer, August 1 for Fall, and January 1 for Spring; apply online.

Career prospects

Graduates are prepared for immediate entry into the healthcare analytics workforce. Typical employment venues include academia, government, hospitals, biotechnology firms, insurance companies, pharmaceutical companies and consulting. The degree targets roles described broadly as data scientist and other analytics positions across health sectors.

Scholarships & funding angle

KU lists graduate research assistantships and alumni resources; prospective students should consult the program admissions pages and KU Catalog for specific funding and assistantship opportunities. The program’s flexible delivery is intended to serve both full-time students and working professionals evaluating employer support or graduate assistantship options.