University of Kansas School of Medicine

What you'll study

Students build practical skills in statistical and computational methods for real-world data problems. The programme offers three areas of emphasis:

• Analytics Emphasis — experience working with and analysing large datasets using common statistical software tools.
• Statistics Emphasis — hands-on statistical computing tied to methods used in industry and government.
• Data Science Emphasis — statistical and computational techniques for acquiring and analysing Big Data.

Entry requirements

The programme is open to applicants who demonstrate strong mathematical ability; prior coursework specifically in statistics is not required. Applications are accepted for summer, fall and spring terms (deadlines: May 1 for summer, August 1 for fall, January 1 for spring).

Career prospects

Graduates enter roles in data analytics, statistics and data science across sectors such as healthcare, public policy, environmental science, business and public relations. The programme notes strong workforce demand: statistics-related occupations (including data analytics) are projected by the Bureau of Labor Statistics to grow substantially by 2031.

Scholarships & funding angle (general)

As a professional, fully online master's, funding options may include employer support, federal student aid where eligible, and university scholarships or assistantships; prospective students should consult the program admissions pages for current funding information.