Master of Science in Healthcare Data Analytics (12 Courses)
The MS in Healthcare Data Analytics program combines healthcare management courses with courses in data acquisition and mining, data analytics, business intelligence and statistics — all in the context of healthcare. Students will acquire practical, marketable skills as they gain an understanding of how to obtain, interpret and communicate healthcare data to shape the direction of the healthcare industry.
The program offers a combination of theory and hands-on experience. Courses are taught by a mix of full-time faculty and experts in the field who will provide insights from provider, payer and consumer perspectives.
The online, 12-course program can be completed within one year. Courses will be offered online, with two onsite residency sessions, three days each, at the beginning and end of the program.
Preliminary Courses (2):
Mathematics of Management
Introduction to Probability
Many students complete the preliminary courses as part of their undergraduate study. Transcripts will be evaluated and
preliminary courses may be waived based on educational background. For students who need to complete the preliminary
courses, these courses are offered online, on demand and at no cost. Students may begin the MS program
before completing the preliminary courses. They may take the preliminary courses while taking the MS courses.
Required Core Courses (9):
Introduction to Healthcare Systems
Healthcare Leadership Proseminar*
Healthcare Accounting and Finance
Data Analytics and Business Intelligence
Advanced Application of Healthcare Data Analytics (Health Capstone)*
Statistical Foundations of Data Analytics
Advanced Statistics and Data Visualization
Elective Courses (3):
Healthcare Operations Research
*Notice on course delivery options: Online students participate in two on-site sessions. Each session is three-days long and fulfills one course requirement.
Two sessions scheduled: one in late summer and one in early spring.