Spring 2023

Basic introduction focused on the pathways and principles for managing new health technology discovery, funding, development, Food and Drug Administration (FDA) approval, and commercial market launch.

Quantitative methods of evaluating business, policy, pharmaceuticals, medical care resource allocations. Budget Impact Models, Decision Trees, Sensitivity Analysis tradeoffs between treatment strategies, interventions, risks, outcomes.

Critical principles of leadership, communication, best practice marketing presentations, project management techniques, business innovations and strategy. Use of case studies, team projects, real world examples.

Learn methods for working with large health data sets, including developing an analytic plan and selecting an appropriate data source, as well as practical skills needed to manage and use large health data sets to accomplish an analytic goal.

Team projects solving real business problems in the healthcare industry by working directly with an existing company under the supervision of a faculty member.

Part-time or full-time, practical work experience in the student's field of study. The internship must be located at an off-campus facility. Students are individually supervised by faculty. May not be taken until the student has completed at least one full academic year of enrollment in the graduate program with a cumulative 3.0 GPA.

Special topics in Healthcare Decision Analysis.