Degree Requirements
This program is designed for individuals seeking advanced training in health economics, policy analysis, and applied data analysis. The program prepares students for research careers or doctoral study in health economics, public policy, or related fields, as well as career opportunities in government, industry, and consulting. Students complete a rigorous curriculum that combines economic modeling, policy analysis, and data science methods, culminating in a research thesis that connects theory to practice.
This sample curriculum provides an overview of the courses that students take.
Course Requirements
The course of study comprises 43 credits, including a master’s capstone apprenticeship and thesis, and is designed to be completed full-time over four semesters in person.
Sample Curriculum Checklist
Fall Year 1 (16 credits)
- Issues & Approaches in HPM
- Intro to Health Economics
- Biostatistical Methods
- Analysis of Large-Scale Data
- Data Science I
- Health Economics & Policy Seminar
Spring Year 1 (16 credits)
- Cross-National Health Policy
- Advanced Health Economics
- Empirical Analysis for Health Policy
- Decision Analysis
- Data Science II
- Health Economics & Policy Seminar
Semester 3 (Fall Year 2) (10 credits)
- Health Policy & Political Analysis
- Advanced Research Methods
- Environmental Economics
- Behavioral Insights
- Health Economics & Policy Seminar
- Thesis & Research Apprenticeship
Semester 4 (Spring Year 2) (1 credit)
- Health Economics & Policy Seminar
- Thesis & Research Apprenticeship