Curriculum - Master's in Global Health Policy and Management

The Master of Science program in Global Health Policy and Management (GHPM) curriculum provides students with a specialized set of theoretical, economic and statistical frameworks and professional skills in health economics, and analytics — tools that will maximize their impact in global health policymaking. An academically intensive degree, it requires 36 credits taken in nine months over two semesters. The skills you acquire in the program will prepare you in three main areas:

Learning the financing and payment systems involved in health systems strengthening
Developing the analytical skills that form the heart of any health system and using them to develop policy
Learning how to implement policies in real-life situations

Course Sequence

GHPM program leadership and faculty regularly examine and review our curriculum to ensure that it reflects global health policy today and prepares students for the future of the field. Therefore, please note that the curriculum outlined below is subject to change. Note also that not all courses are offered every semester or every year.

Health Economics and Analytics (STEM) Concentration

Fall

HS 236a, International Health Systems and Development (4 credits)
HS 402f, Research Methods (2 credits)
BUS 211a, Foundations of Data Analytics (4 credits)
BUS 215f, Python and Applications to Business/Health Analytics (2 credits)
ECON 210a, Introduction to Probability and Statistics for Business and Economics (4 credits)
Students may contact the Program Administrator Evie Sessions with specific questions about electives.

Spring

HS 305a, International Health Economics (4 credits)
HS 372b, Economic Theory and Social Policy (4 credits)
ECON 213a, Applied Econometrics with R (4 credits)
Students may contact the Program Administrator Evie Sessions with specific questions about electives.

Directed Electives for Data Analytics Track

HS 256f, Healthcare Analytics and Data Mining (2 credits)
HS339f, Advanced Topics in Healthcare Analytics and Data Mining (2 credits)

Directed Elective for Policy Analysis Track

HS 532b, Social Policy Analysis: Technique and Application (4 credits)

Electives

HS341a, Public Finance (4 credits)
HS 422f, Cost-Effectiveness (2 credits)
BUS 216f, Python and Applications to Business Analytics II (2 credits)
BUS 243a, Introduction to Natural Language Processing (4 credits)
BUS 272a, Operations Management (4 credits)
BUS 240f, Information Visualization (2 credits)
BUS/FIN 241a, Machine Learning and Data Analysis for Business, Policy, and Finance (4 credits)
FIN 203a, Financial Management (4 credits)
FIN 212a, Financial Accounting (4 credits)

Availability of Electives

Please note, though many of the electives listed above are specific to the MS GHPM program, others are offered by other programs at the Heller School or at Brandeis. Course availability is subject to change; many elective courses are not offered every semester, and some are not offered every year. For the most up-to-date information regarding course schedule and availability, please visit Course Descriptions.