Master of Public Health


Students have the opportunity to personalize their experience by choosing a concentration in which to focus their studies. 

Epidemiology and Global Health

Epidemiology is the study of the distribution and determinants of health states and diseases in populations. Epidemiology is fundamentally quantitative. Students will learn how to measure and describe health globally, to evaluate and interpret epidemiological research, and to design and implement epidemiologic studies. Coursework includes the application of biostatistical methods to analyze data and ethical considerations in human subject research. The curriculum covers the impact of systemic factors, including social, environmental, and structural determinants of population health, locally and globally. 

Health Policy

The health policy concentration focuses on the ability to understand, critically evaluate, and develop health policies that promote access, quality, efficiency, and equity in our public health and health care systems. The curriculum provides training in the economics of healthcare supply and demand as a framework for approaching challenges in health care policy and practice. Using the tools of econometrics and statistics acquired during the program, students will be prepared to design, implement, and evaluate empirical health policy studies that can lead to more informed, evidence-based policies.

Data Science

Data Science combines statistical and algorithmic methods to visualize and analyze data.  Data Science is interdisciplinary in its development and application of quantitative methods.  Students will learn how to define, collect, and analyze public health data using appropriate quantitative analyses. Coursework includes biostatistics, machine learning, and computer programming to answer public health questions and visualize and summarize results.  The curriculum covers statistical analysis of different types of health outcomes, use of machine learning classification analyses to uncover relationships among study features, and training in developing computer code to carry out such analyses.