The Health Metrics and Evaluation (HME) Track is designed for individuals with demonstrated quantitative skills who intend to pursue careers at the national and international level in quantitative research, methods and modeling development, survey design and analysis, health system and program evaluation, policy analysis, or academia.The HME Track curriculum follows the established MPH core requirement model while incorporating a set of methodological and analytical courses from a variety of quantitative disciplines.
The HME Track is designed for students who envision careers requiring an array of competencies to work among multiple agencies involved in global health, including ministries of health, non-governmental organizations, and academic institutions.
Competitive applicants may be recent college graduates, and must have strong quantitative skills as demonstrated through undergraduate courses or research. Although it is expected that most applicants to this track will have had some experience in low-resource settings, substantial low/middle-income country work experience is not an entry requirement.
Concurrent Option: MPH/MD, MPH/MAIS, MPH/MN, MPH/MPA, MPH/MSW, MPH/JD, MPH/PhD with Anthropology
Application Deadline: Dec. 1 for Autumn Quarter entry
In addition to the MPH Common Core competencies and coursework, the Health Metrics and Evaluation Track has five discrete competencies. Students will meet these competencies through Health Metrics Track required coursework, a practicum, and thesis or capstone project.
Health Metrics and Evaluation Track competencies:
- Describe the rationale and the conceptual and historical basis of population health measurement.
- Compare the main sources of data on population health and health system performance, and discuss their strengths and weaknesses.
- Define and discuss key metrics from the Global Burden of Disease project, including years of life lost, years lived with disability, disability-adjusted life years, and health care utilization measures.
- Analyze the gaps in our empirical understanding of a given driver of health and propose an evidence-based and innovative solution to reduce its impact.
- Explain and critique the complex quantitative methods used in the assessment of burden of disease, disease trends, and disparities across different groups, times, and locations.