MPH in Global Health: Health Metrics and Evaluation


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.

Likely Careers

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


Upon satisfactory completion of the MPH in Global Health, HME track, graduates will be able to:

  • Meet the generic SPH learning objectives for the MPH degree;
  • Meet the Core-Specific Learning Objectives for all MPH students;
  • Meet the generic learning objectives of the DGH core curriculum:
    • Describe the most common causes of morbidity and mortality globally, both communicable and non-communicable, among newborns, children, adolescents, women, and men and apply this knowledge in the design, implementation, or evaluation of health services or programs;
    • Describe the major components of health information systems (e.g., surveillance, national registries, surveys, administrative data) and some of the uses, challenges and limitations of gathering and using health statistics;
    • Analyze the role of leading factors, institutions and policy frameworks in shaping the organization and governance of international health since the mid-20th century;
    • Analyze how historical, political, and economic factors have and are shaping, maintaining and reforming health and health care systems;
    • Apply scientific methods to plan, scale up and/or evaluate interventions to improve determinants of health and health systems;
    • Discuss the major causes of disease burden, the pattern and variability in health issues around the globe, as well as think critically about the magnitude and complex nature of global health challenges and ways to address them;
    • Identify and describe the world's most significant diseases, injuries and risk factors, including their causes, symptoms, treatment, prevention, and associated risk factors;
    • Elaborate on specific topics such as: defining and quantifying health, measuring mortality and trends in adult and child mortality, diseases and risk factors in populations, the epidemiological transition, health inequalities, framework for health systems performance assessment, financing of health care;
    • Compare and contrast the health status of different populations with respect to their disease burden, epidemics, human resources for health, organization and quality of health care delivery, health reforms;
    • Describe the rationale, conceptual and historical basis of population health measurement;
    • Critically examine different measures of population health and health system performance;
    • Compare and contrast the main sources of information on population health and health system performance;
    • Apply and develop statistical methods and analytic techniques;
    • Demonstrate proficiency in at least two statistical packages, e.g. STATA, R, etc.;
    • Demonstrate proficiency in analyzing large survey datasets and compute quantities of interest while taking into consideration complex sampling frames;
    • Exhibit knowledge and technical acumen of a number of statistical models including, but not limited to: linear regression, logic and profit models, count models, hierarchical models;
    • Calculate and interpret important health statistics such as disease incidence and prevalence, maternal mortality rates and ratios, disability‐adjusted life years, attributable burden, and avoidable risk;
    • Analyze systematically the evidence presented in published research on global health problems, potential solutions, system barriers and political/economic dimensions, using appropriate techniques and methods;
    • Describe and explain the use of health metrics in health policy, planning and priority setting;
    • State and interpret the concepts and steps in designing impact evaluation studies;
    • Describe and critique select high‐profiled impact evaluation studies in global health;
    • Apply appropriate methods to control for confounding in evaluation studies;
    • Demonstrate ability to implement statistical methods used in evaluation studies including various types of matching, instrumental variables and panel regression;
    • Distinguish between the various types of evaluation studies and recognize the circumstances that they should be used in;
    • Describe the key steps in survey design, list the main types of surveys and distinguish the advantages and disadvantages of each one. Categorize the bias present in available data sources for evaluation studies and demonstrate ability to correct for it using statistical techniques;
    • Demonstrate ability to communicate effectively in oral and written format, and to lay and professional audiences;
    • Use appropriately on‐line resources to perform comprehensive literature reviews;
    • Demonstrate ability to organize and construct grant proposals and scientific papers; and
    • Critique journal articles.