MPH in Epidemiology (Global Health track)


The Department of Epidemiology offers an International Health Track in its MPH program that is designed for those who intend to pursue careers concentrating on health in developing countries, including research into the causes and preventative factors for disease or program evaluation. The Epidemiology Global Health Track MPH curriculum differs from the Global Health Department MPH degrees in that it focuses on epidemiologic methods, statistical analysis, determinants of health, and disease etiology, in addition to training in program development and policy analysis.


The most important admissions criterion is substantial (approximately 2 years) health sciences work experience in a developing country, although work with underserved or immigrant populations in the US may substitute for part of the 2 years. 

Application Deadline:  Dec. 1 for Autumn Quarter admissions, or for Summer Quarter admissions for postdoc fellows or concurrent MDs


Upon satisfactory completion of the MPH in Epidemiology, Global Health 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;
  • Describe the major influences on health in resource-poor settings and outline differences and similarities to Western settings;
  • Describe the epidemiology of diseases of greatest burden in resource-poor settings and determine how social and economic development influences these diseases;
  • Identify and interpret risk factors for diseases that are unique to resource-poor settings, including poverty, inequality, gender, and sociocultural characteristics of communities;
  • Develop strategies to overcome the unique challenges of study design and data collection in resource-poor settings;
  • Use quantitative and/or qualitative skills to assess effectiveness of health interventions in resource-poor settings; and
  • Incorporate rigorous epidemiologic study designs in program evaluation and implementation science in resource-poor settings.