Decision Sciences 

 Concentration Chair:   Milton Weinstein

Decision sciences are the collection of quantitative techniques that are used for decision-making at the individual and collective level. They include decision analysis, risk analysis, cost-benefit and cost-effectiveness analysis, decision modeling, and behavioral decision theory, as well as parts of operations research, microeconomics, statistical inference, management control, cognitive and social psychology, and computer science. The concentration in decision sciences prepares students for research careers that involve the application of these methods to health problems. Examples of research topics in health decision sciences include:

  • cost-effectiveness analysis of medical technologies and pharmaceuticals
  • optimal screening policies for cancer and other chronic diseases
  • measurement and evaluation of health outcomes, including quality of life
  • policy simulation modeling of diseases such as AIDS, tuberculosis, cancer, and asthma
  • and optimal resource allocation for biomedical research


View Decision Sciences curriculum guide.

View faculty, current students, and graduates affiliated with the concentration.