PhD Degree Programs

Epidemiology and Clinical Research

PhD in Epidemiology and Clinical Research
The PhD program in Epidemiology and Clinical Research provides methodologic and interdisciplinary training that prepares students to carry out cutting-edge clinical, translational, and population-based epidemiologic research.  The program distinguishes itself from other PhD programs in epidemiology and clinical/translational research by drawing on Stanford’s unique strengths in statistics, biology, computer science, genetics/genomics, and bioinformatics.

Health Services Research

PhD in Health Policy
Stanford Health Policy, through the Department of Health Research and Policy at the Stanford University School of Medicine, offers a PhD program which promises to educate students who will be scholarly leaders in the field of health policy, and will be highly knowledgeable about the theoretical and empirical approaches that can be applied in the development of improvements in health policy and the health care system. The curriculum offers courses across a wide range of health policy areas including health economics, health insurance and government program operation, health financing, international health policy and economic development, cost-effectiveness analysis and the evaluation of new technologies, relevant statistical and methodological approaches, and health policy issues related to public health concerns like obesity and chronic disease. In addition to taking a set of core courses, students are expected to complete coursework in one of two tracks: 

  1. Health Economics - including the economic behavior of individuals, providers, insurers, and governments and how their actions affect health and medical care.
  2. Decision Sciences - with quantitative techniques to assess the effectiveness and value of medical treatments and for decision making about medical care at the individual and/or collective level.

Biomedical informatics

PhD in Biomedical informatics

This interdisciplinary field that combines ideas from computer science and quantitative disciplines (statistics, data science, decision science) to solving challenging problems in biology and medicine. Applicants enter our program with many different backgrounds, so the program is designed to be flexible. Training in informatics and biocomputation is also available through other departments at Stanford, such as Bioengineering, Computer Science, Statistics, and Genetics.


PhD Training for Personalized Medicine
Scholars in this program will help define the statistical foundation for this emerging field, developing the tools and methodologies for collecting, organizing and interpreting the vast amounts of health data being generated in all corners of our society.