Your courses will consist of theoretical foundations, statistical inference and generalized linear models, causal inference, survey research methods, multilevel modeling, applied statistics electives, and a small number of unrestricted electives. Data analysis projects will prepare you to undertake research and make data-based decisions and assessments. 

You will choose course work that prepares you for your career, with specific credits dedicated to thematic concentrations in Computational Methods, Data Science for Social Impact, or General Applied Statistics. 

You will be able to apply the skills you learn to address policy issues and social problems through an internship and the consulting research seminar. You also will work closely with faculty on research projects.

Our faculty members have worked in policy and advocacy organizations in fields including public health, politics, psychology and psychometrics, demography, sociology, labor markets, and education.