• The 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 them to undertake research and make data-based decisions and assessments. 
  • Students will choose coursework that prepares them for their career, with specific credits dedicated to thematic concentrations in Computational Methods, Data Science for Social Impact, or General Applied Statistics.