Statistics, PhD

This is the first version of the 2024–25 General Catalog. Please check back regularly for changes. The final edition and the historical PDF will be published during the fall semester.

Learning Outcomes

Graduates will be able to:

  • have a solid understanding of the mathematical and statistical theory that underlies statistical methods;
  • conduct literature reviews to summarize the state of the art for specific theoretical and applied topics;
  • formulate, implement, and assess appropriate statistical models for analyzing data;
  • identify limitations of existing methods and independently develop and assess novel methods (e.g., for analyzing new types of data);
  • appreciate the issues of uncertainty, reproducibility, and computability in data analysis;
  • collaborate with non-statisticians to help collect and analyze data; and
  • acquire effective communication skills for disseminating statistical findings.