Statistics, PhD

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.