MS in Statistical Practice

The Master of Science in Statistical Practice is designed for students who want to acquire fundamental training in statistics and how it is applied in fields like economics, education, law, management, science, and social science, to real-world problems. It is suitable for students with backgrounds in fields like biology, bioinformatics, economics, management, neuroscience, psychology, and various areas of engineering.

Learning Outcomes

The learning outcomes for the MS in Statistical Practice (MSSP) program are threefold:

  • Build a solid foundation.
  • Gain practitioner insight.
  • Learn through guided practice.

Course Requirements

In order to complete the Master of Science in Statistical Practice, students must successfully complete eight one-semester courses (32 credits). The specific course requirements are as follows:

  • CAS MA 684 Applied Multiple Regression & Multivariable Methods
  • CAS MA 685 Advanced Topics in Applied Statistical Analysis
  • GRS MA 675 Statistics Practicum 1
  • GRS MA 676 Statistics Practicum 2
  • GRS MA 681 Accelerated Introduction to Statistical Methods for Quantitative Research
  • One statistics elective at the level of 500 or above
  • One 2-semester elective sequence from statistics or a complementary discipline, which must be chosen from the approved list

Language Requirement

There is no foreign language requirement for this degree.

Final Report

In addition to the course requirements above, students must successfully complete a final report about the consulting work that they have carried out as a central component of the Statistics Practicum course, GRS MA 675–676.