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 three-fold:
- 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:
- GRS MA 675 Statistics Practicum 1
- GRS MA 676 Statistics Practicum 2
- GRS MA 677 Conceptual Foundations of Statistics
- GRS MA 678 Applied Statistical Modeling
- GRS MA 679 Applied Statistical Machine Learning
- 1 Statistics elective at the level of 500 or above, excluding GRS MA 681, 684, and 685
- 1 Two-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.
