MS in Statistics
The Master of Science in Statistics degree program provides advanced training in the fundamental aspects of statistics and probability and in their applications to a broad range of disciplines. This program prepares students for positions in education, government agencies, industry, or nonprofit institutions, or for further graduate study leading to a PhD degree. To enter, students need a bachelor’s degree in mathematics, statistics, or a closely related discipline.
Learning Outcomes
Students graduating with an MS in Statistics are expected to:
- Demonstrate an understanding of probability theory, statistics, and stochastic processes.
- Demonstrate the ability to apply linear and generalized linear models to real data sets and interpret the results.
- Demonstrate knowledge over a range of topics selected from probability theory, statistical methods, or computation.
Course Requirements
Eight term courses (32 units) approved for graduate study are required. The following core courses are required:
- CAS MA 575 Linear Models
- CAS MA 576 Generalized Linear Models
- CAS MA 581 Probability
- CAS MA 582 Mathematical Statistics
- CAS MA 583 Introduction to Stochastic Processes
The remaining three courses should constitute a coherent program relevant to the objectives of the student. Ordinarily, all courses are in probability and statistics or mathematics. However, students may petition the departmental graduate committee to use courses from other departments to partially satisfy this requirement.
Language Requirement
There is no foreign language requirement for this degree.
Core Competency Requirement
Students in the MS in Statistics program must demonstrate competency in probability, statistical theory, and applied statistics. Prior to the 2025/2026 academic year, they are required to do so by passing the MA Comprehensive Exams. For students who start the program in or after the fall term of 2026, the core competency requirement is satisfied by taking and earning passing grades in all master’s core courses.
Admissions Information
Please visit the Arts & Sciences website.

