Probability and Statistics
The Master of Science (MS) in Mathematics degree with a concentration in Probability and Statistics offers students an initial program of courses in probability, statistical methods, statistical theory and optimal decisions.
After completing this program, students have two directions of study available: applied statistics and theoretical statistics. Students are encouraged to become familiar with areas of the natural sciences, engineering, or social sciences for statistical applications. This program lays the foundation for doctoral work.
The student must fulfill the Graduate College requirements specified in the
Graduate College catalog as well as departmental requirements detailed in the
MSCS Graduate Handbook
which includes:
- Core courses (12 credit hours)
- Stat 401 (Introduction to Probability)
- Stat 411 (Statistical Theory)
- One course selected from: Stat 431 (Introduction to Survey Sampling), Stat 461 (Applied Probability Models I), Stat 471 (Linear and Non-Linear Programming), Stat 477 (Introduction to Reliability Theory), Stat 481 (Applied Statistical Methods II).
- Departmental 500 level courses completed with an A or B (12 credit hours)
- Courses may include independent study.
- Courses CANNOT include Math 589 (Teaching and Presentation of Mathematics).
- Two additional 400 or 500 level courses (8 credit hours) selected as follows:
- Courses may include independent study.
- Courses may include Math 589 (Teaching and Presentation of Mathematics).
- Courses may be selected from other departments with advisor's approval.
- Students must pass the master's examination in Statistics AND satisfy the following
requirements among the 32 credit hours completed toward the degree:
- Complete 9 hours of 500 level courses, NOT including independent study. (Graduate College policy)










