MS in Statistics
The Master of Science (MS) in Statistics degree 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 or prepares students to pursue a career in industry.
The student must fulfil 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)
- STAT 481 (Applied Statistical Methods II)
Departmental 500-level courses completed with an A or B (12 credit hours) selected in consultation with an advisor
- At least two courses must be STAT courses.
- 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 at the 500-level.
- Courses may include MATH 589 (Teaching and Presentation of Mathematics).
- Courses may be selected from other departments with advisor's approval.
Master’s Exam
- Students must pass the master’s exam in Statistics.
Satisfy the Graduate College requirement among the 32 credit hours completed toward the degree:
- Complete 9 hours of 500-level courses, NOT including independent study.
*Students who have completed the core courses at another institution must meet with their faculty mentor to identify suitable courses to substitute for those previously taken. Once the course substitutions have been identified, the students must submit a request to the Director of Graduate Studies, signed by the faculty mentor, listing the recommended course substitutions.