Students seeking admission to the MS program in Statistical Science should have completed at least two semesters in college calculus comparable to MATH 170 and MATH 175, and two classes in applied statistics including STAT 431 or a comparable course. Familiarity with programming is expected, and familiarity with numerical or statistical computing environments is desirable. Students are not required to have an undergraduate degree in statistics.
An individual graduate program is tailored for the student, but all students must complete a basic core requirement of 24 credits and either.
- Thesis (STAT 500)
- Internship (STAT 598) with an internship report
- A consulting option (minimum of 8 credits of Stat 597)
- STAT 422 Sample Survey Methods (3 cr)
- STAT 451 Probability Theory (3 cr)
- STAT 452 Mathematical Statistics (3 cr)
- STAT 501 Seminar (1 cr)
- STAT 507 Experimental Design (3 cr)
- STAT 519 Multivariate Analysis (3 cr)
- STAT 550 Regression (3 cr)
- STAT 565 Computer Intensive Statistics (3 cr)
- STAT 597 Consulting Practicum (2 cr)
A maximum of 6 credits of Stat 500 may be counted toward the thesis degree option.
Financial support is available in the form of academic year Teaching Assistant appointments. A limited number of TA positions are available each year. Visit the Teaching Assistantships page for more information.
Western Regional Graduate Program (WRGP)
The master's degree in Statistical Science is part of the Western Regional Graduate Program (WRGP). Any student who is a resident of one of the Western Interstate Commission for Higher Education's (WICHE) member states, and is accepted into the M.S. Statistics program, is eligible for the in-state (resident) tuition rate. The College of Graduate Studies will verify student eligibility for this program during the application process and will notify the student directly of the tuition rate once they are accepted by the department. For further information, including a list of the WICHE member states, visit the WRGP page of the Office of Graduate Admissions.
Intercollegiate and Interdisciplinary Education
The University of Idaho Statistics group is an intercollegiate, interdisciplinary team that emphasizes broad applications as well as theoretical aspects of statistics. In addition to research within the discipline, faculty collaborate actively with researchers from the physical, biological, and social sciences, promoting campus-wide cooperation in investigation of statistical problems. There is also close academic liaison with the Statistics faculty at nearby Washington State University.