M.S. Program in Statistics
The M.S. program is designed to prepare a candidate for a career in industry or government or for further study at the Ph.D. level. Recent M.S. graduates have found employment with the U.S. Environmental Protection Agency, U.S. Department of Defense, Sony Corporation, State of Oregon, Fred Hutchinson Cancer Center, Hewlett Packard, Kellogg Company, Mayo Clinic, American Airlines and U.S. West Communications.
Prerequisites:
- Single-variable and multivariable calculus (approximately 4 quarters).
- Linear algebra.
- A one-year undergraduate course in mathematical statistics. Typical textbook: Mathematical Statistics with Applications by Mendenhall et al.
- One or more applied statistics courses (recommended, but not required).
Students who meet all of the requirements except for one or two
courses may be granted provisional admission so they can begin their
graduate studies while completing the remaining required courses. When
the remedial course work is completed the Graduate School will remove
the provisional status.
Required course work:
| ST 541 | Probability, Computing, and Simulation in Statistics (4 credit hours) |
| ST 551-2-3 | Statistical Methods (12 hours) |
| ST 561-2-3 | Theory of Statistics (9 hours) |
| ST 623 | Generalized Regression Models (3 hours) |
| ST 501 | Research Project (3 hours) |
| ST 506 (Sect 2) | Teaching Experience (1 hour) |
| ST 507 (Sect 1) | Attendance at Consulting Seminar (1 hour) |
| ST 507 (Sect 3) | Attendance at Research Seminar (2 hours) |
| ST 509 | Consulting Practicum (2 hours) |
Additional approved courses* (15 credit hours)
TOTAL = 52 credit hours
* Approved courses include all 500 and 600 level courses in the Statistics Department except ST 511, 512, 513, 515, 521, and 522. Courses with a 0 as the middle digit and courses in other departments may be used only with the consent of the major professor (and minor professor if the course is listed in the minor). A student planning to continue for a Ph.D. in statistics should take Advanced Calculus (MTH 311-2) and Real Analysis (MTH 511-2).
Other requirements:
- Pass written comprehensive exams in statistical methods and in statistical theory. These exams are given each year in September.
- Pass a final oral exam.