Ph.D. Program in Statistics
The Ph.D. program is designed to prepare a candidate for a career in teaching and research. Recent Ph.D. graduates have found employment with IBM, Proctor and Gamble, National Institutes of Health, St. Judes Children's Research Hospital, U.S.D.A. Forest Service, Radiation Effects Research Foundation, as well as with universities in the U.S. and abroad.
Prerequisites:
- Equivalent of OSU M.S. degree in Statistics.
- Pass the M.S. comprehensive exams in methods and theory.
- Apply for admission to Ph.D. program. (Evaluation is by the entire faculty. The evaluation criteria for admission are: course work, grades, M.S. comprehensive exam results, and any information you provide in your application giving evidence of capability to do original research.)
Required course work:
| ST 541 | Probability, Computing, and Simulation |
| ST 551-2-3 | Statistical Methods |
| ST 561-2-3 | Theory of Statistics |
| ST 623, 625 | Generalized Regression Models |
| ST 651-2 | Linear Model Theory |
| ST 661-2-3 | Advanced Theory of Statistics (note: MTH 511 is a prerequisite) |
| MTH 664 | Probability Theory |
| ST 509 | Consulting (2 credits annually) |
| ST 603 | PhD thesis research; 36 credit minimum |
Total of about 120 hours of course work. Hours completed for an MS degree as well as the 36 or more credits of ST 603 count toward this total. The specific courses to be taken are decided at a meeting of the PhD committee.
- Pass the preliminary exam over Ph.D. course work.
- Write a thesis describing the results of original research.
- Pass the final examination over thesis and related material.