Ph.D. in Statistics
Admission to the program
In addition to meeting the minimum university requirement
for graduate study, applicants
who do not have an M.A. or M.S. in statistics would ordinarily begin with
42.530 Mathematical Statistics I, 42.531 Mathematical Statistics II,
42.574 Theory of Probability and/or 42.584
Introduction to stochastic Processes. Admission is based on academic
record and two letters of
recommendation.
Degree and Major Requirements
- A total of 72 credit hours of approved graduate work including a minimum of 6 credit hours of
42.799 Doctoral Dissertation seminar in statistics. Thirty hours may be transferred into the program
by students who have an M.A. in statistics.
- Proficiency in two tools of research chosen from: French, German, Russian, an approved
computer language, or an approved analytical skill such as numerical, complex, or real analysis.
The analytical skill requirement may be satisfied by previous course work.
- A qualifying examination taken before completion of 24 credit hours of course work in the
doctoral program
- Four comprehensive examinations, three written and one oral
- The fields for the written examinations are: 42.002 Advanced
Statistical Theory (administered in two parts), and two chosen from the
following: 42.028
Linear Estimation, 42.029 Multivariate Analysis, 42.020 Theory of sampling,
42.070 statistical
computing, or an approved outside field. The oral examination is a defense
of the dissertation
proposal.
- A dissertation directed by a full-time faculty member and an oral defense of the dissertation
Course Requirements
- 41.674 Advanced Probability (3)
- 42.601 Topics in Advanced Probability and Statistics (3)
(Must taken at least twice, topic must be different)
- 42.610 Statistical Inference: Estimation (3)
- 42.798 Statistical Research and Consulting (3) (must be repeated for credit, topic must be
different)
- 42.799 Doctoral Dissertation Seminar in Statistics (1-12)