Statistics (Ph.D.)

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The Ph.D. in statistics is a flexible program of coursework and research that meshes the faculty's expertise with the students' interests. Current faculty expertise are in Design of Experiments, Nonparametric Function Estimation, Model Selection, Time Series Analysis, Spatial Statistics, Bayesian Statistics, Data Mining and Large Data. Doctoral dissertations range from theoretical to applied. Interdisciplinary research is encouraged.  Ph.D. students frequently work as research assistants in interdisciplinary studies, and also engage in statistical consulting.

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Admission Requirement

Applicants must have completed significant undergraduate coursework in mathematics and Statistics, including basic Statistics (for example, design of experiments), the standard Calculus sequence, and Linear Algebra.


Please visit the Graduate School website  for detailed instructions about applying to the doctoral program.

Students are advanced to candidacy after meeting the following requirements:

Required Courses
MATH 836Advanced Statistical Methods for Research3
MATH 839Applied Regression Analysis3
MATH 840Design of Experiments I3
MATH 855Probability with Applications3
MATH 856Principles of Statistical Inference3
Advanced Coursework in Statistics
MATH 941Bayesian and Computational Statistics3
MATH 945Advanced Theory of Statistics I3
MATH 946Advanced Theory of Statistics II3
Select three of the following:9
Statistical Methods for Quality Improvement and Design
Survival Analysis
Time Series Analysis
Design of Experiments II
Spatial Statistics
Topics in Probability and Statistics I 1
Research Topics in Statistics 1
Minor Coursework
Select one of the following analysis courses:3
One-Dimensional Real Analysis
Analysis I
Select two courses in a focused minor area 26
Total Credits42

MATH 969 Topics in Probability and Statistics I and MATH 979 Research Topics in Statistics are topics courses and may be taken more than once.


To be selected in consultation with the program advisor.

Successful completion of written qualifying examinations in theory of statistics and in applied statistics.

Successful completion of a comprehensive exam in advanced theory of statistics and an elective comprehensive exam.

Participation in the one-credit statistics seminar during at least three semesters.

Successful completion of a dissertation proposal defense in the major field of statistics.


Doctor of Philosophy in Statistics: A dissertation that includes original research in statistics.