
Michelle Hopkins Capozzoli
LECTURER 
Veronica P. Hupper
LECTURER 
Linyuan Li
PROFESSOR 
Ernst Linder
PROFESSOR 
Philip J. Ramsey
PRINCIPAL LECTURER
Statistics Ph.D.
Program Overview
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.
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.
Applying
Please visit the Graduate School website for detailed instructions about applying to the doctoral program.
Contact
Curriculum & Requirements
Students are advanced to candidacy after meeting the following requirements:
Code  Title  Credits 

Required Courses  
MATH 836  Advanced Statistical Methods for Research  3 
MATH 839  Applied Regression Analysis  3 
MATH 840  Design of Experiments I  3 
MATH 855  Probability with Applications  3 
MATH 856  Principles of Statistical Inference  3 
Advanced Coursework in Statistics  
MATH 941  Bayesian and Computational Statistics  3 
MATH 945  Advanced Theory of Statistics I  3 
MATH 946  Advanced Theory of Statistics II  3 
Select three of the following:  9  
MATH 837  Statistical Methods for Quality Improvement and Design  
MATH 841  Survival Analysis  
MATH 843  Time Series Analysis  
MATH #844  Design of Experiments II  
MATH 944  Spatial Statistics  
MATH 969  Topics in Probability and Statistics I ^{1}  
MATH 979  Research Topics in Statistics ^{1}  
Minor Coursework  
Select one of the following analysis courses:  3  
MATH 867  OneDimensional Real Analysis  
MATH 953  Analysis I  
Select two courses in a focused minor area ^{2}  6  
Total Credits  42 
^{1}  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. 
^{2}  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 onecredit statistics seminar during at least three semesters.
Successful completion of a dissertation proposal defense in the major field of statistics.
Dissertation
Doctor of Philosophy in Statistics: A dissertation that includes original research in statistics.