Statistics, PhD
Requirements for Students Matriculating in or before Academic Year 2026-2027. Learn more about Graduate College Academic Regulation 7.0.
Total Hours: 90 (Beyond the Bachelor's Degree)
| Code | Title | Hours |
|---|---|---|
| Required Courses | ||
| STAT 5123 | Probability Theory | 3 |
| STAT 5223 | Statistical Inference | 3 |
| STAT 5023 | Statistics for Experimenters II | 3 |
| STAT 5093 | Statistical Computing | 3 |
| STAT 5303 | Experimental Designs | 3 |
| STAT 5323 | Generalized, Linear and Mixed Models | 3 |
| STAT 5333 | Theory of Linear Models | 3 |
| STAT 5513 | Multivariate Analysis | 3 |
| STAT 6113 | Advanced Probability Theory | 3 |
| STAT 6203 | Large Sample Inference | 3 |
| STAT 6223 | Advanced Statistical Inference | 3 |
| STAT 6910 | Special Problems | 3 |
| MATH 5043 | Advanced Calculus I | 3 |
| MATH 5053 | Advanced Calculus II | 3 |
| MATH 5143 | Real Analysis I | 3 |
| Two hours from: | 2 | |
| Statistics Literature | ||
| Hours Subtotal | 47 | |
| Research | 15 | |
| Doctoral Dissertation | ||
| Electives | 28 | |
| Nonparametric Methods | ||
| Sample Survey Designs | ||
| Time Series Analysis | ||
| Statistical Machine Learning with R | ||
| Categorical Data Analysis | ||
| Stochastic Processes | ||
| SAS and R Programming | ||
| Bayesian Analysis | ||
| Applied Regression Analysis | ||
| Genetic Statistics | ||
| Other courses can be used as electives at the discretion of the program committee and the graduate coordinator. Students are encouraged to consider electives from graduate certificates that complement research interests. | ||
| Total Hours | 90 | |
Total Hours: 60 (Beyond the Master's Degree in Statistics)
| Code | Title | Hours |
|---|---|---|
| Required Courses | ||
| STAT 5093 | Statistical Computing | 3 |
| STAT 5333 | Theory of Linear Models | 3 |
| STAT 5513 | Multivariate Analysis | 3 |
| STAT 6113 | Advanced Probability Theory | 3 |
| STAT 6203 | Large Sample Inference | 3 |
| STAT 6223 | Advanced Statistical Inference | 3 |
| STAT 6910 | Special Problems | 3 |
| Two hours from: | 2 | |
| Statistics Literature | ||
| Hours Subtotal | 23 | |
| Research | 15 | |
| Doctoral Dissertation | ||
| Electives | 22 | |
| Nonparametric Methods | ||
| Sample Survey Designs | ||
| Time Series Analysis | ||
| Statistical Machine Learning with R | ||
| Categorical Data Analysis | ||
| Stochastic Processes | ||
| SAS and R Programming | ||
| Bayesian Analysis | ||
| Applied Regression Analysis | ||
| Genetic Statistics | ||
| Other courses can be used as electives at the discretion of the program committee and the graduate coordinator. Students are encouraged to consider electives from graduate certificates that complement research interests. | ||
| Total Hours | 60 | |
Graduate College Doctor of Philosophy (PhD) Requirements
Learn more about Graduate College 2026-2027 Doctor of Philosophy (PhD) Degree Program Requirements. Check the General Graduate College academic regulations for minimal GPA, language proficiency and other general requirements.