Statistics Graduate Minor
for the Graduate Minor in Statistics
The Graduate Minor in Statistics is designed for doctoral students pursuing degrees in other fields who wish to enhance their statistical knowledge and credentials. Students within the major cannot minor in the same program. The Minor is taken in conjunction with, and is intended to complement the student’s work in their primary disciplines. Admission to the minor requires an application to the Department and admission to a PhD program (MS track to PhD cannot apply until they are in the PhD program) in another field at the University of Illinois Urbana-Champaign. Applications for the Minor are submitted upon completion of the required courses. Approval is contingent on having grade point average of 3.0 or better in the Minor. A total of three courses, constituting 12 graduate credit hours, are required for the minor in Statistics degree. At least 8 credit hours must be taken at the 500 level. No course substitutions allowed.
for the Graduate Minor in Statistics
| Code | Title | Hours |
|---|---|---|
| Three courses from the following list: | 12 | |
| Design of Experiments | ||
| Statistical Modeling I | ||
| Statistical Modeling II | ||
| Statistical Computing | ||
| Time Series Analysis | ||
| Topics in Applied Statistics | ||
| Applied Bayesian Analysis | ||
| Basics of Statistical Learning | ||
| Stochastic Processes | ||
| Survival Analysis | ||
| Unsupervised Learning | ||
| Statistical Data Management | ||
| Practice of Applied Statistics | ||
| Professional Statistics | ||
| Data Science Programming Methods | ||
| Advanced Data Analysis | ||
| Big Data Analytics | ||
| Mathematical Statistics | ||
| Advanced Mathematical Statistics | ||
| Topics in Computational Statistics | ||
| Advanced Regression Analysis | ||
| Advanced Regression Analysis II | ||
| Bioinformatics | ||
| Advanced Stochastic Processes | ||
| Statistical Learning | ||
| Spatial Statistics | ||
| Machine Learning in Data Science | ||
| Theory of Probability I | ||
| Theory of Probability II | ||
| Probability and Measure I | ||
| Probability and Measure II | ||
| Applied Stochastic Processes | ||
| Advanced Time Series Analysis | ||
| Risk Modeling and Analysis | ||
| Multivariate Analysis | ||
| Large Sample Theory | ||
| Empirical Process Theory and Weak Convergence | ||
| Topics in Statistics | ||
| Hierarchical Linear Models | ||
| Covar Struct and Factor Models | ||
| Total Hours | 12 | |
Other Requirements
| At least 8 credit hours must be taken at the 500 level. | |
| No course substitutions are allowed. |
for the Graduate Minor in Statistics
Students in the Statistics Minor will:
- Acquire a solid foundation in core statistical theory and methods;
- Become skillful in statistical software and data analysis;
- Develop an understanding and gain experience in applying methodology learned in the classroom to real problems in science and industry.
Graduate Degree Programs in Statistics
- Statistics, MS
- concentrations:
- Statistics, PhD
- optional concentrations for the PhD:
- Graduate Minor in Statistics
for the Graduate Minor in Statistics
Department of Statistics
Department Chair: Yuguo Chen (Interim)
Associate Department Chair: Georgios Fellouris
Graduate Contact: Asraa Ibrahim
Department Website
College Website
Admissions
Graduate College Admissions Info & Requirements
Department Admissions Info & Requirements
Department Contact: Asraa Ibrahim
Department Office: 156 Computing Applications Building, 605 E Springfield Ave, Champaign, IL 61820
Phone: (217) 333-2167
Department email: stat-grad@illinois.edu