Statistics, MS
for the degree of Master of Science in Statistics
The Master of Science (MS) degree in Statistics provides advanced training in mathematical and applied statistics, exposure to statistics in a consulting or collaborative research environment and specialized coursework in a number of areas of emphasis. The program is intended to prepare students for careers as practicing statisticians, to provide enhanced research expertise for students pursuing advanced degrees in other fields, and to strengthen the mathematical and statistical training of students preparing for PhD studies in statistics or a related field. The MS degree requires 32-36 hours (8 or 9 courses) beyond the prerequisites. There is no thesis requirement for this degree. The entire program must be approved by the Graduate Advisor before a degree can be awarded.
for the degree of Master of Science in Statistics
For additional details and requirements refer to the department's Graduate Programs and the Graduate College Handbook.
| Code | Title | Hours |
|---|---|---|
| STAT 510 | Mathematical Statistics | 4 |
| Select one of the following: | ||
| STAT 425 | Statistical Modeling I | 4 |
| or STAT 527 | Advanced Regression Analysis | |
| Select one of the following: | 4 | |
| Design of Experiments | ||
| Statistical Modeling II | ||
| Time Series Analysis | ||
| Applied Bayesian Analysis | ||
| Stochastic Processes | ||
| Advanced Regression Analysis II | ||
| Advanced Stochastic Processes | ||
| Advanced Time Series Analysis | ||
| Five elective courses from Departmental List (See Course List Tab) | 20 | |
| STAT 427 | Statistical Consulting (or experience in applied statistics) | 0-4 |
| or STAT 593 | STAT Internship | |
| or STAT 443 | Professional Statistics | |
| STAT 410/MATH 464 | Statistics and Probability II (or equivalent proficiency - may be waived with approval) | 0-4 |
| Total hours | 32-36 | |
Other Requirements
| Requirement | Description |
|---|---|
| Other Requirements may overlap | |
| A concentration is not required. | |
| Minimum 500-level Hours Required Overall: | 12 |
| Minimum GPA: | 2.75 |
for the degree of Master of Science in Statistics
| Code | Title | Hours |
|---|---|---|
| Statistics Departmental Course List | ||
| Design of Experiments | ||
| Statistical Modeling II | ||
| Statistical Consulting | ||
| Statistical Computing | ||
| Time Series Analysis | ||
| Topics in Applied Statistics | ||
| Applied Bayesian Analysis | ||
| Basics of Statistical Learning | ||
| Stochastic Processes | ||
| Survival Analysis | ||
| Statistical Data Management | ||
| Professional Statistics | ||
| Data Science Programming Methods | ||
| Advanced Data Analysis | ||
STAT 458 | ||
| Big Data Analytics | ||
| Advanced Mathematical Statistics | ||
| Topics in Computational Statistics | ||
| Advanced Regression Analysis II | ||
| Bioinformatics | ||
| Advanced Stochastic Processes | ||
| Advanced Survival Analysis | ||
STAT 538 | ||
| 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 | ||
| Multivariate Analysis | ||
| Large Sample Theory | ||
| Empirical Process Theory and Weak Convergence | ||
| Topics in Statistics | ||
| Hierarchical Linear Models | ||
| Covar Struct and Factor Models | ||
| Individual Study and Research | ||
| STAT Internship | ||
for the degree of Master of Science in Statistics
Statistics students in the MS program will:
- Acquire a solid foundation in mathematical statistics and learn how it applies to data analysis;
- Develop strong communication abilities in writing and orally that will allow them to work effectively in diverse teams;
- Become skillful in statistical computing, data management, and statistical software;
- Be knowledgeable of the most modern techniques in statistical methodology and data science, especially data analysis techniques associated with statistical learning and machine learning;
- Develop an understanding and gain experience in applying methodology learned in the classroom to real problems in science and industry.
for the degree of Master of Science in Statistics
Statistics Department
Interim Department Chair: Yuguo Chen
Associate Department Chair: Georgios Fellouris
MS Program Director: Darren Glosemeyer
MS advisors: Alexandra Chronopoulou, Hyoeun Lee
Graduate Contact: Asraa Ibrahim
Statistics Department website
Computing Applications Building, 605 E Springfield Ave, Champaign, IL 61820
(217) 333-2167
Statistics email: stat-grad@illinois.edu
College of Liberal Arts & Sciences
College of Liberal Arts & Sciences website
Admissions
Statistics Department Admissions Info & Requirements
Graduate College Admissions & Requirements