Statistics, MS
for the degree of Master of Science in Statistics
Department Chair: Bo Li
Associate Department Chair: Jeff Douglas
PhD Program Director: Xiaofeng Shao
MS Program Director: Darren Glosemeyer
MS Advisors: Tori Ellison, Hyoeun Lee
Graduate Contact: Aaron Thompson
Department website: http://www.stat.illinois.edu/
College website: https://las.illinois.edu/
overview of graduate college admissions & requirements: Graduate Admissions
department office: 101 Illini Hall, 725 South Wright Street, Champaign, IL 61820
phone: (217) 333-2167
email: stat-office@illinois.edu
Specific program info here
Graduate Degree Programs in Statistics
Statistics, MS
concentrations:
Analytics|Applied
Statistics, PhD
concentration:
Computational Science & Engineering
Graduate Minor in Statistics
Admission
Graduate College admission requirements apply. Students are expected to have a strong undergraduate mathematics background, but need not have an undergraduate statistics or mathematics degree. Students may be admitted with deficiencies, which are to be removed during the first year of graduate work. A minimum Test of English as a Foreign Language (TOEFL) score of 590 for the paper-based test or 243 for the computer-based test is required for students whose native language is not English. The Graduate Record Examination (GRE) is required. The department offers Ph.D. admissions for the fall only.
Graduate Teaching Experience
Although teaching is not a general Graduate College requirement, experience in teaching is considered an important part of the graduate experience in the Ph.D. program.
Financial Aid
Financial aid is available primarily in the form of teaching assistantships, research assistantships, and fellowships. For further information write to the Graduate Admissions Committee, Department of Statistics.
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 | |
| Analysis of Variance | ||
| Statistical Modeling II | ||
| Time Series Analysis | ||
| Applied Bayesian Analysis | ||
| Stochastic Processes | ||
| 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]) | 4 |
| Total hours | 32-36 | |
Other Requirements
| 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 | ||
| Analysis of Variance | ||
| 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 | ||
| Advanced Data Analysis | ||
| Math Modeling in Life Sciences | ||
| Data Science Foundations | ||
| Advanced Mathematical Statistics | ||
| Computational Statistics | ||
| Bioinformatics | ||
| Advanced Survival Analysis | ||
| Clinical Trials Methodology | ||
| 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 | ||
| Multivariate Analysis | ||
| Large Sample Theory | ||
| Topics in Statistics | ||
| Hierarchical Linear Models | ||
| Covar Struct and Factor Models | ||
| Individual Study and Research | ||
| STAT Internship | ||