Statistics: Analytics Concentration, MS
for the degree of Master of Science in Statistics, Analytics Concentration
The Master of Science in Statistics, Analytics Concentration combines the mathematical and statistical training of the traditional MS in Statistics with enhanced computational and data analytic training for those planning careers in information intensive industries or research. The program includes fundamental training in mathematical and applied statistics as well as specialized training in data management, analysis, and model building with large datasets and databases. The specialized courses have an emphasis on statistical computing, data management, and statistical learning, which encompasses the more statistical topics that fall under the broader title of data mining. The degree requires 36-40 hours (9 or 10 courses). Students are encouraged to gain experience in a business or consulting environment as part of the program.
for the degree of Master of Science in Statistics, Analytics Concentration
For additional details and requirements refer to the department's Graduate Programs and the Graduate College Handbook.
| Code | Title | Hours |
|---|---|---|
| STAT 410/MATH 464 | Statistics and Probability II (or equivalent proficiency- may be waived with approval) | 3 or 4 |
| STAT 440 | Statistical Data Management | 4 |
| STAT 448 | Advanced Data Analysis | 4 |
| STAT 510 | Mathematical Statistics | 4 |
| STAT 542 | Statistical Learning | 4 |
| Select one of the following: | 4 | |
| Statistical Modeling I | ||
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 | ||
| Select one of the following: | 4 | |
| Statistical Computing | ||
| Basics of Statistical Learning | ||
| Data Science Programming Methods | ||
| Big Data Analytics | ||
| Introduction to Data Mining | ||
| Select one of the following: | 4 | |
| Statistical Consulting | ||
| STAT Internship | ||
| Professional Statistics | ||
| Select one of the following: | 4 | |
| Topics in Computational Statistics | ||
| Machine Learning in Data Science | ||
| Multivariate Analysis | ||
| Data Mining Principles | ||
| Total hours | 36-40 | |
Other Requirements
| Other requirements may overlap | |
| Minimum 500-level Hours Required Overall: | 12 |
| Minimum GPA: | 2.75 |
for the degree of Master of Science in Statistics, Analytics Concentration
Statistics Department
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
156 Computing Applications Building, 605 E Springfield Ave, Champaign, IL 61820
(217) 333-2167
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