University of Illinois Urbana-Champaign College of Liberal Arts and Sciences 33 courses 36-40 total credits
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.
| Total Hours | 36-40 credits |
Mathematical Statistics
Select one of the following:
| Code | Course Title | Credits |
|---|---|---|
| STAT 410 | Statistics and Probability II | 0-4 |
| STAT 510 or STAT 511 | Mathematical Statistics or Advanced Mathematical Statistics | 4 |
Foundational Statistics
Select one of the following: (4 hours)
Statistical Computing
Select three of the following: (12 hours)
Advanced Analytics
Select one of the following: (4 hours)
| Code | Course Title | Credits |
|---|---|---|
| STAT 542 | Statistical Learning | 4 |
| STAT 525 | Topics in Computational Statistics | 4 |
| STAT 546 | Machine Learning in Data Science | 4 |
| STAT 571 | Multivariate Analysis | 4 |
| CS 512 | Data Mining Principles | 4 |
Experiential Learning
Select one of the following: (4 hours)
| Code | Course Title | Credits |
|---|---|---|
| STAT 427 | Statistical Consulting | 3-4 |
| STAT 441 | Practice of Applied Statistics | 3-4 |
| STAT 443 | Professional Statistics | 3-4 |
| STAT 593 | STAT Internship | 0-8 |
Click a course code or title to read the full course description.
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