Statistics: Analytics Concentration, MS
for the degree of Master of Science in Statistics, Analytics Concentration
Specific program info here
Graduate Degree Programs in Statistics
Statistics, MS
concentrations:
Analytics|Applied
Statistics, PhD
concentration:
Computational Science & Engineering
Graduate Minor in Statistics
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) | 0-4 |
| 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 | |
| Analysis of Variance | ||
| 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 | |
| Computational Statistics | ||
| Machine Learning in Data Science | ||
| Multivariate Analysis | ||
| Data Mining Principles | ||
| Total hours | 36-40 | |
Other Requirements
| Requirement | Description |
|---|---|
| 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