Statistics: Analytics Concentration, MS
Program Overview
Program Overview
The Master of Science in Statistics, Analytics Concentration combines mathematical and statistical training with enhanced computational and data analytic training for 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.
Program Requirements
- 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.
- The program includes courses in:
- Statistical computing
- Data management
- Statistical learning
- Data mining
Course List
| Course List 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:
- STAT 425: Statistical Modeling I
- STAT 527: Advanced Regression Analysis
- Select one of the following:
- STAT 424: Design of Experiments
- STAT 426: Statistical Modeling II
- STAT 429: Time Series Analysis
- STAT 431: Applied Bayesian Analysis
- STAT 433: Stochastic Processes
- STAT 528: Advanced Regression Analysis II
- STAT 533: Advanced Stochastic Processes
- STAT 556: Advanced Time Series Analysis
- Select one of the following:
- STAT 428: Statistical Computing
- STAT 432: Basics of Statistical Learning
- STAT 447: Data Science Programming Methods
- STAT 480: Big Data Analytics
- CS 412: Introduction to Data Mining
- Select one of the following:
- STAT 427: Statistical Consulting
- STAT 593: STAT Internship
- STAT 443: Professional Statistics
- Select one of the following:
- STAT 525: Topics in Computational Statistics
- STAT 546: Machine Learning in Data Science
- STAT 571: Multivariate Analysis
- CS 512: Data Mining Principles
- Total hours: 36-40
Other Requirements
- Minimum 500-level Hours Required Overall: 12
- Minimum GPA: 2.75
Program Structure
The program is designed to provide students with a comprehensive education in statistics and analytics, with a focus on practical applications and experience in a business or consulting environment. The program is structured to include a combination of core courses, electives, and experiential learning opportunities.
Department and College Information
The program is offered by the Statistics Department, which is part of the College of Liberal Arts & Sciences. The department is committed to providing students with a high-quality education and research opportunities in statistics and analytics. The college is dedicated to fostering a community of scholars and providing students with a well-rounded education in the liberal arts and sciences.