Minor Requirements
Degree Requirements – Minor
Core Requirements
| Course Number | Course Title | Credits |
|---|---|---|
| STOR 155 OR STOR 120 | Introduction to Data Models and Inference Foundations of Statistics and Data Science | 3 4 |
| STOR 305 OR STOR 415 | Introduction to Decision Analytics Introduction to Optimization 1 | 3 3 |
1 If both STOR 305 and STOR 415 are taken, students may use one course to fulfill the core requirement and one course to fulfill the elective requirement.
Electives
Three courses from among:
| Course Number | Course Title | Credits |
|---|---|---|
| STOR 215 | Foundations of Decision Sciences | 3 |
| STOR 305 | Introduction to Decision Analytics | 3 |
| STOR 320 | Introduction to Data Science 2 | 4 |
| STOR 415 | Introduction to Optimization | 3 |
| STOR 435 | Introduction to Probability 3 | 3 |
| STOR 445 | Stochastic Modeling | 3 |
| STOR 455 | Methods of Data Analysis | 3 |
| STOR 471 | Long-Term Actuarial Models | 3 |
| STOR 472 | Short Term Actuarial Models | 3 |
| STOR 475 | Healthcare Risk Analytics | 3 |
| STOR 515 | Dynamic Decision Analytics | 3 |
| STOR 520 | Statistical Computing for Data Science 2 | 4 |
| STOR 535 | Probability for Data Science 3 | 3 |
| STOR 538 | Sports Analytics | 3 |
| STOR 555 | Mathematical Statistics | 3 |
| STOR 556 | Time Series Data Analysis | 3 |
| STOR 557 | Advanced Methods of Data Analysis | 3 |
| STOR 565 | Machine Learning | 3 |
| STOR 572 | Simulation for Analytics | 3 |
2 Students may not receive credit for both STOR 320 and STOR 520.
3 Students may not receive credit for both STOR 435 and STOR 535.
In addition to the program requirements students must:
- take at least nine hours of their minor “core” requirements at UNC–Chapel Hill
- earn a minimum cumulative GPA of 2.0 in coursework taken at UNC-Chapel Hill in the minor core