Major Requirements
Degree Requirements – Major
Flowchart
Core requirements
| Course Number | Course Title | Credits |
|---|---|---|
| STOR 315 OR MATH 381 | Discrete Math for Data Science Discrete Mathematics | 4 |
| STOR 320 | Introduction to Data Science | 4 |
| STOR 235 OR MATH 233 | Math For Data Science Calculus of Functions of Several Variables H | 4 4 |
| STOR 415 | Introduction to Optimization | 3 |
| STOR 435 OR STOR 535 | Introduction to Probability Probability for Data Science 1 | 3 4 |
| STOR 445 | Stochastic Modeling | 3 |
| STOR 455 | Methods of Data Analysis | 3 |
| STOR >500 | One STOR 500-level course | 3-4 |
1 Students may not receive credit for both STOR 435 and STOR 535.
Additional 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 |
| COMP 116 OR COMP 110 | Introduction to Scientific Programming Introduction to Programming | 3 3 |
| MATH 231 | Calculus of Functions of One Variable I H | 4 |
| MATH 232 | Calculus of Functions of One Variable II H | 4 |
| MATH 347 | Linear Algebra for Applications | 4 |
| Three (3) additional electives from Group A or Group B | 9-12 |
H Honors version available. An honors course fulfills the same requirements as the nonhonors version of that course. Enrollment and GPA restrictions may apply.
Electives
Students must also take three courses from Group A and/or Group B.
| Course Number | Course Title | Credits |
|---|---|---|
| STOR 305 | Introduction to Decision Analytics | 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 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 566 | Introduction to Deep Learning | 3 |
| STOR 572 | Simulation for Analytics | 3 |
| Course Number | Course Title | Credits |
|---|---|---|
| BIOS 664 | Sample Survey Methodology | 4 |
| BUSI 403 | Operations Management | 3 |
| BUSI 408 | Corporate Finance | 3 |
| BUSI 410 | Business Analytics | 3 |
| BUSI 532 | Service Operations H | 3 |
| BUSI 533 | Supply Chain Management H | 3 |
| COMP 401 | Foundation of Programming H | 4 |
| COMP 410 | Data Structures | 3 |
| COMP 521 | Files and Databases | 3 |
| ECON 410 | Intermediate Theory: Price and Distribution H | 4 |
| ECON 420 | Intermediate Theory: Money, Income, and Employment H | 3 |
| ECON 511 | Advanced Game Theory in Economics H | 3 |
| INLS 523 | Introduction to Database Concepts and Applications | 3 |
| MATH 383 | First Course in Differential Equations H | 3 |
| MATH 521 | Advanced Calculus I H | 3 |
| MATH 522 | Advanced Calculus II H | 3 |
| MATH 523 | Functions of a Complex Variable with Applications | 3 |
| MATH 524 | Elementary Differential Equations | 3 |
| MATH 548 | Combinatorial Mathematics | 3 |
| MATH 566 | Introduction to Numerical Analysis | 3 |
H Honors version available. An honors course fulfills the same requirements as the nonhonors version of that course. Enrollment and GPA restrictions may apply.
Total Hours Required:
Statistics and analytics majors must complete 120 academic hours. They also must attain at least a grade of C, not C-, in 18 hours of the courses listed under Core Requirements. Remaining General Education courses and electives to reach 120 hours will be 66-69.
In addition to the program requirements, students must:
- attain a final cumulative GPA of at least 2.0
- complete a minimum of 45 academic credit hours earned from UNC–Chapel Hill courses
- take at least half of their major course requirements, courses and credit hours, at UNC–Chapel Hill
- earn a minimum cumulative GPA of 2.0 in coursework taken at UNC-Chapel Hill in the major core