# 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