The Bachelor of Science with a major in data science requires a minimum of 120 s.h., including at least 59 s.h. of work for the major. Students must maintain a g.p.a. of at least 2.00 in all courses for the major and in all UI courses for the major. They also must complete the College of Liberal Arts and Sciences GE CLAS Core.

**Notes:**

**Data science majors may not earn a major or minor in computer science or statistics, a major in computer science and engineering, or the Certificate in Social Science Analytics.****Students must earn a minimum of a C- in all major coursework to meet prerequisite grade requirement**

The B.S. with a major in data science requires the following coursework.

Code | Title | Hours |
---|---|---|

Prerequisite Courses | 12-16 | |

Core Courses | 26 | |

Advanced Courses | 9 | |

Advanced Electives | 9 | |

Capstone Courses | 3 | |

Total Hours | 59-63 |

Students choose one of the following sequences.

Code | Title | Hours |
---|---|---|

These: | ||

MATH:1550 | Engineering Mathematics I: Single Variable Calculus | 4 |

MATH:1560 | Engineering Mathematics II: Multivariable Calculus | 4 |

MATH:2700 | Introduction to Linear Algebra | 4 |

Or these: | ||

MATH:1850 | Calculus I | 4 |

MATH:1860 | Calculus II | 4 |

MATH:2700 | Introduction to Linear Algebra | 4 |

MATH:2850 | Calculus III | 4 |

Code | Title | Hours |
---|---|---|

All of these: | ||

CS:1210 | Computer Science I: Fundamentals | 4 |

CS:2210 | Discrete Structures | 3 |

CS:2230 | Computer Science II: Data Structures | 4 |

CS:3330 | Algorithms | 3 |

STAT:2010 | Statistical Methods and Computing | 3 |

STAT:3100/IGPI:3100 | Introduction to Mathematical Statistics I | 3 |

STAT:3101/IGPI:3101 | Introduction to Mathematical Statistics II | 3 |

STAT:3200/IGPI:3200/ISE:3760 | Applied Linear Regression | 3 |

Code | Title | Hours |
---|---|---|

Both of these: | ||

CS:4400 | Database Systems | 3 |

STAT:4580/IGPI:4580 | Data Visualization and Data Technologies | 3 |

One of these: | ||

CS:5430 | Machine Learning | 3 |

STAT:4540/IGPI:4540 | Statistical Learning | 3 |

Code | Title | Hours |
---|---|---|

Three of these, with at least one computer science course and one statistics course: | ||

CS:4440 | Web Mining | 3 |

CS:4470 | Health Data Analytics | 3 |

CS:4700/MATH:4860 | High Performance and Parallel Computing | 3 |

CS:5630 | Cloud Computing Technology | 3 |

STAT:3210 | Experimental Design and Analysis | 3 |

STAT:4520/IGPI:4522/PSQF:4520 | Bayesian Statistics | 3 |

STAT:4560 | Statistics for Risk Modeling | 3 |

STAT:5810/BIOS:5310/IGPI:5310 | Research Data Management | 3 |

Other advanced computer science or statistics courses approved by advisor |

Code | Title | Hours |
---|---|---|

Both of these: | ||

STAT:4880 | Data Science Creative Component | 1 |

STAT:4890 | Data Science Practicum | 2 |