# BS in Mathematics — Data Science Emphasis

## Program Requirements

For the Bachelor of Science (BS) degree with an emphasis in data science:

Course | Title | Hours |
---|---|---|

Complete all courses in Group R ^{1} | 15 | |

Plus the two courses from the following list which must include MATH 646 | 6 | |

Introduction to Mathematical Data Analysis | ||

Mathematical Models | ||

Optimization Theory | ||

Plus two computer courses from the following list: | 6-8 | |

Introduction to Programming | ||

Object-Oriented Programming | ||

Data Structures | ||

Programming Paradigms | ||

Plus two statistics courses from the following list: | 6 | |

Elementary Probability and Mathematical Statistics | ||

Statistical Methods I | ||

Statistical Methods II | ||

Theory of Statistics I | ||

Theory of Statistics II | ||

Total Credit Hours | 33-35 |

^{1} | A list of courses in each group can be found at the beginning of the mathematics section of the catalog. |

### Applied Learning

Students in the BS in mathematics – data science emphasis program are required to complete an applied learning or research experience to graduate from the program. The requirement can be met by completing one of the following:

- The student completes a thesis.
- The student attends a conference and presents at least a poster.
- The student performs outreach in the local school district.
- The student does a presentation in a venue involving members of the community, such as the Science Expo at Keeper of the Plains, or through participation in Math Circle, Pi Mu Epsilon or Math Awareness.
- The student carries out a research project followed by a seminar presentation.