# Mathematics - Applied Emphasis for Data Science BS

## Major Requirements

### A major in mathematics - applied emphasis for data science consists of

the mathematics core plusCOMM 110 | Principles of Speech | 3 |

ENGL 272 | Introduction to Technical Communication | 3 |

MATH 221 | Integrated Statistical Analysis | 4 |

or | ||

MATH 223 | Applied Statistics and Data Analysis | 3 |

CSCI 285 | SQL & Business Intelligence Tools for Decision Making | 3 |

CSCI 423 | Statistical Methods of Business Analytics | 3 |

CSCI 424 | Data Mining Methods of Business Analytics | 3 |

PHIL 224 | Ethics and Technology | 3 |

MATH 330 | Mathematical Modeling | 3 |

MATH 400 | Topics in Mathematics | 3 |

MATH 410 | Probability and Statistics | 3 |

ACCT 199 | Fundamentals of Accounting Information | 3 |

ECON 199 | Introduction to Economic Thinking | 3 |

CSCI 155 | Spreadsheet Design | 3 |

SYSA 340 | Management Information Systems | 3 |

#### two courses from:

MATH 340 | Financial Mathematics | 3 |

CSCI 330 | Applied Operations Research | 3 |

SYSA 360 | Operations Management | 3 |

MATH 400: six hours are required with the topics of Statistical Regression and Inference as well as Mathematical Machine Learning

*Effective as of 4/20/2020*