# Mathematics Comprehensive Major, 45-48 hours: B.A., B.S.—No Minor Required

CIP: 270101

## Requirements

### The Northwest Core (44-47 hours)

### Institutional Requirements (4 hours)

Recommended:CSIS 44101 | Foundations of Computing | 3 |

OR | ||

CSIS 44130 | Computers and Information Technology | 3 |

### A Professions course chosen from (1-3 hours):

INCO 77297 | Profession-Based Work Experience | 1 to 3 |

MATH 17197 | Exploring Mathematics-Related Fields | 1 |

### Foundational Requirements (32 hours)

To achieve the common objectives, all students in this major required to complete a common foundational set of 32 semester hours and participate in senior assessment. The area’s common foundational requirements are:

MATH 17114 | General Statistics * | 3 |

MATH 17120 | Calculus I | 4 |

MATH 17121 | Calculus II | 5 |

MATH 17145 | Computational Reasoning and Data | 3 |

MATH 17311 | Linear Algebra | 3 |

MATH 17316 | Linear Statistical Models I | 3 |

MATH 17333 | Probability and Statistics | 3 |

MATH 17342 | An Introduction to Modeling | 3 |

MATH 17390 | Transition to Proofs | 3 |

MATH 17495 | Seminar in Mathematics | 2 |

MATH 17120: This course fulfills a Northwest Core requirement as well as a requirement of the major, but the number of credit hours may be counted only once toward the total number of credit hours required for graduation.

### Approved departmental electives (12-13 hours)

Choose 12-13 hours.

MATH 17319 | Graph Theory | 3 |

MATH 17321 | Calculus III | 4 |

MATH 17351 | College Geometry | 3 |

MATH 17361 | Differential Equations | 3 |

MATH 17356 | Data Mining with Applications to Business and Sciences | 3 |

MATH 17366 | Statistical Machine Learning for Pattern Recognition | 3 |

MATH 17415 | Modern Algebra | 3 |

MATH 17472 | Time Series Forecasting | 3 |

MATH 17520 | Applied Analysis | 3 |

CSIS 44413 | Visualization | 3 |

Note: A B.A. degree also requires 9 credit hours of a modern language.