# B.A. or B.S., Mathematics

Minimum Requirements for Degree: 120 credits

Students must earn a C- grade or better in each course.

Code | Title | Credits |
---|---|---|

Pre-major Requirement | ||

Students must be ready to matriculate into MATH F251X before they will be allowed to declare mathematics as their major. | ||

General University Requirements | ||

Complete the general university requirements. | ||

General Education Requirements | ||

Complete the general education requirements. | ||

As part of the general education requirements, complete: | ||

Calculus I | ||

B.A. or B.S. Degree Requirements | ||

Select one from the following: | ||

Complete the B.A. degree requirements. | ||

As part of the B.A. requirements, complete: | ||

Calculus II | ||

Complete the B.S. degree requirements. | ||

As part of the B.S. requirements, complete: | ||

Calculus II | ||

College Physics I and College Physics II | ||

General Physics I and General Physics II | ||

Program Requirements | ||

MATH F253X | Calculus III | 4 |

MATH F265 | Introduction to Mathematical Proofs | 3 |

MATH F314 | Linear Algebra | 3 |

Select one from the following options: | 29 | |

Mathematics Option | ||

Introduction to Real Analysis | ||

Abstract Algebra | ||

Senior Seminar ^{1} | ||

Select at least 21 additional credits of electives. Following are some suggested elective packages: ^{2} | ||

Pure Math: | ||

Geometry | ||

Topics in Combinatorics | ||

or MATH F321 | Number Theory | |

Topology | ||

Introduction to Complex Analysis | ||

Additional 9 elective credits | ||

Applied Math: | ||

Differential Equations | ||

Applied Analysis | ||

Introduction to Complex Analysis | ||

Mathematical Modeling | ||

Select two from the following: | ||

Discrete Mathematics | ||

Numerical Analysis | ||

Statistics | ||

Statistics Option | ||

Computer Science I | ||

or NRM F338 | Introduction to Geographic Information Systems | |

Technical Writing | ||

or ENGL F414 | Research Writing | |

Probability | ||

Introduction to Real Analysis | ||

or MATH F405 | Abstract Algebra | |

Mathematical Statistics | ||

Statistics | ||

Regression and Analysis of Variance | ||

Scientific Sampling | ||

Statistical Consulting Seminar ^{1} | ||

Additional 3 elective credits at the F300 level or above | ||

Total Credits | 39 |

^{1} | Fulfills the baccalaureate capstone requirement. |

^{2} | Acceptable elective courses include any math or statistics course at the F300 level or above, and CS F201. At least 15 credits must be math courses (In some cases, courses with strong mathematical content from other disciplines may be used as electives. Such an elective must be approved by an advisor in the Department of Mathematics and Statistics. The requirement that at least 15 credits be math courses still applies). |

**Note:** All mathematics majors — including double majors — must have an advisor from the Department of Mathematics and Statistics.

**Note:** At least 12 approved mathematics credits at the F300 level or above must be taken while in residence on the Fairbanks campus.

## Requirements for Mathematics Teachers (Grades 7-12)

We strongly recommend that prospective secondary science teachers seek advising from the UAF School of Education early in your undergraduate degree program, so that you can be appropriately advised of the State of Alaska requirements for teacher licensure. You may choose to pursue a double major with education or complete a postbaccalaureate teacher certification program.

Code | Title | Credits |
---|---|---|

CS F201 | Computer Science I | 3 |

MATH F305 | Geometry | 3 |

MATH F306 | Introduction to the History and Philosophy of Mathematics | 3 |

STAT F300 | Statistics | 3 |

or MATH F371 and MATH F408 | Probability and Mathematical Statistics | |

Select one from the following: | 3 | |

Topics in Combinatorics | ||

Number Theory | ||

Discrete Mathematics | ||

Select two from the following: | 6-7 | |

Differential Equations | ||

Numerical Analysis | ||

Applied Analysis | ||

Introduction to Complex Analysis | ||

Mathematical Modeling | ||

Total Credits | 21-22 |