# Statistics Option

**This option is offered within the following major(s):**

The Statistics option offers Mathematics majors an opportunity to concentrate their senior level course work in the area of statistics and probability after completing core junior and lower-division mathematics requirements. This degree option is designed to allow a focus on the study of the mathematical theory underlying statistics while simultaneously developing expertise in statistical applications.

**Option Code:** **658**

A grade of at least C– and a GPA of 2.25 are required in all mathematics courses used to fulfill degree requirements. No course used to fulfill requirements for the mathematics major or any of its options may be taken S/U.

The lower-division requirements for the Statistics option are the same as those for the Mathematics BS degree. The upper-division requirements are as follows.

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

Upper-Division Requirements | ||

Part A. Required Mathematics Core Classes | ||

MTH 311 & MTH 312 | ADVANCED CALCULUS I and ADVANCED CALCULUS II | 8 |

MTH 341 | LINEAR ALGEBRA I | 3 |

MTH 342 | LINEAR ALGEBRA II | 4 |

MTH 343 | INTRODUCTION TO MODERN ALGEBRA | 4 |

MTH 355 | DISCRETE MATHEMATICS | 3 |

Select one of the following writing intensive courses (WIC): | 3 | |

^MATHEMATICAL MODELING | ||

^FUNDAMENTAL CONCEPTS OF TOPOLOGY | ||

^NON-EUCLIDEAN GEOMETRY | ||

Part B: Statistics and Probability Core Classes | ||

MTH 463 | PROBABILITY I | 3 |

MTH 464 | PROBABILITY II | 3 |

ST 411 | METHODS OF DATA ANALYSIS | 4 |

ST 412 | METHODS OF DATA ANALYSIS | 4 |

ST 421 | INTRODUCTION TO MATHEMATICAL STATISTICS | 4 |

ST 422 | INTRODUCTION TO MATHEMATICAL STATISTICS | 4 |

Part C: Depth in Statistics or Probability | ||

Select one of the following: | 3-4 | |

PROBABILITY III | ||

ACTUARIAL MATHEMATICS | ||

METHODS OF DATA ANALYSIS | ||

DESIGN AND ANALYSIS OF PLANNED EXPERIMENTS | ||

SAMPLING METHODS | ||

SURVEY METHODS | ||

PROBABILITY, COMPUTING, AND SIMULATION IN STATISTICS | ||

APPLIED STOCHASTIC MODELS | ||

Part D: Breadth in Mathematics | ||

Select one from each of two of the following five areas: ^{1} | 6 | |

Algebra and Number Theory | ||

COMPUTATIONAL NUMBER THEORY | ||

APPLIED AND COMPUTATIONAL ALGEBRA | ||

Analysis | ||

REAL ANALYSIS | ||

MULTIVARIABLE ADVANCED CALCULUS | ||

COMPLEX VARIABLES | ||

Applied Mathematics | ||

MODELS AND METHODS OF APPLIED MATHEMATICS | ||

INTRODUCTION TO MATHEMATICAL BIOLOGY | ||

SYSTEMS OF ORDINARY DIFFERENTIAL EQUATIONS | ||

APPLIED ORDINARY DIFFERENTIAL EQUATIONS | ||

Geometry and Topology | ||

METRIC SPACES AND TOPOLOGY | ||

INTRODUCTION TO DIFFERENTIAL GEOMETRY | ||

Numerical Analysis | ||

INTRODUCTION TO NUMERICAL ANALYSIS | ||

NUMERICAL LINEAR ALGEBRA | ||

NUMERICAL SOLUTION OF ORDINARY DIFFERENTIAL EQUATIONS | ||

Total Credits | 56-57 |

^{1} | MTH 321 can be substituted for one of the two area classes. |

^ | Writing Intensive Course (WIC) |

**Option Code:** **658**