# Mathematics Major, Mathematics of Finance Concentration (B.S.)(Combined B.S./M.S. Statistics)

A minimum of 120 credits of coursework is required for the baccalaureate degree with a minimum 2.0 overall GPA, and a minimum 2.0 major GPA. However, more than 120 credits may be required depending upon the major field of study.

Students interested in this combined program should consult the Undergraduate Advisor after completing MATH 335 or STAT 330.

## Program Requirements

##### Requirements for the graduate portion of this dual degree program can be found here.

Students must complete 42 credits of General Education requirements and 3-9 credits of World Languages and Cultures Requirements.

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

Mathematics Core | ||

MATH 122 | Calculus I | 4 |

MATH 221 | Calculus II | 4 |

MATH 222 | Calculus III | 4 |

MATH 335 | Linear Algebra | 4 |

MATH 340 | Probability | 3 |

Mathematics of Finance Concentration | ||

MATH 420 | Ordinary Differential Equations | 4 |

MATH 466 | Mathematics of Finance I | 3 |

MATH 467 | Mathematics of Finance II | 3 |

STAT 330 | Fundamentals of Modern Statistics I | 3 |

STAT 443 | Introduction to Mathematical Statistics | 3 |

Mathematics Electives | ||

Select 9 credits from the list (see below) | 9 | |

Collateral Requirements | ||

ACCT 201 | Fundamentals of Financial Accounting | 3 |

CSIT 111 | Fundamentals of Programming I | 3 |

CSIT 112 | Fundamentals of Programming II | 3 |

ECON 101 | Applied Macroeconomics | 3 |

ECON 102 | Applied Microeconomics | 3 |

FINC 321 | Fundamentals of Finance | 3 |

Graduate Requirements | ||

Select four of the following: ^{1} | 12 | |

Applied Statistics | ||

Statistical Theory I | ||

Statistical Computing | ||

Applied Regression Analysis | ||

Intermediate Statistics Methods | ||

Total Credits | 74 |

^{1} | These courses will also count toward the MS portion of this program. |

### Mathematics Electives

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

MATH 320 | Transitions to Advanced Mathematics | 3 |

MATH 323 | Complex Variables | 3 |

MATH 360 | Mathematical Modeling in Biology | 3 |

MATH 368 | Fluid Mechanics | 3 |

MATH 370 | Mathematics for Teaching | 3 |

MATH 398 | Vector Calculus | 3 |

MATH 421 | Partial Differential Equations | 3 |

MATH 425 | Advanced Calculus I | 3 |

MATH 426 | Advanced Calculus II | 3 |

MATH 431 | Foundations of Modern Algebra | 3 |

MATH 433 | Theory of Numbers | 3 |

MATH 450 | Foundations of Geometry | 3 |

MATH 451 | Topology | 3 |

MATH 460 | Introduction to Applied Mathematics | 3 |

MATH 463 | Numerical Analysis | 3 |

MATH 464 | Operations Research I | 3 |

MATH 465 | Operations Research II | 3 |

MATH 469 | Mathematical Modeling | 3 |

MATH 485 | Applied Combinatorics and Graph Theory | 3 |

MATH 487 | Introduction to Mathematical Cryptography | 3 |

MATH 490 | Honors Seminar | 3 |

MATH 491 | Research in Mathematics Education | 3 |

MATH 495 | Topics for Undergraduates | 1-3 |

MATH 497 | Mathematics Research I | 1-3 |

MATH 498 | Mathematics Research II | 1-3 |

STAT 401 | Applied Statistics for the Sciences | 3 |

STAT 403 | Techniques and Applications of Statistics | 3 |

STAT 441 | Statistical Computing | 3 |

STAT 442 | Fundamentals of Modern Statistics II | 3 |

STAT 481 | Introduction to Statistical Data Mining | 3 |

STAT 487 | Statistical Genomics | 3 |

STAT 495 | Topics in Statistical Science | 1-3 |

STAT 497 | Undergraduate Research in Statistical Science | 1-3 |