# Mathematics, B.S.

## Overall Requirements

- 120 credit hours, to include at least 36 credits at or above the 300 course level
- Students planning to pursue graduate study should contact their advisor as soon as possible to prepare a plan of study
- A minimum grade of C (2.0) is required for all CSC, MAT, and STA courses to count towards the major core and the concentration.

## Degree Program Requirements

Code | Title | Credit Hours |
---|---|---|

University Requirements | ||

General Education Requirements (MAC) | ||

College of Arts and Sciences Additional Requirements (CIC) |

## Major Requirements

Code | Title | Credit Hours |
---|---|---|

Core Courses | 9 | |

Elementary Linear Algebra | ||

Senior Seminar in Mathematics | ||

Introduction to Probability and Statistical Inference | ||

Calculus Sequence | 12 | |

Select one of the two calculus sequences below: ^{*} | ||

Four three-credit hour courses | ||

Calculus I | ||

Calculus II | ||

Calculus III | ||

Calculus IV | ||

Or three four-credit hour courses | ||

Calculus A | ||

Calculus B | ||

Calculus C |

- *
*If you need to take a combination of courses from both sequences contact your advisor.*

### Concentrations

Students must select one of the concentrations as detailed following the major requirements.

- Advanced Mathematics
- Statistics

### Electives

Electives sufficient to complete the 120 credit hours required for degree.

### Advanced Mathematics Concentration Requirements

- A minimum grade of C (2.0) is required for all CSC, MAT, and STA courses to count towards the major core and the concentration.

Code | Title | Credit Hours |
---|---|---|

Programming Course | 3 | |

Select one from the following: | ||

Introduction to Computer Programming for Non-Majors | ||

Introduction to Computer Science | ||

Elementary Data Structures and Algorithms | ||

Additional Mathematics Courses | 12 | |

Discrete Mathematical Structures | ||

Introduction to Abstract Algebra | ||

Ordinary Differential Equations | ||

Introduction to Mathematical Analysis | ||

Advanced Mathematics Courses ^{*} | 6 | |

Two MAT courses at the 400-level. At least one of which must be chosen from the following: ^{*} | ||

Introductory Functional Analysis | ||

Intermediate Mathematical Analysis | ||

Introductory Complex Analysis | ||

Mathematical Sciences Courses | 9 | |

Select three from the following: | ||

MAT or STA courses 300 level or above ^{*} | ||

Numerical Analysis and Computing | ||

Theory of Computation | ||

Algorithm Analysis and Design | ||

Interdisciplinary Courses | 6 or 8 | |

Choose one of the subject options below | ||

Biology | ||

Principles of Biology I and Principles of Biology I Laboratory | ||

Principles of Biology II and Principles of Biology II Laboratory | ||

Chemistry | ||

General Chemistry I and General Chemistry I Laboratory | ||

General Chemistry II and General Chemistry II Laboratory | ||

Computer Science | ||

Elementary Data Structures-A Transition | ||

or CSC 230 | Elementary Data Structures and Algorithms | |

Advanced Data Structures | ||

Economics | ||

Principles of Microeconomics | ||

Principles of Macroeconomics | ||

Physics | ||

General Physics I with Calculus | ||

General Physics II with Calculus |

- *
*The following courses are not eligible:*

### Statistics Concentration Requirements

Code | Title | Credit Hours |
---|---|---|

Programming Course | 3 | |

Select one of the following | ||

Introduction to Computer Programming for Non-Majors | ||

Introduction to Computer Science | ||

Elementary Data Structures and Algorithms | ||

Additional Statistics Courses | 12 | |

Statistical Methods | ||

Statistical Inference | ||

Select two additional STA courses at the 300 level or above. | ||

Advanced Statistics Courses | 6 | |

Select two STA courses at the 400 level. | ||

Mathematical Sciences Courses | 6 | |

Two additional courses chosen from the following: | ||

MAT or STA courses 300 level or above. ^{*} | ||

Discrete Mathematical Structures | ||

Bioinformatics | ||

Numerical Analysis and Computing |

### Disciplinary Honors in Mathematics

#### Requirements

- A minimum of 12 credit hours as detailed below.
- UNC Greensboro cumulative GPA of 3.30 or better or, for transfer students, cumulative GPA of 3.30 or better from all prior institutions.
- A grade of B or higher in all course work used to satisfy the Honors requirement in Mathematics

Code | Title | Credit Hours |
---|---|---|

Required | 6-9 | |

Honors Work ^{*} | ||

Senior Honors Project | ||

Select two courses from the following: | 6 | |

Elementary Linear Algebra | ||

Introduction to Abstract Algebra | ||

Ordinary Differential Equations | ||

Introduction to Mathematical Analysis |

- *
*To be taken before*HSS 490

#### Recognition

Receive a Certificate of Disciplinary Honors in Mathematics; have that accomplishment, along with the title of the Senior Honors Project, noted on the official transcript; and be recognized at a banquet held at the end of the spring semester.

#### Honors Advisor

Contact Richard Fabiano at fabiano@uncg.edu for further information and guidance about Honors in Mathematics. To apply: http://honorscollege.uncg.edu/forms/disc-application.pdf

### Application and Admission

Qualified UNC Greensboro undergraduate students who are pursuing the B.A. or B.S. in Mathematics may apply for admission to the Accelerated Master's Program (AMP) and the M.S. in Applied Statistics program. A cumulative undergraduate GPA of at least 3.5 based on at least 30 credits earned at UNC Greensboro is required. Applicants must have completed at least 60 credits and may not apply for admission to the AMP before the first semester of the junior year. All applicants must submit the Accelerated Master's Program information when applying for admission to the M.S. in Applied Statistics.

### Courses

Admitted students may apply up to 12 credits of graduate-level course work toward completion of both the undergraduate and graduate degree, provided that they earn a grade of B (3.0) or better in the course and fulfill graduate-level requirements. The graduate courses the student will take within the Accelerated Master's Program in Applied Statistics must be approved by the Graduate Program Director, must be specified on the Accelerated Master's Program request, and must be selected from the following list.

Code | Title | Credit Hours |
---|---|---|

STA 602 | Statistical Methods for Data Analytics | 3 |

STA 606 | Solving Problems with Data Analytics | 3 |

STA 631 | Introduction to Probability | 3 |

STA 632 | Introduction to Mathematical Statistics | 3 |

Please consult with your undergraduate advisor to determine how the courses taken at the graduate level will meet requirements in the bachelor's degree program. All requirements for the M.S. in Applied Statistics remain the same.