# Mathematics, B.A.

## Overall Requirements

- 120 credit hours, to include at least 36 credits at or above the 300 course level
- A minimum grade of C (2.0) is required for all CSC, MAT, and STA courses to count towards the major core and the concentrations

## 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 and Calculus II and Calculus III and Calculus IV | ||

Or three four-credit hour courses | ||

Calculus A and Calculus B and Calculus C |

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

### Concentrations

Select one of the concentrations as detailed following the major requirements.

- General Mathematics
- Health Informatics
- Statistics

### Electives

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

### General 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 of 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 | 3 | |

Select one MAT course at the 400 level. ^{*} |

### Health Informatics 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 |
---|---|---|

Additional Mathematics Courses | 13 | |

Statistical Methods | ||

Statistical Inference | ||

Discrete Mathematical Structures | ||

Ordinary Differential Equations | ||

SAS System for Statistical Analysis | ||

Advanced Mathematics Courses | 3 | |

Select one of the following: | ||

Numerical Methods | ||

Topological Data Analysis | ||

Statistical Computing | ||

Analysis of Survival Data | ||

Introduction to Design of Experiments | ||

Computing Courses | 12 | |

Advanced Data Structures | ||

Select one of the two introductory computer science sequences | ||

Introduction to Computer Programming for Non-Majors and Elementary Data Structures-A Transition | ||

Introduction to Computer Science and Elementary Data Structures and Algorithms | ||

Select one of the following: | ||

Data Science | ||

Big Data and Machine Learning | ||

Digital Image Processing | ||

Bioinformatics | ||

Principles of Database Systems | ||

Health Sciences Courses | 15 | |

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

General Chemistry I and General Chemistry I Laboratory | ||

General Chemistry II and General Chemistry II Laboratory | ||

Introduction to Public Health |

### Statistics 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 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 Course | 3 | |

Select one STA course at the 400 level. |

### 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

## Accelerated B.A. or B.S. to M.A. in Mathematics

### 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.A. in Mathematics 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.A. in Mathematics, submitting all application materials excluding GRE scores.

### 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 Mathematics must be approved by the Graduate Program Director and selected from the following:*

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

MAT 627 | Numerical Methods | 3 |

MAT 630 | Computational Discrete Mathematics | 3 |

MAT 653 | Foundations of Mathematical Data Science | 3 |

MAT 695 | Mathematical Analysis | 3 |

STA 631 | Introduction to Probability | 3 |

- *
*Or other 600-level MAT courses with the Graduate Program Director's approval. Excluding*MAT 601 Seminar in the Teaching of Mathematics I*,*MAT 602 Seminar in Mathematical Software*, and*MAT 603 Practicum in the Teaching of Mathematics*.*

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.A. in Mathematics remain the same.

### 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.