This program is being discontinued pending SACSCOC approval and is not accepting applications for admission. The University is still authorized to offer the program and issue the associated credential for students who are currently enrolled in the program.

The Master of Arts in Mathematics degree has six concentrations: Actuarial Mathematics, Data Analytics, Mathematics, Mathematical Foundations of Data Science, Mathematical Statistics, and Teaching College Mathematics. The programs provide advanced training in these areas. Although it is often a terminal degree, the M.A. degree can also be viewed as a natural step towards a Ph.D. degree.

Students who plan to continue to the Ph.D. in Computational Mathematics program are urged to elect the concentration in Mathematics. They may then use the doctoral qualifying examinations to satisfy the comprehensive examination requirement in the non-thesis option for the M.A. degree.

For information regarding deadlines and requirements for admission, please see https://grs.uncg.edu/programs/.

In addition to the application materials required by the Graduate School, applicants must submit a 500-700 word personal statement to be considered for admission.

Degree Program Requirements

Required: 30 credit hours

Actuarial Mathematics Concentration

The M.A. in Mathematics with a concentration in Actuarial Mathematics provides students wishing to pursue a career in actuarial science a solid foundation in Applied Probability and Statistical Models and their applications in the area of actuarial science. It is designed to help students pass the preliminary actuarial exams while providing educational experiences related to the actuarial field. Students will be encouraged to seek internship opportunities during the summer. The concentration requires 30 credit hours and is offered with a project. At least 15 credits must be at the 600-level or above.

The target student population for this program will be students with a bachelor's degree in mathematics, statistics, economics, finance, or a related field who want to pursue an actuarial industry to advance their career.

Course List

Code	Title	Credit Hours
Required Foundations and Methods Courses (12 credits)
STA 631	Introduction to Probability	3
STA 632	Introduction to Mathematical Statistics	3
STA 655	Applied Probability Models	3
MAT 686	Financial Math for Actuaries	3
Elective Courses (15-18 credits)
Actuarial Exam and Applied Statistics Courses
Select at least 9 credits from the following:		9
STA 635	Theory of Linear Regression
STA 642	Statistical Computing
STA 665	Analysis of Survival Data
STA 691	Actuarial Exam Preparation Seminar
STA 670	Categorical Data Analysis
STA 671	Multivariate Analysis
STA 682	Theory of Time Series
Other Applied Statistics Courses
Select at most 6 credits from any other 600-level STA courses or the following: *		6
ECO 641	Microeconomics I
ECO 646	Macroeconomics
ISM 645	Principles of Predictive Analytics
ISM 671	Organizing Data for Analytics
MBA 702	Financial and Managerial Accounting
MBA 707	Financial Management
Project (Capstone Experience) (3 credits)
STA 698	Project in Statistics **	3
Total Credit Hours		30

*

Excluding the 600-level STA courses listed above and STA 651, STA 652, STA 667, STA 668, STA 690, and STA 699.

**

Each student is required to complete a project under the direction of an advisor chosen by the Graduate Program Director in consultation with the student. 3 credits of STA 698 Project in Statistics will be included in the 30 credits required for the concentration.

Data Analytics Concentration

The concentration in Data Analytics provides students with advanced analytical training to develop their ability to draw insights from big data, including: data collection, preparation and integration, statistical methods and modeling, and other techniques for analyzing complex data. The program is highly applied in nature, integrating project-based learning, simulations, case studies, and specific electives addressing the analytical needs of various industry sectors. The concentration requires a minimum of 30 credit hours including either a project (3 credits) or thesis (6 credits) option.

Course List

Code	Title	Credit Hours
Analytics Methods and Foundations (15 credits)
STA 631	Introduction to Probability	3
STA 632	Introduction to Mathematical Statistics	3
STA 642	Statistical Computing	3
STA 673	Statistical Linear Models I	3
STA 703	Topics in High Dimensional Data Analysis	3
Analytics Applications (9-12 credits)
Select at least two courses (6 credits) from the following:		6
STA 645	Nonparametric Statistics
STA 661	Advanced Statistics in the Behavioral and Biological Sciences I
STA 662	Advanced Statistics in the Behavioral and Biological Sciences II
STA 665	Analysis of Survival Data
STA 670	Categorical Data Analysis
STA 671	Multivariate Analysis
STA 674	Statistical Linear Models II
STA 677	Advanced Topics in Data Analysis and Quantitative Methods
Select at most two courses (3-6 credits) from the following:		3-6
CSC 605	Data Science
CSC 610	Big Data and Machine Learning
CSC 625	Bioinformatics
ECO 625	Data Methods in Economics
ECO 663	Predictive Data Mining
ECO 664	Time Series and Forecasting
ISM 645	Principles of Predictive Analytics
ISM 646	Visualizing Data to Design Strategy
ISM 671	Organizing Data for Analytics
Thesis, Project, or Comprehensive Exam (Capstone Experience) (6, 3, or 0 credits)
Select one of the following options:		6, 3, or 0
Thesis Option (6 credits) 1
Project Option (3 credits) 2
Comprehensive Exam Option (0 credits) 3
Total Credit Hours		30

¹

A student may prepare a thesis based on the investigation of a topic in statistics. A thesis director will be appointed by the Department Head after consultation with the student and the Graduate Program Director. Students will include 6 credits of thesis (STA 699) or 3 credits of STA 698 Project in Statistics and 3 credits of STA 699 in the 30 credits required for the concentration. An oral examination on the thesis is required.

²

A student who does not prepare a thesis must complete a project under the direction of an advisor chosen by the Graduate Program Director in consultation with the student. 3 credits of STA 698 Project in Statistics will be included in the 30 credits required for the concentration.

³

A student may pass a written comprehensive examination of their program. Please consult with the Graduate Program Director for information concerning the comprehensive examination. Under this option, 30 credits of course work is required.

Thesis, Project, or Comprehensive Exam (Capstone Experience)

Each student must elect to complete a thesis, project, or comprehensive exam. Each option requires 30 credits total.

Thesis Option (6 credits)

A student may prepare a thesis based on the investigation of a topic in statistics. A thesis director will be appointed by the Department Head after consultation with the student and the Graduate Program Director. Students will include 6 credits of thesis (STA 699) or 3 credits of STA 698 Project in Statistics and 3 credits of STA 699 in the required 30 credits. An oral examination on the thesis is required.

Project Option (3 credits)

A student who does not prepare a thesis must complete a project under the direction of an advisor chosen by the Graduate Program Director in consultation with the student. 3 credits of STA 698 Project in Statistics will be included in the 30 credits required for the concentration.

Comprehensive Exam Option (0 credits)

A student may pass a written comprehensive examination of their program. Please consult with the Graduate Program Director for information concerning the comprehensive examination. Under this option, 30 credits of course work is required.

Mathematics Concentration

The Mathematics concentration offers a thesis option, a project option and a comprehensive exam option. Each option requires 30 credit hours.

Course List

Code	Title	Credit Hours
Core Courses (6-12 credits)
Select 6-12 credits from the following: 1		6-12
MAT 695	Mathematical Analysis
MAT 696	Mathematical Analysis
MAT 727	Linear Algebra
MAT 728	Numerical Linear Algebra
MAT Electives (6-24 credits)
Select 6-24 credits of electives from 600-level or higher MAT courses 2		6-24
Interdisciplinary Electives (0-6 Credits)
Select up to 6 credits of electives from 600-level or higher CSC or STA courses 3		0-6
Thesis, Project, or Comprehensive Exam (Capstone Experience) (6, 3, or 0 credits)
Select one of the following options:		6, 3, or 0
Thesis Option (6 credits) 4
MAT 699	Thesis
Project Option (3 credits) 5
MAT 687	Project in Mathematics
Comprehensive Exam Option (0 credits) 6
Total Credit Hours		30

¹

At least 6 of these credits must constitute a complete year-long sequence.

²

With prior approval of the Graduate Program Director. Excluding MAT 601 Seminar in the Teaching of Mathematics I and MAT 603 Practicum in the Teaching of Mathematics. 

³

With approval of the Graduate Program Director.

⁴

A student may prepare a thesis based on the investigation of a topic in mathematics. A thesis director will be appointed by the Department Head after consultation with the student and the Graduate Program Director. Students may include up to 6 credits of thesis (MAT 699) in the 30 credits required for the concentration. An oral examination on the thesis is required.

⁵

A student may prepare a project based on in-depth investigation of a topic in mathematics. A project director will be appointed by the Department Head after consultation with the student and the Graduate Program Director. Students may include 3 credits of project (MAT 687) in the 30 credit required for the concentration. A written report and an oral examination on the project are required.

⁶

A student who does not prepare a thesis must pass a written comprehensive examination of their program. Please consult with the Graduate Program Director for information concerning the comprehensive examination.

Thesis, Project, or Comprehensive Examination (Capstone Experience)

Thesis Option (6 credits)

A student may prepare a thesis based on the investigation of a topic in mathematics. A thesis director will be appointed by the Department Head after consultation with the student and the Graduate Program Director. Students may include up to 6 credits of thesis (MAT 699) in the 30 credits required for the concentration. An oral examination on the thesis is required.

Project Option (3 credits)

A student may prepare a project based on in-depth investigation of a topic in mathematics. A project director will be appointed by the Department Head after consultation with the student and the Graduate Program Director. Students may include 3 credits of project (MAT 687) in the 30 credits required for the concentration. A written report and an oral examination on the project are required.

Comprehensive Examination Option (0 credits)

A student who does not prepare a thesis must take 30 credits of course work and pass a written comprehensive examination of their program. Please consult with the Graduate Program Director for information concerning the comprehensive examination.

Mathematical Foundations of Data Science Concentration

Required: 30 credit hours

Course List

Code	Title	Credit Hours
Core Course Requirements (12 credits)
MAT 651	Topological Data Analysis	3
MAT 653	Foundations of Mathematical Data Science	3
MAT 654	Advanced Mathematical Data Science	3
STA 622	Complex Data Analysis	3
Electives (12-15 credits)
Select 12-15 credits of elective courses *		12-15
Capstone Experience (6 or 3 credits)
Select one of the following options:		6 or 3
Thesis Option (6 credits)
MAT 699	Thesis
or STA 699	Thesis
Project Option (3 credits)
MAT 687	Project in Mathematics
or STA 698	Project in Statistics
Total Credit Hours		30

*

With prior approval of the Graduate Program Director. At least 9 credits must be selected from MAT and STA graduate courses. At most, 6 credits may be selected from interdisciplinary courses in CSC, ECO, ERM, IAC, IAF, IAL, and ISM.

Mathematical Statistics Concentration

Required: 30 credit hours

Course List

Code	Title	Credit Hours
Core Course Requirements (12 credits)
STA 631	Introduction to Probability	3
or STA 651	Mathematical Statistics
STA 632	Introduction to Mathematical Statistics	3
or STA 652	Mathematical Statistics
STA 635	Theory of Linear Regression	3
STA 673	Statistical Linear Models I	3
Electives (12-18 credits)
Select 12-18 credits of electives from MAT and STA 600-level or higher courses *		12-18
Capstone Experience (6, 3, or 0 credits)
Select one of the following options:		6, 3, or 0
Thesis Option (6 credits)
STA 699	Thesis
Project Option (3 credits)
STA 698	Project in Statistics
Area Exams Option (0 credits)
Total Credit Hours		30

*

With prior approval of the Graduate Program Director. Excluding MAT 601 Seminar in the Teaching of Mathematics I and MAT 603 Practicum in the Teaching of Mathematics .

 

Teaching College Mathematics Concentration

Required: 30 credit hours

The concentration in Teaching College Mathematics is intended for students wishing to pursue a career in teaching at the community college level. This 30 credit hour concentration is offered with a project option or an exam option. At least half of the required credits (15 out of the 30) must be taken at the 600-level or above. Candidates must complete at least 18 credits of graduate course work with an MAT prefix. The concentration has three components: The Mathematics and Statistics core courses; Pedagogy, Educational Research, and Higher Education; and the Capstone Experience (Project or Exam).

Course List

Code	Title	Credit Hours
Mathematics and Statistics Core Courses (18 credits)
Select at least 18 credits from graduate-level MAT or STA courses, including at least one two-semester sequence from the following: 1		18
MAT 691 & MAT 692	Abstract Algebra I and Abstract Algebra II
MAT 695 & MAT 696	Mathematical Analysis and Mathematical Analysis
MAT 727 & MAT 728	Linear Algebra and Numerical Linear Algebra
STA 631 & STA 632	Introduction to Probability and Introduction to Mathematical Statistics
Pedagogy, Educational Research, and Higher Education (9-12 credits)
MAT 601	Seminar in the Teaching of Mathematics I	1
MAT 603	Practicum in the Teaching of Mathematics	2
Select 6-9 credits from the following:		6-9
MAT 503	Problem Solving in Mathematics
MAT 513	Historical Development of Mathematics
STA 661	Advanced Statistics in the Behavioral and Biological Sciences I
STA 662	Advanced Statistics in the Behavioral and Biological Sciences II
ERM 605	Educational Measurement and Evaluation
ERM 667	Foundations of Educational Measurement Theory
HED 602	Student Development Theory in Higher Education
Project or Comprehensive Exam (Capstone Experience) (3 or 0 credits)
Select one of the following options:		3 or 0
Project Option (3 credits) 2
MAT 687	Project in Mathematics
or STA 698	Project in Statistics
Comprehensive Exam Option (0 credits) 3
Total Credit Hours		30

¹

Excluding MAT 503, MAT 513, MAT 601, MAT 603, MAT 699, and STA 699.

²

Students who select the project option must prepare a project on the investigation of a topic in mathematics or statistics. A project director will be appointed by the Department Head in consultation with the students the Graduate Program Director. Candidates may include up to 3 credits of MAT 687or STA 698 in the required total for the concentration.

³

A student who does not prepare a project must pass a written comprehensive examination of their program. Please consult with the Graduate Program Director for information concerning the comprehensive examination.

Project or Comprehensive Exam (Capstone Experience)

Each student must elect to complete a project or comprehensive exam. Both options require 30 credits total.

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, must be specified on the Accelerated Master's Program request, and must be from two out of the following four choices:

Course List

Code	Title	Credit Hours
MAT 695 & MAT 696	Mathematical Analysis and Mathematical Analysis	6
Two courses selected from 600-level or higher MAT courses *		6
STA 631 & STA 632	Introduction to Probability and Introduction to Mathematical Statistics	6
Two courses selected from:		6
STA 602	Statistical Methods for Data Analytics
STA 622	Complex Data Analysis
STA 645	Nonparametric Statistics
STA 670	Categorical Data Analysis
STA 671	Multivariate Analysis

*

Excluding MAT 601 Seminar in the Teaching of Mathematics I , MAT 602 Seminar in Mathematical Software , MAT 603 Practicum in the Teaching of Mathematics , MAT 695 Mathematical Analysis, and MAT 696 Mathematical Analysis.

Please consult with an advisor to determine how the courses taken at the graduate level will meet requirements in the bachelor’s degree program. All degree requirements for the M.A. in Mathematics remain the same.

M.A. Doctoral Track

The M.A. Doctoral Track offers exceptionally well-qualified applicants the opportunity to gain admission to the master's and doctoral programs simultaneously. This program is designed for students who would like to obtain their M.A. and then proceed directly to the Ph.D. program. Students accepted into the M.A Doctoral Track must fulfill all requirements for the M.A. and the Ph.D. and will earn both degrees. Students not accepted into the M.A. Doctoral Track may still be accepted into the M.A. only program.