# Master of Science Degrees in Applied Mathematics and Data Analytics

The M.S. Degree Programs in Applied Mathematics and Data Analytics at North Carolina A&T provide an educational program in which the student is given a thorough background and research training in one of the key areas of Applied Mathematics and Data Analytics, as well offering the students hands-on experience in current important applications in applied mathematics areas, along with the statistical and computational skills to apply their knowledge to tackle real world applications.

# Graduate Financial Support

- Graduate teaching assistantships, research assistantships and fellowships are available. Please contact the Department Chair for details of the graduate support.

## Master of Science in Applied Mathematics

## Admission Requirements

- Bachelor’s degree in mathematics, science, engineering, or a related field.
- Have taken Calculus I and II, Differential Equations and Linear Algebra and an upper division math course
- Complete online application at https://aggieadmissions.ncat.edu/graduateadmissions/default.asp

A student seeking the Master of Science in Applied Mathematics must complete the following:

- 30 credit hours of graduate course work.
- Three core courses (9 credit hours): MATH 603, 651, and 690.
- A thesis, a project, or specialized coursework.

__Thesis option:__

- Take 9 credit hours of core courses
- Take 9 credit hours of 700 or 800 level MATH or STAT courses with approval of advisor
- Take 6 credit hours of additional graduate courses with approval of advisor
- Master’s Thesis (MATH 797: 6 credit hours)
- Pass Master’s Thesis defense

__ __

__Project Option:__

- Take 9 credit hours of core courses
- Take 12 credit hours of graduate MATH or STAT courses with at least 9 hours of coursework at 700 level or above and approval of advisor
- Take 6 credit hours of additional graduate courses with approval of advisor
- Graduate Design Project (MATH 796: 3 credit hours)
- Pass Graduate Design Project oral examination

__Coursework Option:__

- Take 9 credit hours of core courses
- Take 12 credit hours of graduate MATH or STAT courses with at least 9 hours of coursework at 700 level or above and approval of advisor
- Take 6 credit hours of additional graduate courses with approval of advisor
- Take 2 credit hours of MATH 784- Master’s Practicum and 1 credit hour of MATH 705- Graduate Seminar, OR

Take 1 credit hour of MATH 705- Graduate Seminar three times

** **

** **

** **

**Core courses (9 credit hours): **

MATH 603- Introduction to Real Analysis (3)

MATH 651- Partial Differential Equations (3)

MATH 690- Scientific Programming for Mathematical Scientists (3)

** **

**Electives:**

**MATH 610 -** Complex Variables (3)

MATH 612-Advanced Linear Algebra (3)

**MATH 631-** Linear and Non-Linear Programming (3)

MATH 633- Stochastic Processes (3)

**MATH 650- **Ordinary Differential Equations (3)

**MATH 652-** Methods of Applied Mathematics (3)

MATH 665- Principles of Optimization (3)

**MATH 675-** Graph Theory (3)

**MATH 685-** Special Topics in Applied Mathematics (3)

**MATH 700-** Theory of Functions of One Real Variable I (3)

**MATH 701-** Theory of Functions of One Real Variable II (3)

MATH 705- Graduate Seminar (3)

MATH 709- Discrete and Combinatorial Mathematics for Data Science (3)

**MATH 710-** Theory of Functions of One Complex Variable (3)

MATH 712-Numerical Linear Algebra (3)

**MATH 717-** Special Topics in Algebra (3)

**MATH 720-** Special Topics in Analysis (3)

**MATH 723-** Advanced Topics in Applied Mathematics (3)

MATH 731- Advanced Numerical Methods (3)

MATH 733- Advanced Probability & Stochastic Process (3)

**MATH 752-** Calculus Variations and Control Theory (3)

**MATH 761-** Interdisciplinary Computational Science Project I (3)

**MATH 762-** Interdisciplinary Computational Science Project II (3)

MATH 781- Mathematical & Computational Modeling (3)

MATH 782- **Statistical Data Analytics and Visualization **(3)

MATH 784- Master’s Practicum (2)

**MATH 796-** Graduate Design Project (3)

**MATH 797-** Thesis Research in Mathematics (3)

MATH 799**-** Continuation of Thesis for Mathematics (1)

**MATH 885-** Special Topics in Data Science and Analytics (3)

STAT 703- Probability Theory and Applications (3)

STAT 704- Statistical Inference (3)

STAT 707- Introduction to data Science (3)

STAT 708- Linear Models for Data Science (3)

STAT 709-Statistical Foundations of Machine Learning (3)

STAT 710- Statistical and Deep Learning (3)

STAT 711- Statistical Computing and Algorithm Analysis (3)

STAT 713- Sample Survey Methods (3)

STAT 723- Categorical Data Analysis (3)

STAT 727- Multivariate Statistical Analysis (3)

STAT 808- Advanced Regression Methods for Data Science (3)

A student seeking the Master of Science in Applied Mathematics with a Concentration in ** Statistics and Data Science**must complete the following:

- 30 credit hours of graduate course work.
- Three core courses (9 credit hours): MATH 603 or STAT 703, MATH 650 or MATH 651 or STAT 704, and MATH 690 or STAT 707.
- A thesis, or a project, or specialized coursework

__Thesis option:__

- Take 9 credit hours of core courses
- Take 9 credit hours of 700 or 800 level STAT or MATH courses with approval of advisor
- Take 6 credit hours of additional graduate courses with approval of advisor
- Master’s Thesis (MATH 797-Master’s Thesis: 6 credit hours)
- Pass Master’s Thesis defense

__ __

__Project Option:__

- Take 9 credit hours of core courses
- Take 12 credit hours of graduate STAT or MATH courses with at least 9 hours of coursework at 700 level or above, and approval of advisor
- Take 6 credit hours of additional graduate courses with approval of advisor
- Graduate Design Project (MATH 796-Graduate Design Project: 3 credit hours)
- Pass Graduate Design Project oral examination

__Coursework Option:__

- Take 9 credit hours of core courses
- Take 12 credit hours of graduate STAT or MATH courses with at least 9 hours of coursework at 700 level or above, and approval of advisor
- Take 6 credit hours of additional graduate courses with approval of advisor
- Take 2 credit hours of MATH 784- Master’s Practicum and 1 credit hour of MATH 705-Graduate Seminar, OR

Take 1 credit hour of STAT 777-Statistical Consulting Practice twice and 1 credit hour of MATH 705-Graduate Seminar

** **

** **

**Core courses (9 credit hours): **

COURSE 1:

MATH 603-Introduction to Real Analysis (3) OR

STAT 703- Probability Theory and Applications (3)

COURSE 2:

MATH 650- Ordinary Differential Equations (3) OR

MATH 651- Partial Differential Equations (3) OR

STAT 704- Statistical Inference (3)

COURSE 3:

MATH 690- Scientific Programming for Mathematical Scientists (3) OR

STAT 707- Introduction to Data Science (3)

** **

**Electives:**

MATH 612- Advanced Linear Algebra (3)

MATH 633- Stochastic Processes (3)

MATH 665- Principles of Optimization (3)

MATH 705- Graduate Seminar (3)

MATH 705- Graduate Seminar (3)

MATH 709- Discrete and Combinatorial Mathematics for Data Science (3)

MATH 712- Numerical Linear Algebra (3)

MATH 731- Advanced Numerical Methods (3)

MATH 733- Advanced Probability & Stochastic Process (3)

MATH 781- Mathematical & Computational Modeling (3)

MATH 782- **Statistical Data Analytics and Visualization **(3)

MATH 784- Master’s Practicum (2)

**MATH 796-** Graduate Design Project (3)

**MATH 797-** Thesis Research in Mathematics (3)

MATH 799**-** Continuation of Thesis for Mathematics (1)

**MATH 885-** Special Topics in Data Science and Analytics (3)

STAT 708- Linear Models for Data Science (3)

STAT 709- Statistical Foundations of Machine Learning (3)

STAT 710- Statistical and Deep Learning (3)

STAT 711- Statistical Computing and Algorithm Analysis (3)

STAT 712- Bayesian Statistics (3)

STAT 713- Sample Survey Methods (3)

STAT 722- Nonparametric Statistics (3)

STAT 723- Categorical Data Analysis (3)

STAT 727- Multivariate Statistical Analysis (3)

STAT 777- Statistical Consulting Practice (1)

STAT 808- Advanced Regression Methods for Data Science (3)

STAT 810- Causal Inference and Learning (3)

STAT 823- Time Series and Business Analytics (3)

STAT 824- Biostatistics and Health Analytics (3)

COMP 620- Data Analytics Techniques (3)

COMP 851- Big Data Analytics (3)

COMP 852- Web-Based Visual Analytics (3)

COMP 853- Data Fusion (3)

** **

** **

A student seeking the Master of Science in Applied Mathematics with a Concentration in ** Mathematics Education Research and Assessment** must complete the following:

- 30 credit hours of graduate course work.
- Three core courses (9 credit hours): MATH 602 or MATH 603 or MATH 612, MATH 651 or MATH 650 or MATH 612, and MATH 601 or MATH 690 or STAT 707.
- A thesis, or a project, or specialized coursework

__Thesis option:__

- Take 9 credit hours of core courses
- Take 9 credit hours of 700 or 800 level MATH or STAT courses with approval of advisor
- Take 6 credit hours of graduate education courses with approval of advisor
- Master’s Thesis (MATH 797-Master’s Thesis: 6 credit hours)
- Pass Master’s Thesis defense

__ __

__Project Option:__

- Take 9 credit hours of core courses
- Take 12 credit hours of graduate MATH or STAT courses with at least 9 hours of coursework at 700 level or above and approval of advisor
- Take 6 credit hours of graduate education courses with approval of advisor
- Graduate Design Project (MATH 796-Graduate Design Project: 3 credit hours)
- Pass Graduate Design Project oral examination

__Coursework Option:__

- Take 9 credit hours of core courses
- Take 6 credit hours of graduate education courses with approval of advisor
- Take 2 credit hours of MATH 784-Master’s Practicum and 1 credit hour of MATH 705-Graduate Seminar, OR

Take 1 credit hour of MATH 705-Graduate Seminar three times

** **

** **

**Core courses (9 credit hours): **

COURSE 1:

MATH 602-Modern Algebra (3) OR

MATH 603-Introduction to Real Analysis (3) OR

MATH 612- Advanced Linear Algebra (3)

COURSE 2:

MATH 650- Ordinary Differential Equations (3) OR

MATH 651- Partial Differential Equations (3) OR

STAT 705- Applied Statistics for Biological and Behavioral Sciences (3)

* *

COURSE 3:

MATH 601- Technology and Applications in Secondary School Mathematics (3) OR

MATH 690- Scientific Programming for Mathematical Scientists (3) OR

STAT 707- Introduction to Data Science

**Electives:**

MATH 604- Modern Geometry for Secondary School Teachers (3)

**MATH 610 -** Complex Variables (3)

MATH 631- Linear and Non-Linear Programming (3)

MATH 665- Principles of Optimization (3)

**MATH 675-** Graph Theory (3)

MATH 685- Special Topics in Applied Mathematics (3)

MATH 705- Graduate Seminar (3)

MATH 709- Discrete and Combinatorial Mathematics for Data Science (3)

MATH 710- Theory of Functions of One Complex Variable (3)

MATH 712-Numerical Linear Algebra (3)

MATH 723-Advanced Topics in Applied Mathematics (3)

MATH 731- Advanced Numerical Methods (3)

MATH 765- Optimization Theory and Applications (3)

MATH 781- Mathematical & Computational Modeling (3)

MATH 782- **Statistical Data Analytics and Visualization **(3)

MATH 784- Master’s Practicum (2)

**MATH 796-** Graduate Design Project (3)

**MATH 797-** Thesis Research in Mathematics (3)

MATH 799**-** Continuation of Thesis for Mathematics (1)

STAT 703- Probability Theory and Applications (3)

STAT 704- Statistical Inference (3)

STAT 707- Introduction to Data Science (3)

STAT 708- Linear Models for Data Science (3)

STAT 709- Statistical Foundations of Machine Learning (3)

STAT 713**-**** Sample Survey Methods** **(3)**

**STAT 716- Design and Analysis of Educational Experiments** **(3)**

STAT 723- Categorical Data Analysis (3)

STAT 727- Multivariate Statistical Analysis (3)

STAT 808- Advanced Regression Methods for Data Science (3)

EDPR 611-Instructional Planning (3)

EDPR 612-Planning and Assessing Literacy (3)

EDPR 615-Assessment of Learning (3)

EDPR 620-Advanced Pedagogical Strategies (3)

** **

## Master of Science in Data Analytics

- A Bachelor’s degree in STEM, business and economics, behavioral and health sciences, agricultural economics, education, or a B.A./B.S. degree in humanities or social sciences with at least a 3.0 undergraduate GPA.
- Additionally, applicants must have an adequate preparation in statistics, computer programming and problem-solving. Specifically, applicants must have completed the following undergraduate level courses or equivalent:
- One course in probability and statistics, and
- One course in algorithmic problem-solving using a data analysis and visualization programming language such as Python, R or MATLAB.
- Complete online application at https://aggieadmissions.ncat.edu/graduateadmissions/default.asp

**Degree Requirements**

Total credit hours: 30

- Core courses (15 credit hours): DAAN 703, DAAN 704, DAAN 705, STAT 707, and STAT 709
- Two concentrations: Advanced Analytics, and Business Analytics

__Coursework Option:__

- Take 15 credit hours of core courses
- Take 12 credit hours of one required course and three elective courses from the selected concentration
- The requirement of each concentration
- Advanced analytics: STAT 710 Statistical Deep Learning
- Business analytics: STAT 823 Time Series Bus Analytics

- The list of elective courses is given below.

- The requirement of each concentration
- Take 3 credit hours of Master’s Practicum in Data Analytics (DAAN 784)

** **

**Suggested Electives for Advanced Analytics (12 hours)**

- STAT 708: Linear Models for Data Science
- STAT 710: Statistical Deep Learning
- STAT 711: Stat Comp and Algorithm Analy
- STAT 712: Bayesian Statistics
- STAT 722: Nonparametric Statistics
- STAT 723: Categorical Data Analysis
- STAT 727: Multivariate Statistical Analy
- STAT 808: Adv Regression Meth Data Sci
- STAT 810: Causal Inference & Learning
- STAT 823: Time Series Bus Analytics
- CST 764: Advanced Big Data Analytics
- MATH 885: Sp Tpcs Data Sci/Analyt

**Degree Requirements**

Total credit hours: 30

- Core courses (15 credit hours): DAAN 703, DAAN 704, DAAN 705, STAT 707, and STAT 709
- Two concentrations: Advanced Analytics, and Business Analytics

__Coursework Option:__

- Take 15 credit hours of core courses
- Take 12 credit hours of one required course and three elective courses from the selected concentration
- The requirement of each concentration
- Advanced analytics: STAT 710 Statistical Deep Learning
- Business analytics: STAT 823 Time Series Bus Analytics

- The list of elective courses is given below.

- The requirement of each concentration
- Take 3 credit hours of Master’s Practicum in Data Analytics (DAAN 784)

**Suggested Electives for Business Analytics (12 hours)**

- BUAN 725: Business Analytics
- BUAN 740: Data Analys & Busi Intel Appli
- BUAN 605: Methods in Business Analysis
- MIS 744: Enterprise Data Management
- CST 625: Computer Database Management
- CST 729: Data Warehousing
- CST 731: Knowledge Discovery Systems
- STAT 823: Time Series Bus Analytics

**Contact Information**

Dr. Alexandra Kurepa

Graduate Coordinator

Department of Mathematics

North Carolina A&T State University

Greensboro, NC 27411

Office: 111 Marteena Hall

Phone: 336-285-2079

E-mail: kurepa@ncat.edu

Or

Dr. Guoqing Tang, Chair

Department of Mathematics

102 Marteena Hall

Phone: 336-285-2089

E-mail: tang@ncat.edu

## Faculty Areas of Specialization

- Differential Equations
- Numerical Analysis
- Biomathematics
- Biostatistics
- Nonlinear & Dynamic Programming
- Mathematical Control & Optimization
- Stochastic Modeling
- Mathematical Economics and Finance
- Mathematical Geosciences
- Nonlinear Waves and Optics
- Data Science & Analytics
- Big Data Analysis & Presentation
- Information Security
- Machine Learning
- Time Series Analysis
- Health Informatics
- Signal and Image Processing