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Nov 17, 2024
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2024-2025 Graduate Catalog
Applied Mathematics: Statistics and Data Science Concentration, M.S.
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 Return to: Graduate Degree Programs
Graduate Coordinator: Alexandra Kurepa Email: kurepa@ncat.edu Phone: 336-285-2079
Department Chair: Guoqing Tang Email: tang@ncat.edu Phone: 336-285-2033
The Applied Mathematics program provides a thorough background and research training in one of the key areas of Applied Mathematics, such as Mathematical Modeling and Analysis, Dynamics Systems and Differential Equations, Numerical Analysis and Fluid Dynamics, Probability and Statistics, Control Theory and Optimizations. The program also gives the students hands-on experience in current important applications in these areas, along with the statistical and computational skills to apply their knowledge to real world applications.
Additional Admission Requirements
A Bachelor’s degree in Mathematics or a closed related field from an accredited institution
Program Outcomes:
- Students will develop research expertise in one of the areas of Applied Mathematics.
- Students will proficiently apply mathematical knowledge, technology skills, and logical reasoning and proof skills, in solving problems or developing new techniques in Applied Mathematics.
- Students will communicate effectively and with confidence using accurate symbolic representation and correct mathematical terminology orally, in writing, and when using technology according to the standards of the field of mathematics.
- Students will develop the ability to use mathematical reasoning and analysis to acquire a comprehensive understanding of Applied Mathematics. Students will be able to apply analytical reasoning skills in decision making as well as mathematics based problem solving skills in an interdisciplinary context.
- Students will demonstrate computational skills and knowledge of current technology, software and hardware used in Applied Mathematics.
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Degree Requirements
A student seeking a Master of Science in Applied Mathematics with a Concentration in Statistics and Data Science must complete the following:
Total of 30 credit hours of graduate course work to include:
Three core courses (9 credit hours):
- MA TH 603 or STAT 703,
- MATH 650 or MATH 651 or STAT 704,
- and MATH 690 or STAT 707.
A Thesis, Poject, or Specialized coursework Option. (Requirements for each option are detailed in the curriculum guide.)
Core Courses
Students must take 3 courses (9 Credit Hours Total) from the following. To complete their core requirements for this program, students will select one course from each option below.
Option 1: MATH 603 or STAT 703
Option 2: MATH 650 or MATH 651 or STAT 704
Option 3: MATH 690 or STAT 707
Thesis Option
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Take 9 credit hours of 700 or 800 level STAT or MA TH courses with the approval of an advisor
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Take 6 credit hours of additional graduate courses with the approval of an advisor
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Master’s Thesis MATH 797 (6 credit hours)
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Pass Master’s Thesis Defense
Project Option:
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Take 12 credit hours of graduate STAT or MATH courses with at least 9 hours of coursework at 700 level or above with the approval of an advisor.
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Take 6 credit hours of additional graduate courses with the approval of an advisor.
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Graduate Design Project MATH 796 (3 credit hours)
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Pass the Graduate Design Project oral examination
Coursework Option:
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Take 12 credit hours of graduate STAT or MATH courses with at least 9 hours of coursework at 700 level or above with the approval of an advisor.
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Take 6 credit hours of additional graduate courses with the approval of an advisor.
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Take 2 credit hours of: MATH 784- Master’s Practicum and 1 credit hour of MATH 705 Graduate Seminar,
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Take 1 credit hour of STAT 777 -Statistical Consulting Practice twice and 1 credit hour of MATH 705 -Graduate Seminar
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Return to: Graduate Degree Programs
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