The Industrial Mathematics track in the Mathematical Science MS program prepares graduate students to pursue careers in industry by providing them with high quality professional training in branches of mathematics valuable to high-technology industries. This track has three components: training in the necessary mathematics to pursue a career in industrial mathematics, professional training to prepare for the environment of the industrial workplace, and a required experiential component.
Total Credit Hours Required: 30 Credit Hours Minimum beyond the Bachelor's Degree
Track Prerequisites
The following courses are required as prerequisites to this track: Calculus with Analytic Geometry I, II, and III; Differential Equations; Linear Algebra; proficiency in a computer language (Python,MatLab, or C); maturity in the language of advanced calculus (at the level of MAA 4226), and Statistics.
Degree Requirements
Required Courses
12 Total Credits
- Complete the following:
- MAA5237 - Mathematical Analysis (3)
- MAS5145 - Advanced Linear Algebra and Matrix Theory (3)
- MAT5712 - Scientific Computing (3)
- MAP6385 - Applied Numerical Mathematics (3)
Restricted Electives
12 Total Credits
- Complete at least 4 of the following:
- MAA5238 - Measure and Probability I (3)
- MAA6245 - Measure and Probability II (3)
- MAP6111 - Mathematical Statistics (3)
- MAP5336 - Ordinary Differential Equations and Applications (3)
- MAP6356 - Partial Differential Equations (3)
- MAA6405 - Complex Analysis I (3)
- MAA6306 - Real Analysis (3)
- MAA6506 - Functional Analysis (3)
- MAA7239 - Asymptotic Methods in Mathematical Statistics (3)
- MAD5205 - Graph Theory I (3)
- MAD6309 - Graph Theory II (3)
- MAP7386 - Numerical Solutions of PDE (3)
- MAP6118 - Introduction to Nonlinear Dynamics (3)
- MAP6195 - Mathematical Foundations for Massive Data Modeling and Analysis (3)
- MAP6197 - Mathematical Introduction to Deep Learning (3)
- MAP6207 - Optimization Theory (3)
- MAP6218 - Stochastic Calculus (3)
- MAP6387 - Numerical Linear Algebra (3)
- MAP6416 - Applied and Computational Harmonic Analysis (3)
- MAP6445 - Approximation Techniques (3)
- MAP6469 - Bayesian Analysis and Approximation Theory (3)
- MAP7359 - Advanced Topics in Partial Differential Equations (3)
Professional Development Restricted Electives and Internship
6 Total Credits
- Complete 1 of the following
Option 1- Complete at least 2 of the following:
- ENT6016 - New Venture Design (3)
- ENT6617 - Entrepreneurship in Established Organizations (3)
- ENT6946 - Small Business Consulting (3)
- MAN6245 - Organizational Behavior and Development (3)
Option 2- Complete all of the following
- Complete at least 1 of the following:
- ENT6016 - New Venture Design (3)
- ENT6617 - Entrepreneurship in Established Organizations (3)
- ENT6946 - Small Business Consulting (3)
- MAN6245 - Organizational Behavior and Development (3)
- Earn at least 3 credits from the following types of courses: A student takes an industrial internship (MAP 6946) with satisfactory completion, or takes the seminar sequence: MAP5931 -Proseminar for Financial Mathematics (1) and MAP 5933 -Seminar in Financial Mathematics (2).
Option 3- Complete all of the following
- Complete at least 1 of the following:
- ENT6016 - New Venture Design (3)
- ENT6617 - Entrepreneurship in Established Organizations (3)
- ENT6946 - Small Business Consulting (3)
- MAN6245 - Organizational Behavior and Development (3)
- Complete at least 1 of the following:
- MAP5117 - Mathematical Modeling (3)
- MAP6197 - Mathematical Introduction to Deep Learning (3)
- MAP6195 - Mathematical Foundations for Massive Data Modeling and Analysis (3)
Grand Total Credits: 30
Application Requirements
Financial Information
Fellowship Information
The program consists of 30 credit hours of courses and internship. Students will work with an adviser to design a program of study, which will be presented to the program director for approval. If a student has an industrial sponsor, the student's program of study will be developed in consultation with a representative from his sponsoring company. Students are expected to obtain hands-on experience. The capstone requirement for this track is fulfilled by students completing an experiential learning requirement (3 credit hours). At least one-half of the program courses must be taken at the 6000 level.
