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 their 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.
