Program Overview

Mathematical Science (MS) - Industrial Mathematics

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.

Program at a Glance

• Program: Master
• College: College of Sciences
• Department: Mathematics
• Tuition:
  • In-State: $369.65 per credit hour
  • Out-of-State: $1,276.48 per credit hour

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)
• 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

• 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 Deadlines

• Domestic:
  • Spring: December 1
  • Fall: July 1
• International:
  • Spring: July 1
  • Fall: January 15