Industrial Mathematics P.S.M.
Industrial Mathematics Major
This program is currently suspended.
The Professional Science Master’s Degree in Industrial Mathematics is designed to prepare students for a career in industry. The curriculum combines a business and experiential component with advanced course work.
Students interested in this program must submit a completed Application for Admission to Graduate Study and should refer to their MyUNIverse Student Center To-Do list or contact the Department of Mathematics for any other application requirements. Graduate information and application for graduate admission can be found at https://admissions.uni.edu/application.
The Graduate Record Examination (General Test) is not required for admission to the program.
Only graduate courses (course numbers 5000 or above) will apply to a graduate degree, even if the undergraduate course number (4999 or less) is listed. No exceptions will be made.
This major is a non-thesis program. A minimum of 30 hours is required. A minimum of 12 hours of 6000-level course work is required.
No comprehensive examination is required for this non-thesis option.
Requirements for admission to the program include the completion of a bachelor’s degree with a GPA of 3.00 or higher and successful completion of the following university-level courses:
Prerequisite Courses:
| MATH 1420 | Calculus I | 4 |
| MATH 1421 | Calculus II | 4 |
| MATH 2422 | Calculus III | 4 |
| MATH 2500 | Linear Algebra for Applications | 3 |
| STAT 1772 | Introduction to Statistical Methods | 3 |
| One course in computer programming (or equivalent): | ||
| CS 1130 | Visual BASIC Programming | 3 |
| CS 1160 | C/C++ Programming | 3 |
| CS 1510 | Introduction to Computing | 4 |
This major requires completion of 9 hours of the PSM Industrial Mathematics core, and 21 hours of electives.
| Required Core: | ||
| MATH 6745 | Deterministic Operations Research | 3 |
| MATH 6747 | Discrete-Event System Simulation | 3 |
| MATH 6796 | PSM Capstone Project | 3 |
| Electives from the following: | 21 | |
| Marketing: | ||
| Marketing Strategy | ||
or MKTG 6170 | Marketing Management | |
| Management: | ||
| Business Strategy | ||
| Cross-Functional Operations | ||
| Finance: | ||
| Financial Management and Markets | ||
| Technology: | ||
| Solid Modeling and Additive Manufacturing for Design | ||
| Mathematics: | ||
| Actuarial Mathematics | ||
| Topics in Actuarial Science | ||
| Introduction to Financial Engineering | ||
| Loss Models | ||
| Differential Equations | ||
| Partial Differential Equations | ||
| Numerical Analysis | ||
| Differential Geometry | ||
| Introduction to Complex Analysis | ||
| Probabilistic Operations Research | ||
| Modeling Industrial Systems Using Queueing Networks | ||
| Topics in Probability and Statistics | ||
| Applied Statistical Methods for Research | ||
| Introduction to Mathematical Statistics | ||
| Regression Analysis | ||
| Spatial Data Analysis | ||
| Statistical Computing I | ||
| Design and Analysis of Experiments | ||
| Statistical Quality Assurance Methods | ||
| Applied Multivariate Statistical Analysis | ||
| Statistical Computing II | ||
| Advanced Statistical Methods | ||
| Computer Science: | ||
| Computer Systems | ||
| Physics: | ||
| Modeling and Simulation of Physical Systems | ||
| Total Hours | 30 | |
Learning Outcomes
Industrial Mathematics, P.S.M.
- Students will demonstrate an in-depth understanding of a variety of mathematical models and techniques needed in business/industry.
- Students will demonstrate the practical skills needed to apply mathematical models and techniques to problem-solving in business/industry.
- Students will demonstrate communication skills appropriate for working in business/industry.