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Industrial Mathematics - Master of Science

3994 Industrial Mathematics

Graduate

Master of Science

FS99

College of Natural Science

Relevant Excerpt(s) from Academic Programs:

Department of Mathematics

Relevant Excerpt(s) from Academic Programs:

Listed below are the approved requirements for the program from the official Academic Programs Catalog.

Students must consult their advisors to learn which specific requirements apply to their degree programs.

Requirements as represented in Degree Navigator are not available for this program.

### College of Natural Science

#### Department of Mathematics

##### Graduate Study

###### Industrial Mathematics - Master of Science

Students must consult their advisors to learn which specific requirements apply to their degree programs.

Requirements as represented in Degree Navigator are not available for this program.

The degree of Master of Science in Industrial Mathematics is designed to produce generalized problem solvers of great versatility, capable of moving within an organization from task to task. The graduate will have acquired not only the standard mathematical and statistical tools, but also the basic ideas of engineering and business, and will have received training in project development and in modes of industrial communication. The program is for students planning careers in business, government or industry.

**Admission**

To be admitted to the Master of Science in Industrial Mathematics program, a person should have completed (1) the mathematics or applied mathematics courses normally required for the bachelor’s degree with a major in mathematics, statistics, economics, physics or engineering, (2) courses at the senior level in mathematical analysis, linear algebra and differential equations, and (3) have some familiarity with mathematical software programs such as Mathematica, Matlab, etc.

Students entering the program are expected to have a mathematical preparation at the level of Mathematics 421, 414 and 442. Students with deficiencies may be required to take additional course work.

**Requirements for the Master of Science Degree in Industrial Mathematics**

In addition to meeting the requirements of the University and the College of Natural Science, the student must complete a total of 36 credits for the degree under Plan B (without thesis). The student’s program of study must be approved by the student’s academic advisor, including:

1. | The following requirements for the major (36 credits): | ||||||

a. | Both of the following courses: | ||||||

MTH | 843 | Survey of Industrial Mathematics | 3 | ||||

MTH | 844 | Projects in Industrial Mathematics | 3 | ||||

b. | A minimum of four of the following courses: | ||||||

MTH | 810 | Error-Correcting Codes | 3 | ||||

MTH | 840 | Chaos and Dynamical Systems | 3 | ||||

MTH | 841 | Boundary Value Problems I | 3 | ||||

MTH | 842 | Boundary Value Problems II | 3 | ||||

MTH | 848 | Ordinary Differential Equations | 3 | ||||

MTH | 849 | Partial Differential Equations | 3 | ||||

MTH | 850 | Numerical Analysis I | 3 | ||||

MTH | 851 | Numerical Analysis II | 3 | ||||

MTH | 852 | Numerical Methods for Ordinary Differential Equations | 3 | ||||

MTH | 880 | Combinatorics | 3 | ||||

MTH | 881 | Graph Theory | 3 | ||||

c. | A minimum of two of the following courses: | ||||||

STT | 461 | Computations in Probability and Statistics | 3 | ||||

STT | 801 | Design of Experiments | 3 | ||||

STT | 843 | Multivariate Analysis | 3 | ||||

STT | 844 | Time Series Analysis | 3 | ||||

STT | 847 | Analysis of Survival Data | 3 | ||||

STT | 861 | Theory of Probability and Statistics I | 3 | ||||

STT | 862 | Theory of Probability and Statistics II | 3 | ||||

STT | 863 | Statistics Methods I | 3 | ||||

STT | 864 | Statistics Methods II | 3 | ||||

STT | 865 | Modern Statistical Methods | 3 | ||||

STT | 866 | Spatial Data Analysis | 3 | ||||

STT | 886 | Stochastic Processes and Applications | 3 | ||||

STT | 888 | Stochastic Models in Finance | 3 | ||||

d. | At least four of the following courses: | ||||||

CE | 801 | Nonlinear Structural Mechanics | 3 | ||||

CE | 829 | Mixing and Transport in Surface Waters | 3 | ||||

CE | 863 | Applied Numerical Methods for Civil and Environmental Engineers | 1 | ||||

CSE | 802 | Pattern Recognition and Analysis | 3 | ||||

CSE | 803 | Computer Vision | 3 | ||||

CSE | 830 | Design and Theory of Algorithms | 3 | ||||

CSE | 835 | Algorithmic Graph Theory | 3 | ||||

CSE | 872 | Advanced Computer Graphics | 3 | ||||

CSE | 881 | Data Mining | 3 | ||||

CSE | 885 | Artificial Neural Networks | 3 | ||||

EC | 811A | Mathematical Applications in Economics | 2 | ||||

EC | 811B | The Structure of Economic Analysis | 2 | ||||

EC | 812A | Microeconomics I | 3 | ||||

EC | 812B | Microeconomics II | 3 | ||||

EC | 813A | Macroeconomics I | 3 | ||||

EC | 813B | Macroeconomics II | 3 | ||||

EC | 816 | Economic Thought II | 3 | ||||

EC | 820A | Econometrics IA | 3 | ||||

EC | 820B | Econometrics IB | 3 | ||||

EC | 822A | Time Series Econometrics I | 3 | ||||

EC | 822B | Time Series Econometrics II | 3 | ||||

EC | 829 | The Economics of Environmental Resources | 3 | ||||

ECE | 466 | Digital Signal Processing and Filter Design | 3 | ||||

ECE | 837 | Computational Methods in Electromagnetics | 3 | ||||

ECE | 848 | Evolutionary Computation | 3 | ||||

ECE | 849 | Digital Image Processing | 3 | ||||

ECE | 863 | Analysis of Stochastic Systems | 3 | ||||

ECE | 867 | Information Theory and Coding | 3 | ||||

ECE | 885 | Artificial Neural Networks | 3 | ||||

ENE | 801 | Dynamics of Environmental Systems | 3 | ||||

ENE | 804 | Biological Processes in Environmental Engineering | 3 | ||||

ENE | 822 | Groundwater Modeling | 3 | ||||

ENE | 823 | Stochastic Groundwater Modeling | 3 | ||||

ME | 820 | Continuum Mechanics | 3 | ||||

ME | 821 | Linear Elasticity | 3 | ||||

ME | 830 | Fluid Mechanics I | 3 | ||||

ME | 840 | Computational Fluid Dynamics and Heat Transfer | 3 | ||||

ME | 851 | Linear Systems and Control | 3 | ||||

ME | 860 | Theory of Vibrations | 3 | ||||

ME | 872 | Finite Element Method | 3 | ||||

MKT | 805 | Marketing Management | 2 | ||||

MKT | 806 | Marketing Analysis | 3 | ||||

MKT | 809 | Pricing, Profitability and Marketing Metrics | 3 | ||||

MKT | 819 | Advanced Marketing Research | 3 | ||||

MKT | 865 | Emerging Topics in Business | 3 | ||||

SCM | 800 | Supply Chain Management | 3 | ||||

SCM | 826 | Manufacturing Design and Analysis | 1 | ||||

SCM | 827 | Competing Through Supply Chain Logistics | 1 | ||||

SCM | 833 | Decision Support Models | 2 | ||||

SCM | 843 | Sustainable Supply Chain Management | 2 | ||||

SCM | 853 | Operations Strategy | 2 | ||||

SCM | 854 | Integrated Logistics Systems | 2 | ||||

e. | Completion of a Certificate in Program Management. This requires completion of PHM 857 Project Management, covering such topics as formal project management culture, principles, knowledge areas, and terminology. It will normally be undertaken during the first year of enrollment with the opportunity to use the credit-no credit grading system. Certification will also require participation in Industrial Mathematics-specific discussion sessions. After the completion of the certificate program is approved by the instructors, the Industrial Mathematics Program, and the Associate Dean of the College of Natural Science, the Office of the Registrar will enter on the student’s academic record the name of the certificate program and the date it was completed. This certification will appear on the student’s transcript upon completion of the requirements for the degree program. |