Academic Programs Catalog

College of Natural Science

Department of Mathematics

Graduate Study
Industrial Mathematics - Master of Science

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.


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.