The goal of the Professional Science Master’s (PSM) in Industrial Mathematics (a.k.a. MSIM) program is to produce generalized problem solvers of great versatility, capable of moving within an organization from task to task. The graduate will have studied 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 degree requires 36 credits of coursework, the successful completion of the Certificate in Project Management, and the successful completion of an oral masters certifying examination on the student’s portfolio of completed projects. The program is designed for students planning careers in business, government or industry.
List of Projects in Industrial Mathematics
Program Components Survey of Industrial Mathematics (Fall semester)
 Projects in Industrial Mathematics (Spring semester)
 Certificate in Project Management (Summer)
 Four electives in Applied Mathematics
 Two electives in Statistics
 Four cognate courses
 Portfolio defense (last semester)
Admission
To be admitted to the Master of Science in Industrial Mathematics program, applicants must 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 with a GPA greater than 3.0; (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.
Applicants must submit GRE general and subject test scores, degreegranting transcripts, and three letters of recommendation. Click here for the complete information regarding the admission process.
Support is available by serving as a Graduate Teaching Assistant for the Department of Mathematics. Click here to apply for the program (Support will automatically be considered).
You might request literature. For particular information about the program, contact Dr. Peiru Wu (peiruw@math.msu.edu), Director of PSM in Industrial Mathematics.
Degree Requirements
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 below. The student’s program of study must be approved by the student’s academic advisor, including:
 MTH 843 Survey of Industrial Mathematics (Fall semester)
This is one of the industrial mathematics core courses. The course has three objectives:
 To survey mathematics of particular importance to industry
 To gain experience in team project report generation
 To gain experience in oral presentation of project results
 1. Statistical Reasoning
 2. Monte Carlo Method
 3. Data Acquisition and Manipulation
 4. The Discrete Fourier Transform
 5. Linear Programming.
 6. Regression
 7. CostBenefit Analysis
 8. Microeconomics
 9. Ordinary Differential Equations.
 10. FrequencyDomain Methods
 11. Partial Differential Equations.
 12. Divided Differences
 13. Galerkin's Method
 14. Splines
 15. Report Writing
The last chapter “Report Writing” is the guideline to generate technical reports for your projects and write memos for your computer exercise homework. MTH 843 is designed to train the MSIM students with emphasis on technical writing and to prepare students for MTH 844 (Project in Industrial Mathematics) in spring.
 MTH 844 Projects in Industrial Mathematics (Spring
semester)
As an essential pillar of the program, this industrial mathematics core course requires students to spend the spring semester working on realworld problems, solicited from local industries and governments etc. We have a history of over 70 successfully completed projects proposed by local companies such as AutoOwners, Chrysler, Consumers Energy, Dow, Ford, General Motor, Herman Miller, Johnson Control, Pfizer, Steelcase, and many smaller firms; click here for a complete list of the descriptions and final reports of completed projects.
The outline of the course is as follows: Team of 3 graduates with undergraduates’ assistance works together for one semester
 Team chooses a significant project proposed by local industry
 Team is advised by one faculty manager in the department and one industrial liaison from the company
 Team prepares a formal written technical report of their results
 Team delivers the project report and PowerPoint presentation at industry site in the end of semester
 Certificate in Project 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 as a “notforcredit” option. Certification will also require participation in Industrial Mathematicsspecific discussion sessions. After 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 the certificate on the student’s academic record along with the term in which it was completed.
 Mathematics courses (at least 4)
 MTH 810 ErrorCorrecting Codes
 MTH 840 Chaos and Dynamical Systems
 MTH 841 Boundary Value Problems I
 MTH 842 Boundary Value Problems II
 MTH 848 Ordinary Differential Equations
 MTH 849 Partial Differential Equations
 MTH 850 Numerical Analysis I
 MTH 851 Numerical Analysis II
 MTH 852 Numerical Methods for Ordinary Differential Equations
 MTH 880 Combinatorics
 MTH 881 Graph Theory

Statistics courses (at least 2)
 STT 461 Computations in Probability and Statistics
 STT 801 Design of Experiments
 STT 843 Multivariate Analysis
 STT 844 Time Series Analysis
 STT 847 Analysis of Survival Data
 STT 861 Theory of Probability and Statistics I
 STT 862 Theory of Probability and Statistics II
 STT 863 Applied Statistics Methods I
 STT 864 Applied Statistics Methods II
 STT 865 Modern Statistical Methods
 STT 866 Spatial Data Analysis
 STT 886 Stochastic Processes and Applications
 STT 888 Stochastic Models in Finance

Cognate courses (at least 4) chosen from:
 Civil Engineering
 CE 801 Nonlinear Structural Mechanics
 CE 829 Mixing and Transport in Surface Water
 CE 863 Applied Numerical Methods for Civil and Environmental Engineers
 Computer Science and Engineering
 CSE 802 Pattern Recognition and Analysis
 CSE 803 Computer Vision
 CSE 830 Design and Theory of Algorithms
 CSE 835 Algorithmic Graph Theory
 CSE 872 Advanced Computer Graphics
 CSE 881 Data Mining
 CSE 885 Artificial Neural Networks
 Economics
 EC 811A Mathematical Applications in Economics
 EC 811B The Structure of Economic Analysis
 EC 812A Microeconomics I
 EC 812B Microeconomics II
 EC 813A Macroeconomics I
 EC 813B Macroeconomics II
 EC 816 Economic Thought II
 EC 820A Econometrics IA
 EC 820B Econometrics IB
 EC 822A Time Series Econometrics I
 EC 822B Time Series Econometrics II
 EC 829 Economics of Environmental Resources
 Electrical and Computer Engineering
 ECE 466 Digital Signal Processing and Filter Design
 ECE 837 Computational Methods in Electromagnetics
 ECE 848 Evolutionary Computation
 ECE 849 Digital Image Processing
 ECE 863 Analysis of Stochastic Systems
 ECE 867 Information Theory and Coding
 ECE 885 Artificial Neural Networks
 Environmental Engineering
 ENE 801 Dynamics of Environmental Systems
 ENE 804 Biological Processes in Environmental Engineering
 ENE 822 Groundwater Modeling
 ENE 823 Stochastic Groundwater Modeling
 Mechanical Engineering
 ME 820 Continuum Mechanics
 ME 821 Linear Elasticity
 ME 830 Fluid Mechanics I
 ME 840 Computational Fluid Dynamics and Heat Transfer
 ME 851 Linear Systems and Control
 ME 860 Theory of Vibrations
 ME 872 Finite Element Method
 Marketing
 MKT 805 Marketing Management
 MKT 806 Marketing Analysis
 MKT 809 Pricing, Profitability and Marketing Metrics
 MKT 819 Advanced Marketing Research
 MKT 865 Emerging Topics in Business
 Supply Chain Management
 SCM 800 Supply Chain Management
 SCM 826 Manufacturing Design and Analysis
 SCM 827 Competing Through Supply Chain Logistics
 SCM 833 Decision Support Models
 SCM 843 Sustainable Supply Chain Management
 SCM 853 Operations Strategy
 SCM 854 Integrated Logistics Systems
 Civil Engineering
 Portfolio Defense for PSM in Industrial Mathematics (last semester)
Other Links
MSU Mathematics Department Home
MSU College of Natural Science Professional Science Master's Programs
Professional Science Master's (PSM) Home Page
National Professional Science Master's Association (NPSMA) Home Page