Master of Science in Industrial Engineering and Operations Research Degree Program

Course Requirements for a Master of Science Degree in Industrial Engineering and Operations Research

The MS in IEOR is a 30-credit program. The coursework only option consists of 10 courses, whereas the thesis option requires 7 courses and a 9-credit thesis. In addition to the Graduate School requirements stated in the Graduate School catalog, all master’s students in the Industrial Engineering and Operations Research program are required to take the following seven courses:

MIE 620 Linear Programming
MIE 622 Predictive Analytics and Statistical Learning
MIE 684 Stochastic Processes in Industrial Engineering
One course in the Human Factors track: MIE 657 Human Factors Design Engineering OR MIE 627 Research Methods
One course in the Decision-Making track: MIE 654 or 754 Economic Decision Making for Engineers OR MIE 686x Multicriteria Decision Making and Analysis
Two additional courses out of the following list:

Optimization track: MIE 532 Network Optimization; MIE 624 Machine Learning for Dynamic Decision-Making (Simulation Based Optimization); MIE 724 Non-Linear Programming; SCH-MGMT 752 Business Process Optimization; SCH-MGMT 797AE Stochastic Models.
Human Factors track: MIE 657 Human Factors Design Engineering OR MIE 627 Research Methods.
Production track: MIE 578 Supply Chain Logistics; MIE 651 Advanced Production Planning; MIE 553/653 Industrial Automation; MIE 659 Intelligent Manufacturing Systems; SCH-MGMT 758 Supply Chain Management.
Decision Making track: MIE 654 or 754 Economic Decision Making for Engineers; MIE 686x Multicriteria Decision Making and Analysis.
Analytics track: MIE 621 Descriptive Analytics; MIE 623 Prescriptive Analytics; MIE 624 Machine Learning for Dynamic Decision Making; MIE 659 Intelligent Manufacturing Systems.

All entering MS students who are planning to enroll in the Industrial Engineering and Operations Research program are expected to have successfully completed courses in linear algebra and probability and statistics. Entering MS students who have not taken a course at the undergraduate level covering these topics must get permission from the instructor of a required course to enroll. The instructor, at his or her discretion, may require that the student take a pre-requisite (e.g., Linear Algebra may be required as a pre-requisite for Linear Programming). This pre-requisite will not count for credit towards the graduate program requirements if it is an undergraduate level course. Those students who need make up courses should expect to take at least one additional semester to complete their graduate degree.

The remaining elective courses can be chosen from that list as well as a large array of courses offered across the university in consultation with the program advisor. Coursework only students can work on independent studies with faculty for up to 6 credits towards the MS IEOR degree. Finally, to complete all Graduate School and departmental requirements, at least 21 credits must be within the MIE Department and at least 21 credits (i.e., either 7 courses or thesis plus 4 courses) must be at the 600 level or higher. Pass/fail credits will not count towards degree completion.