Course Requirements for a Master of Science Degree in Industrial Engineering and Operations Research
In addition to the Graduate School requirements stated in the Graduate School Catalog, all M.S. students in the Industrial Engineering and Operations Research Program are required to take the following six courses:
• MIE 620 Linear Programming
• MIE 651 Production Planning I or MIE 697Q Logistics
• MIE 657 Human Factors Design Engineering
• MIE 684 Stochastic Processes in Industrial Engineering
• MIE 754 Economic Decision Making for Engineers II
• A graduate level course in the students area of interest approved by their advisor.
All entering M.S. students who are planning to enroll in the industrial engineering and operations research program are expected to have successfully completed courses covering the following topics:
linear programming, probability and statistics, and production planning. Entering M.S. 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 prerequisite (e.g., linear algebra may be required as a prerequisite for linear programming). This prerequisite 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. All students are expected to attend the weekly Industrial Engineering seminar (MIE 794).