Industrial engineers (IEs) are systems thinkers who combine math, data science, engineering, economics, social science, and business methods to help organizations improve their products and services, mitigate risks, and more generally, make better decisions. 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 in linear algebra and probability and statistics. 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.
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