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MS in Industrial Engineering
Wayne State University


The MS program in industrial engineering is built on a core designed to provide breadth of
experience in systems modeling, analysis, and applications common in industrial engineering and operations analysis. Building upon this common foundation, the student constructs a specialization in one of the following six areas:

  • ï‚· General option
  • ï‚· Lean operations management
  • ï‚· Healthcare systems engineering
  • ï‚· Thesis option

Courses Required:
The Plan of Work is intended to assist the student in structuring the course work for the MS degree. Students are urged to discuss their program with the appropriate program coordinator (identified along with the program description). The Plan of Work should be filed by all students in the program before completing 1 2 credits. Students will be notified by the graduate program office regarding the acceptance of the plan. The Plan of Work is a contract that describes all requirements to be met for the degree. The Plan of Work should be treated as a living document. If there are any changes to your program, you must file a new Plan of Work and receive approval. Failure to keep your Plan of Work updated can delay graduation.

  • General option (Plan C)
  • Specialization: Lean operations management (Plan C)
  • Specialization: Healthcare systems engineering (Plan C)
  • Thesis option (Plan A) Core Courses (Must Achieve 'B' Grade or Better)
  • IE 6560: Deterministic Optimization
  • IE 621 0: Applied Engineering Statistics
  • IE 6240: Quality Management System (or IE 761 0: Six Sigma)



Annual Tuition Fee*

24 Months

Course Duration


Course Credits

On Campus

Delivery Medium

Course Link

Tuition Link



Application Fee


Application Link

Application Deadline







Official transcripts, Resume, Personal statement, Letters of recommendation, Application Fee, GRE scores, Verify academic records, I-20 financial support

Min English Scores





Academic Pre-Requisites

Admission to this program is contingent upon admission to the Graduate School. These are the
additional requirements:

  • Bachelor’s degree in engineering from an institution accredited by the Accreditation Board for Engineering and Technology (ABET), or in a closely related analytical discipline. In addition, master's level students are expected to have a solid quantitative background with demonstrated competencies in probability and statistics.
    • Honor point average of 2.8 in the upper division of their undergraduate program
    • The GRE is NOT required for applicants. However, high GRE scores will be considered as an incentive for the evaluation process.
  • In addition, students who have an undergraduate degree in mathematics, physics, computer science, or other discipline with a strong analytical base may be considered for admission. Applicants whose undergraduate education is deficient in prerequisites for graduate classes may be required to take background courses that will NOT count toward the thirty-two-credit degree requirement.



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Average Profile of Admits







Karthick Karthi


Industrial Engineering
  • fall 2021

Vadlmude Sai Rithvik


Industrial Engineering
  • spring 2022

Bhargav Krishna


Industrial Engineering
  • fall 2021

Gr Vats


Industrial Engineering
  • fall 2021

Sujith Andhe


Industrial Engineering
  • spring 2022


Many graduate students pursue their studies in the College while working full or part-time in local industry, where they have available to them unique facilities not found within the University. Students in such situations are encouraged to pursue their graduate research at their places of employment, under the joint supervision of the faculty advisor and a company representative. Such research may be applicable as credit earned for directed study courses, master’s theses, or doctoral dissertations. However, after completion of a Bachelor of Science degree and one or more years of on-the-job experience, additional training at the graduate level is often desirable without participation in a research program, and the College provides an optional master’s degree program without a thesis research requirement.

Graduates will be able to:

  • Integrate, model, continuously improve, control, and if necessary redesign, enterprise
  • Perform data analysis and optimization for enterprise decision making
  • Develop business cases for justifying process, organizational and technological projects
  • Support enterprise performance, quality, efficiency and productivity enhancement activities
  • Facilitate systems engineering and project management
  • Communicate effectively (written, verbal and presentation) across all levels in the enterprise
  • Develop an ability to grow through life long acquisition of knowledge

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