Montana State University

Graduate Program in Industrial and Management Engineering

The PhD Program

The College of Engineering offers a graduate program to obtain a Ph.D. in Engineering.  This program includes a Ph.D. Option in Industrial Engineering that is administered by the
Industrial and Management Engineering (I&ME) graduate program.  

Degree Requirements

Ph.D. candidates must accumulate 60 total credit hours beyond the bachelor’s degree including the following:

  • ENGR 600
  • ENGR 610
  • 3 credits of advanced math
  • 3 credits numerical methods
  • 24 credits of other graded courses
  • 18 dissertation credits

Ph.D. candidates under the IE Option must take a minimum of 30 credits of 500-level courses (in addition to ENGR 610 and ENGR 611), of which at least 18 credits must be EIND courses, excluding thesis and project credits.  Students must take at least two courses from each of the two emphasis areas: (  Human Factors and Service Engineering.  Double counting is not allowed; any course can be applied to only one emphasis area.  Courses selected to meet the emphasis area requirement can also be used to meet the advanced math and numerical methods.  EIND 554 meets the advanced math requirement, while EIND 509 and EIND 548 meet the numerical methods requirement, although other courses may qualify pending approval in writing from the I&ME Graduate Studies Committee.  

Candidates can meet the above requirements using up to 24 course credits from a prior Master’s degree, but excluding independent study, project, thesis, or dissertation credits. The student’s graduate committee will determine course equivalency as needed, and document such in the student’s file.

We prefer to have a faculty advisor identified for every Ph.D. student prior to entering our program.  Thus, we recommend you contact the I&ME Graduate Program Coordinator with your research interests before applying so that we can begin matching your research interests with an appropriate faculty member (see admission guidelines).


PhD Program Research Areas

Human Factors

  • Ergonomic Safety (Traffic Safety)
  • Rehabilitation & Sports Biomechanics
  • Driver Behavior & Traffic Safety Culture
  • Affective & Sustainable Design
  • Interface Design & Evaluatiion for Intelligent Transportation Systems


Process and Product Design

  • Concurrent Engineering
  • Design Process Optimization
  • Usability Engineering

Service Systems Engineering

  • Lean Operations
  • Health Care Delivery
  • Leadership & Change Management
  • Multi-Attribute Decision Making