Industrial Engineering (M.S.)
The M.S. 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.
Program Objectives
Graduates will be able to:
- Integrate, model, continuously improve, control, and if necessary redesign, enterprise activities
- 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
Students must achieve at least a 'B' (3.0) grade point average and achieve 'B' or greater in ISE M.S. core courses. A limited number of grades below 'B' and 'B-', though unsatisfactory for graduate level work, may be applied toward a graduate degree provided they are offset by a sufficient number of higher grades to maintain a grade point average of 3.0. Unsatisfactory grades can constitute reason for dismissal from the MSIE program at the department or program's discretion.
Admission Requirements
Admission to ISE M.S. programs is contingent upon admission to the Graduate School. The M.S. in Industrial Engineering program requires a baccalaureate degree in engineering and an approximate 2.8 GPA or equivalent in upper division undergraduate courses. Conditions to admission or prerequisites may be assigned in the admissions process. The GRE is NOT required, however, high GRE scores will be considered in application evaluation. Students with degrees in related disciplines with a strong analytical base are also considered. Applicants whose undergraduate education is deficient in prerequisites for graduate classes may be required to take background courses that will NOT count toward the 30-credit degree requirement.
Applicants can provide supplemental materials such as resume, personal statement, GRE scores, and letters of recommendation to support their application.
Prospective students should contact M.S. Industrial Engineering Program Chair Dr. Jeremy Rickli for program information or Graduate Program Coordinator Beth Madigan for admissions and application concerns.
The Master of Science in Industrial Engineering is offered under the following options: Plan A (thesis option) and Plan C (coursework option). Students must achieve a minimum of a B grade in each core course.
Plan A - Thesis
Minimum thirty credits including six to eight thesis credits. If a thesis option (Plan A) is selected, six to eight credits of Master’s Thesis Research and Direction (IE 8999) is required. Student pursuing Plan A must take nine credits of IE core courses and design an individual program of study that must be approved by both the thesis research advisor and the appropriate MS program chair or graduate advisor. To register for ISE thesis credits, students must submit the thesis credit registration approval form to their appropriate MS program chair or graduate advisor. Up to two courses (six to eight credits) may be earned in courses outside the Industrial and Systems Engineering Department, but require approval by the appropriate MS program chair or graduate advisor. All course work must be completed in accordance with the regulations of the Graduate School and the College of Engineering.
Note: M.S. student pursuing IE 6991 Industrial Internship for curriculum practical training (CPT) may use a maximum of 6 IE 6991 credits towards the M.S in Industrial Engineering degree requirements. Except in specific cases, IE 6991 must be taken in 2 credit blocks.
Course Requirements
| Code | Title | Credits |
|---|---|---|
| IE core course requirement (9 credits) | ||
| Applied Engineering Statistics | ||
| Deterministic Optimization | ||
| Production and Service Systems | ||
| Thesis credit requirement (6-8 credits) | ||
| Master's Thesis Research and Direction | ||
| Electives: 13-15 credits | ||
Plan C - Coursework
Minimum thirty credits of course work. Plan C requires nine credits of IE core for the general option and nine credits of IE core if a concentration is pursued. While ISE core courses provide fundamental IE knowledge, depth within a specific IE field can be acquired by completing an MS IE concentration in Lean Systems, Analytics, or Systems Engineering. Students interested in an area not among the concentrations listed should elect the general option. Up to two courses (six to eight credits) may be earned in courses outside the Industrial and Systems Engineering Department, but require approval by the appropriate MS program chair or graduate advisor. All course work must be completed in accordance with the regulations of the Graduate School and the College of Engineering.
Note: M.S. student pursuing IE 6991 Industrial Internship for curriculum practical training (CPT) may use a maximum of 6 IE 6991 credits towards the M.S in Manufacturing Engineering degree requirements. Except in specific cases, IE 6991 must be taken in 2 credit blocks.
General Option
| Code | Title | Credits |
|---|---|---|
| IE core course requirement (9 credits) | ||
| Applied Engineering Statistics | ||
| Deterministic Optimization | ||
| Production and Service Systems | ||
| Electives: 21 credits | ||
Lean Systems
| Code | Title | Credits |
|---|---|---|
| IE core course requirement (9 credits) | ||
| Applied Engineering Statistics | ||
| Deterministic Optimization | ||
| Production and Service Systems | ||
| Concentration course requirement (9 credits) | ||
| Lean Operations and Manufacturing (REQUIRED) | ||
| Value Engineering | ||
| Quality Engineering | ||
| Supply Chain Management | ||
| Flexible Manufacturing Systems | ||
| Computer Simulation Methods | ||
| Facilities Design and Materials Flow | ||
| Fundamentals of Six Sigma | ||
| Electives: 12 credits | ||
Analytics
| Code | Title | Credits |
|---|---|---|
| IE core course requirement (9 credits) | ||
| Applied Engineering Statistics | ||
| Production and Service Systems | ||
One course from the two operations research courses listed below | ||
| Deterministic Optimization | ||
| Operations Research | ||
| Concentration course requirement (9 credits) | ||
| Data Science and Analytics (REQUIRED) | ||
| Computer Simulation Methods | ||
| Data Mining: Algorithms and Applications | ||
| Intelligent Analytics | ||
| Intelligent Systems: Algorithms and Tools | ||
| Econometrics I | ||
| Database Management Systems I | ||
| Electives: 12 credits | ||
Systems Engineering
| Code | Title | Credits |
|---|---|---|
| IE core course requirement (9 credits) | ||
| Applied Engineering Statistics | ||
| Deterministic Optimization | ||
| Production and Service Systems | ||
| Concentration course requirement (9 credits) | ||
| Introduction to Systems Engineering in Design (REQUIRED) | ||
| Creative Problem Solving in Design and Manufacturing | ||
| Value Engineering | ||
| Quality Management Systems | ||
| Engineering Experimental Design | ||
| Integrated Product Development | ||
| Engineering Risk and Decision Analysis | ||
| Project Management | ||
| Systems Engineering Thinking and Concepting | ||
| Adaptive Acquisition | ||
| Electives: 12 credits | ||