Industrial and Manufacturing Systems Engineering Master's
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Master of Science Curriculum
| Code | Title | Credits |
|---|---|---|
| Didactic IMSE Courses | 15 | |
| IMSE Courses (601-689; 700-789) | ||
| Additional Credits | 6 | |
Any approved 600-700 level graduate courses outside IMSE | ||
| Graduate Seminar | 3 | |
| IMSE 790 | Seminar | 1-5 |
| Research Credits | 6 | |
| IMSE 798 | Master's Thesis | 1-10 |
| Publication Requirement | ||
All graduate students are required to submit one article to a refereed journal or refereed conference based on their thesis research. | ||
| Total Credits | 30 | |
Master of Engineering Curriculum
The Master of Engineering degree requires thirty credits of graduate-level study. All students are expected to demonstrate an acceptable level of achievement in the core competencies defined for the designated degree. This achievement may be demonstrated through coursework completed prior to admission or through courses successfully passed while attending North Dakota State University. All core competencies for the degree must be achieved prior to completion of the degree program. It is important to note that currently IME has limited scheduled 700 level classes and additional resources (instructors) may be required to expand the class offering. In summary, a Master of Engineering requires the completion of 30 credit hours of graduate level didactic classes.
| Code | Title | Credits |
|---|---|---|
| Core Competencies | ||
| IMSE 600-level courses | ||
| IMSE 630 | Process Engineering | 3 |
| IMSE 631 | Production Engineering | 3 |
| IMSE 660 | Evaluation of Engineering Data | 3 |
| IMSE 670 | Operations Research I | 3 |
| IMSE 672 | Simulation of Business and Industrial Systems | 3 |
| IMSE 700-level course (choose at least three credits from the following) | 3 | |
| IMSE 765 | Data Analysis | 3 |
| IMSE 770 | Quantitative Modeling | 3 |
| IMSE 771 | Probabilistic and Deterministic Methods | 3 |
| Electives (choose a minimum of 12 credits from the following list) | 12 | |
| IMSE 611 | Human Factors Engineering | 3 |
| IMSE 633 | Additive Manufacturing | 3 |
| IMSE 640 | Engineering Economy | 3 |
| IMSE 650 | Systems Engineering and Management | 3 |
| IMSE 651 | Logistics Engineering and Management | 3 |
| IMSE 653 | Hospital Management Engineering | 3 |
| IMSE 656 | Program and Project Management | 3 |
| IMSE 661 | Quality Assurance and Control | 3 |
| IMSE 662 | Total Quality In Industrial Management | 3 |
| IMSE 680 | Production and Inventory Control | 3 |
| IMSE 682 | Automated Manufacturing Systems | 3 |
| IMSE 684 | Scheduling Methods | 3 |
| IMSE 685 | Industrial and Manufacturing Facility Design | 3 |
| IMSE 665 | Introduction to Machine Learning | 3 |
| IMSE 765 | Data Analysis | 3 |
| IMSE 770 | Quantitative Modeling | 3 |
| IMSE 771 | Probabilistic and Deterministic Methods | 3 |
| IMSE 774 | Neural Networks | 3 |
| IMSE 775 | Data Driven Modeling and Optimization | 3 |
| IMSE 777 | Graph Data Analytics | 3 |
| Total Credits | 99 | |
Notes
- Maximum of 9 transfer credits
- The selected IME 700-level core course(s) cannot be double counted as elective course(s).
- With approval, students may substitute up to 6 credits with graduate, didactic-level courses from other departments.
Admission and Application Requirements
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Graduate School admission and application requirements are found on the Admission Information page.
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In addition, this program requires applicants to submit a GRE score that meets the following requirements:
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310 or higher (Verbal + Quantitative), 160 Quantitative minimum and Analytical Writing score of 3.5 or better
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International students must also meet the following English proficiency requirements:
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Minimums for admission: TOEFL: 71 IELTS: 6.0 Duolingo: 105
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Minimums for TA Graders: TOEFL: 79 IELTS: 6.5 Duolingo: 110
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Minimums for TA Instructors: TOEFL: 81 IELTS: 7.0 Duolingo: 115
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