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University of Minnesota

Industrial and Systems Engineering

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MS-SE Track

The Systems Engineering track MS is a 30-credit coursework-only degree. The SE core curriculum is comprised of four courses that constitute 14 credits. The other 16 credits come from electives. Core course descriptions are provided below. Students who wish to increase depth in one or more of these topics can take advanced courses from the menu of ISyE graduate courses. They can also choose from a rich assortment of sample programs to achieve breadth in a variety of application areas. Examples include Health Informatics, Nano-Engineering, Biomedical Engineering, and Industrial Mathematics.

How to Apply

Core Course Requirements

IE 5111. Systems Engineering I (2 cr; prereq upper division or grad status)
This course provides a broad-brush overview of systems-level thinking and techniques in the context of an integrated, design-oriented framework. It focuses on the elements of the systems engineering process including lifecycle, concurrent, and global engineering. Students will exit this course with a framework for engineering large-scale, complex systems.

IE 5113. Systems Engineering II (4 cr; prereq 5111, upper division or grad status, basic probability is required)
This course provides a more in-depth view of systems engineering thinking and techniques presented in Systems Engineering I course. Students will gain a hands-on understanding of techniques learned in Systems Engineering I, through application to specific problems. Additionally, the course will introduce topics pertinent to the effectiveness of the design process including design practices, organizational and reward structure required to support a collaborative, globally distributed design team.

IE 5541. Project Management (4 cr; upper division or graduate status)
This course is intended to provide an introduction to engineering project management. Its objective is to expose students to analytical methods of selecting, organizing, budgeting, scheduling, and controlling projects, including risk management, team leadership, and program management.

IE 5553 Simulation (4 cr; upper division or graduate status; some familiarity with probability and statistics is desirable)
Discrete event simulation. Using integrated simulation/animation environments to create, analyze, and evaluate realistic models for use in various industry settings, including manufacturing and service operations and systems engineering. Experimental design for simulation. Selecting input distributions, evaluating simulation output

For More Information

Please contact Dr. William Cooper.

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