Course Requirements for a MS in Engineering Management

The MS in Engineering Management is a 30-credit, 10-course program. In addition to the Graduate School requirements stated in the Graduate School Catalog, all M.S. in Engineering Management students are required to take the following courses:

Mandatory Courses

  • MIE 622 Predictive Analytics and Statistical Learning
  • MIE 645 Project Budgeting and Finance for Engineers
  • MIE 670 Technical Project Management

Management Depth (Choose 2 courses at minimum)

  • MIE 664 Engineering Leadership and Entrepreneurship
  • MIE 671 Product Management
  • MIE 672 Strategy-Driven Engineering Innovation
  • SCH-MGMT 636 Negotiations Theory and Practice
  • SCH-MGMT 783 / MIE 585 Business Law / Engineering Law and Ethics

Engineering/Analytics Depth (Choose 3 courses at minimum)

  • MIE 532 Network Optimization *currently not offered*
  • MIE 578 Supply Chain Logistics
  • MIE 621 Descriptive Analytics
  • MIE 623 Prescriptive Analytics
  • MIE 624 Machine Learning for Dynamic Decision-Making
  • MIE 646 Introduction to Systems Engineering
  • MIE 550/650 Vehicle Automation
  • MIE 651 Advanced Production Planning
  • MIE 654 Economic Decision Making I
  • MIE 657 Human Factors Design Engineering
  • MIE 659 Intelligent Manufacturing Systems
  • MIE 686X Multicriteria Decision Making and Decision Analysis
  • MIE 690D Deep Learning for Engineering Application
  • MIE 754 Economic Decision Making II
  • SCH-MGMT 602 Database Management for Analytics

Electives (6 total credits)

  • Additional courses from the lists above
  • Independent study guided by faculty advisor (up to 6 credits)
  • Courses at the 500-level or higher within the student’s STEM field with advisor’s approval
  • or any of the following classes:

Mechanical & Industrial Engineering Courses

  • MIE 553/653 Industrial Automation
  • MIE 556 Augmented and Virtual Reality Design
  • MIE 565 Operations Research in Healthcare
  • MIE 573 Engineering Windpower Systems
  • MIE 620 Linear Programming
  • MIE 627 Research Methods
  • MIE 684 Stochastic Processes
  • MIE 724 Non-Linear Programming

Isenberg School of Management Courses

  • SCH-MGMT 601 Data Management for Business Leaders
  • SCH-MGMT 637 Analysis for General Managers
  • SCH-MGMT 650 Statistics for Business
  • SCH-MGMT 655 Machine Learning for Analytics
  • SCH-MGMT 660 Marketing Strategy
  • SCH-MGMT 663 Supply Chain Analytics
  • SCH-MGMT 670 Operations Management
  • SCH-MGMT 680 Leadership and Organizational Behavior
  • SCH-MGMT 752 Business Process Optimization
  • SCH-MGMT 758 Supply Chain Management

To complete the full program requirements, students must take at least five program courses from the MIE Department, and no more than three courses outside MIE and ISOM. Finally, the department requires 21 credits at the 600 level or higher and will not count any pass/fail credits towards the degree. Please contact Mr. Nauman Tazeem, Assistant Director of the MS-EM Program, with any questions.

TA positions in the MIE department are limited in number, and are generally reserved for PhD students. RA positions are decided by individual faculty based on their lab needs, and if you find on-going research that is a good match for your interests and expertise, you are welcome to reach out to see if they have openings. Please refer to Riccio College of Engineering and Graduate School assistantship and externship policies for additional guidelines.

Graduate Certificate Options within MSEM >>

Within the 30 credits of MSEM studies, students can get certificate credentials along the way by choosing the appropriate sets of courses.