Industrial and Systems Engineering MS: Engineering Management

Engineering managers are needed in a number of different industries, from manufacturing, energy, transportation, healthcare and information systems to scientific research, military and government operations. An engineering manager leads research and development teams to discover new processes, ensure sound methodology, check the technical accuracy of the team’s work and manage a project’s budget and timeline effectively. 

Graduates with master's degrees in engineering management are reportedly receiving some of the highest salary increases in the country. A graduate student with advanced engineering management skills can enter the marketplace with the tangible credentials and intangible leadership qualities to help push their career forward. 

Join us at an upcoming information session, in person or online, to learn more about the Engineering Management track available in our MS in Industrial and Systems Engineering program. 

Engineering Management Plan of Study 

This course track prepares students for professional or leadership roles in engineering management in highly technical and complex teams, departments and organizations. Students will master the engineering and management skills needed to excel in their future positions, create new opportunities and grow as respected, competent engineering managers, strategic planners and/or policy makers. 

This MS ISE degree concentration is available in-person and fully online. 

Required coursework 

Students must complete these seven courses.

• SSIE 505 - Applied Probability & Statist.

  Basic concepts in probability and statistics required in the modeling of random processes and uncertainty. Bayes' formula, Bayesian statistics, independent events; random variables and their descriptive statistics; distribution functions; Bernoulli, Binomial, Hypergeometric, Poisson, normal, exponential, gamma, Weibull and multinomial distributions; Chebyshev's theorem; central limit theorem; joint distributions; sampling distributions; point estimation; confidence intervals; student-t, x squared and F distributions; hypothesis testing; contingency tables, goodness of fit, non-parametric statistics, regression and correlation. Prerequisite: one year of calculus. Term offered varies. 3 credits. Levels: Graduate, Undergraduate

• SSIE 510 - Enterprise Systems Engineering

  Global competition is serving as a catalyst for continuous process improvement and the methodical enhancement of system-wide efficiencies. This is true in disciplines ranging from the medical arena and service related systems to manufacturing. The underlying science that contributes to the systematic analysis of complex enterprise-wide systems is the focus of this course. Concepts that can be used in a synergistic manner to enhance an enterprise's efficiency and profitability will be addressed. Prerequisite: Graduate standing or permission of instructor. Term offered varies. 3 credits. Levels: Graduate, Undergraduate

• SSIE 515 - Operations Mgmt Supply Chains

  This course deals with management of Supply chains, in particular, with the operational aspects. A broad overview of supply chains of a company is introduced, together with performance measures and needed critical success factors. The course concentrates on supplies, inventories, manufacturing, and logistics of distribution. Managerial aspects as well as mathematical modeling for better planning and control will be covered. Enabling the supply chains by enterprise resource planning modules and e-commerce will also be discussed. Prerequisite: SSIE 505 or equivalent. Crosslisted with ISE 415. Term offered varies. 3 credits. Levels: Graduate, Undergraduate

• SSIE 520 - Modeling And Simulation

  Stochastic processes, review of probability and statistics, covariance, input data selection, random number generators, non-parametric tests for randomness, generation of random variates, output data analysis, terminating and non-terminating simulations, model validation, comparison of alternatives, variance reduction techniques, sensitivity analysis, experimental design and predictive models. Prerequisite: SSIE 505 or equivalent. Term offered varies. 3 credits. Levels: Graduate, Undergraduate

• SSIE 522 - Advanced Decision Modeling

  Course provides a broad foundation in decision models and techniques used in industry and research for technical and managerial problems. Topics include decision theory, risk and uncertainty, value of information, preference measurements, prioritization of alternatives, multiple objectives and hierarchical decisions. Prerequisite: SSIE 505 or equivalent. Crosslisted with ISE 422. Term offered varies. 3 credits. Levels: Graduate, Undergraduate

• SSIE 553 - Operations Research

  Operations research (OR) is devoted to the determination of the best course of action of a decision problem, given resource restrictions. Course provides the engineer with a firm grounding in the use of OR (mathematical) techniques devoted to the modeling and analysis of decision problems. Techniques include the following: decision modeling; linear, integer and dynamic programming; emerging optimization techniques (e.g., genetic algorithms, simulated annealing, etc.); game theory; and queueing theory. Problem areas include the following: transportation models; project/production scheduling; inventory models; assignment problems. Prerequisite: Graduate standing or permission of instructor. Term offered varies. 3 credits. Levels: Graduate, Undergraduate

• SSIE 565 - Engineering Project Management

  Effective Engineering Project Management is critical to business and organizational success. This course will teach students both the technical and the sociocultural dimensions of Engineering Project Management. Students will be thoroughly trained in the following topics: Project Selection, Organization Structure and Culture, Project Definition, Project Time and Cost Estimation, Project Networks, Project Risk Management, Resource Scheduling, Project Crashing, Leadership, Team Management, Outsourcing, Progress Monitoring and Project Evaluation, and Project Closure. Microsoft Project software will be used to demonstrate activities, duration, task relationships, Gantt Charts, network diagrams and the Critical Path Method with case studies of contemporary engineering projects. Students will learn how to better control financial, physical, and human resources, improve stakeholder relations, shorten development times, lower costs, and increase profit. Offered Fall, Spring, or Summer as needed. 3 credits. Levels: Graduate, Undergraduate

Degree-completion options 

Students select one of the following degree-completion options:

• Thesis: One additional graduate-level course at the 600-level, plus 6 credits of an engineering management-related thesis followed by oral presentation and defense.
• Project: Two additional graduate-level courses from the department (at least one of which must be at the 600-level), plus 3 credits of an engineering management-related termination project followed by oral presentation and defense.
• Coursework only: Two additional graduate-level courses and SSIE 664 Advanced Engineering Management, which includes project-based coursework to serve as a capstone for the termination requirement of the program.