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Master of Engineering in
Industrial Engineering


You must successfully complete 30 course credits at the 400-, 500-, or 800-level, of which 21 course credits must be earned at Penn State (i.e. only 9 credits can be transferred from other institutions). In addition:

  • All students must successfully complete three credits of IE 894, Capstone Design.
  • At least 18 credits must be in 500-level or higher courses (including IE 894).
  • At least 15 credits must be in 500-level or higher IE courses (including IE 894).
  • At least 21 credits of the 30 credits must be IE courses (including IE 894).

The Master of Engineering in Industrial Engineering has limited formal course requirements; you and your adviser can tailor the program specifically to suit your needs and educational goals by choosing from the following list of courses.

Course List - Master of Engineering in Industrial Engineering

Title Abbreviation Description Credits
Advanced Engineering Economy IE 402 Concepts and techniques of analyses useful in evaluating engineering projects under deterministic and uncertain conditions. 3 credits
Retail Services Engineering IE 478 Introduction to retail services operations, process models, and application of information technologies to enhance productivity and profitability. 3 credits
Human Centered Product Design and Innovation IE 479 Consumer product design for a global market, incorporating human factors principles and user desires in a multicultural perspective. 3 credits
Linear Programming IE 505 An accelerated treatment of the main theorems of linear programming and duality structures plus introduction to numerical and computational aspects of solving large-scale problems. 3 credits
Experimental Design in Engineering IE 511 Statistical design and analysis of experiments in engineering; experimental models and experimental designs using the analysis of variance. 3 credits
Applied Stochastic Processes IE 516 Study of stochastic processes and their applications to engineering and supply chain and information systems. 3 credits
Additive Manufacturing Processes  IE 527 Comprehensive study of the fundamentals, process characteristics, economics, and practical applications of various additive manufacturing processes. 4 credits
Mechanics of the Musculoskeletal System IE 552 Structure and biomechanics of bone, cartilage, and skeletal muscle; dynamics and control of musculoskeletal system models. 3 credits
Engineering of Human Work IE 553 Physics and physiology of humans at work; models of muscle strength, dynamic movements; neural control; physical work capacity; rest allocation. 3 credits
Human-in-the-Loop Simulation IE 557 Design and programming of simulations that facilitate human control, real-time discrete-event simulation, supervisory control of dynamic system. 3 credits
Engineering of Cognitive Work IE 558 Information processing and decision making models of the human in the modern workplace, emphasizing visual inspection and other industrial applications. 3 credits
Manufacturing Processes and Materials IE 560 Materials processing and manufacturing methods for engineering materials; manufacturing process modeling and control; manufacturability of engineering materials. 3 credits
Foundations of Predictive Analytics IE 575 Survey course on the key topics in predictive analytics. 3 credits

Students may select from a list of elective courses maintained by the program. This list may change over time in response to market demand. Students may also use the graduate certificate courses in Additive Manufacturing and Design,  Supply Chain Management, and Engineering Leadership and Innovation Management. If you would like to add one of these credentials to your transcript and have questions about the application process, please contact the program at [email protected] for assistance to discuss your options and view the most up-to-date list.

Culminating Project and Research
Title Abbreviation Description Credits
Capstone Design IE 894

Students will apply the analytical and design skills learned in previous courses to solve an industrial problem based on their workplace or industrial partner. Students who do not have an identifiable work-related problem will work collaboratively with the instructor to develop a suitable topic. This is an individual project culminating in a final report.

3 credits

Course Availability

If you're ready to see when your courses will be offered, visit our public LionPATH course search (opens in new window) to start planning ahead.

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