The MS in Industrial Engineering program prepares students to give practical and economically efficient solutions to real-life, complex problems — solutions that require a system level approach. Examples of these problems include health delivery, food and energy systems, as well as those that arise in the strategic planning of manufacturing, logistics operations and service industries.
Some of the toolks used to address these problems include statistics, optimization, computer simulation and advanced analytics
Quick Facts
Full-time
30 credit hours
Online or Campus Immersion
Tempe Campus
STEM-OPT Option Available
Students enrolled at an ASU Cintana Alliance Network institution have the chance to start their courses at their home institution and transfer those credits* to finish their remaining years at ASU.
Models available: Graduate dual degree and accelerated masters.
FSE 501: Technology Entrepreneurship
FSE 502: Strategic Enterprise Innovation
IEE 571: Quality Management
IEE 572: Design Engineering Experiments
Required Core (12 credits):
IEE 505: Information Systems Engineering (3) or IEE 506 – Web-enabled Decision Support Systems (3)
IEE 545: Advanced Simulating Stochastic Systems (3) or – – IEE 561 Production Systems (3)
IEE 572: Design Engineering Experiments (3) or IEE 573 Reliability Engineering (3) or IEE 578: Regression Analysis (3)
IEE 574: Applied Deterministic Operations Research (3) or – IEE 575 Applied Stochastic Operations Research Models (3)
Electives (12 or 18 credit hours)
Culminating Experience (0 or 6 credit hours)
IEE 599: Thesis (6) or portfolio (0)
*Transfer eligibility is subject to student performance in bridge courses and Arizona State University transfer requirements.
This course covers information systems application engineering. Topics include information technology, application and database engineering, data modeling, data organization, process mapping and user interface development.
This course covers the development and analysis of web-enabled applications for decision support. Topics in the course include web application development using ASP.NET as well design for computing scalability, interface usability and cybersecurity. Students also learn how to apply development skills and design concepts to develop a decision support system.
This course covers stochastic systems using basic queuing networks and discrete event simulation. Basic network modeling, shared resources, routing and assembly logic are explored.
Industrial engineers integrate people, processes, equipment, information and systems to do things better. The industrial engineering graduates will be developing, implementing and improving processes, operations and systems in industries for manufacturing, services, communications, agriculture or any other field.
Graduates of the Master of Science program in industrial engineering are suited for careers in logistics, finance, defense, travel and health care.
Applicants are eligible to apply to the program if they have earned a bachelor’s or master’s degree in any field from a regionally accredited institution.
Applicants must have a minimum cumulative GPA of 3.20 (scale is 4.00 = “A”) in the last 60 hours of their first bachelor’s degree program or a minimum cumulative GPA of 3.00 (scale is 4.00 = “A”) in an applicable master’s degree program.
Proof of English proficiency: (TOEFL>90 iBT, IELTS>7.0, Pearson Test of English>68, Duolingo>125), all taken within the last two years from start date.
Statement of Purpose
At the time of application, all applicants must have successfully completed a minimum of nine credit hours of calculus (Calculus I, II, III) with a grade of “C” (scale is 4.00 = “A”) or higher.
Deficiency Courses: A student with any deficiency coursework must complete each deficiency with a grade of “B” or better (scale is 4.00 = “A”) within two semesters of admission to the program. Deficiency courses include:
CSE 110: Principles of Programming
CSE 205: Object-oriented Programming and Data Structures
MAT 242: Elementary Linear Algebra
IEE 376: Operations Research Deterministic Techniques/Applications
IEE 380: Probability and Statistics for Engineering Problem Solving
IEE 470: Stochastic Operations Research
*CSE 110 and MAT 242 will be removed as a deficiency starting Fall 2025.
| Enrollment Path MS in Industrial Engineering | Credit Hours Completed at Institution | Credit Hours Completed at ASU | Estimated Duration | Total Program Cost |
|---|---|---|---|---|
| Articulated Pathway (ASU Cintana Alliance) | 12 | 18 | 1 year (2 semesters) | ~$34,420 (immersion) ~ $18,079 (Online) |
| Direct ASU Enrollment (International student) | 30 | 1-1.5 years (2-3 semesters) | ~$55,986 (immersion) ~$30,098 (Online) |
Note 1: This is an estimate only. Based on ASU 2024-25 published tuition and fee rates. Subject to change for future years.
Note 2: Tuition calculation for Articulated Pathway for MS Industrial Engineering is based on 9 credits (Fall), 9 credits (Spring);
Note 3: Additional scholarships may be available for qualifying students.
| Program Start | Application Deadline | Classes Begin | Tuition Payment Deadline |
|---|---|---|---|
| Spring start (January) | December 16, 2024 | January 13, 2025 | January 25, 2025 |
| Fall start (August) | July 25, 2025 | August 21, 2025 | August 27, 2025 |
| Spring start (January) | December 16, 2025 | January 12, 2026 | January 25, 2026 |