Artificial Intelligence Engineering (Operations and Decision Science), MS
Learn the advanced skills needed to apply artificial intelligence and machine learning in industrial engineering, with an emphasis on operations research and decision science. Take high-demand core courses and disciplinary electives, select a culminating experience that fits your needs, and graduate in one to two years.
Quick facts
Locations
Credits
Additional facts
STEM-OPT extension eligible: Yes
International students (F1) can extend U.S. work experience by 24 months.
Accreditation
Accredited by the Higher Learning Commission.
Degree description
The Master of Science program in artificial intelligence engineering with a concentration in operations and decision science combines advanced study in AI approaches with deep domain expertise in industrial engineering.
The use of AI approaches, including machine learning, natural language processing, computer vision, robotics and pattern recognition, is becoming widespread in many fields, plus all engineering disciplines. Yet, the majority of engineering occupations require subject matter expertise beyond AI.
You learn how to develop and customize relevant AI approaches to industrial engineering problems. Emerging AI applications in industrial engineering include the identification of bottlenecks and inefficiencies in production, better approaches for managing inventories, and improving the capabilities of production workers and engineers. A core curriculum in AI engineering foundations, AI systems and tools, AI ethics and social responsibility, and data collection and evaluation for AI systems is complemented by industrial engineering-specific courses to ensure breadth and depth in AI and in industrial engineering.
GI Bill® benefits
This new program is not yet approved for use with GI Bill® benefits.
GI Bill® is a registered trademark of the U.S. Department of Veterans Affairs. More information about education benefits offered by VA is available at the official U.S. government website at https://www.benefits.va.gov/gibill/.
Curriculum
This graduate degree includes courses focused on a specialized topic, so you can advance your skills for further professional opportunities. Explore all courses below.
30 credit hours and a portfolio, or
30 credit hours and a thesis
Required Core (3 credit hours) AI Engineering Foundations (3 credit hours) AI Systems and Tools (3 credit hours) Data Collection and Evaluation for AI Systems (3 credit hours) Concentration (12 credit hours) Electives (0 or 6 credit hours) Culminating Experience (0 or 6 credit hours) Additional Curriculum Information
FSE 561 Artificial Intelligence Ethics and Social Responsibility (3)
IEE 505 Information Systems Engineering (3)
IEE 545 Advanced Simulating Stochastic Systems (3)
IEE 561 Production Systems (3)
IEE 572 Design Engineering Experiments (3)
IEE 573 Reliability Engineering (3)
IEE 574 Applied Deterministic Operations Research (3)
IEE 575 Applied Stochastic Operations Research Models (3)
IEE 578 Regression Analysis (3)
IEE 599 Thesis (6)
portfolio (0)
Students complete either a portfolio or thesis option. Portfolio students also take six credit hours of electives. Students should see their program advisor for a complete list of approved course options.
Admission requirements
Here are the admission and application details
All students are required to meet general university admission requirements.
U.S. applicants (opens in new window) | International applicants (opens in new window) | English proficiency (opens in new window)
Applicants must fulfill the requirements of both the Graduate College and the Ira A. Fulton Schools of Engineering. Applicants are eligible to apply to the program if they have earned a bachelor's or master's degree in computing, engineering, mathematics, statistics, operations research, information technology or a related field from a regionally accredited institution. Applicants must have a minimum cumulative GPA of 3.00 (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. Applicants are required to submit: Additional Admission Information The resume should reflect familiarity with Matlab, Python, SQL, R or other relevant programming skills. The personal statement should be 300 to 500 words describing the applicant's motivation and rationale for pursuing the MS in Artificial Intelligence Engineering (Operation and Decisions Science) at Arizona State University and how it relates to their long-term career goals.
An applicant whose native language is not English must provide proof of English proficiency regardless of current residency by scoring at least 4 on the Internet-based TOEFL (iBT)®, or a score of 80 if taken before January 21, 2026, in a testing center; 6.5 on the IELTS; or 105 on the Duolingo English test.
Application deadlines
| Session | Modality | Deadline | Type |
|---|---|---|---|
| Session A/C | In Person | 12/01 | Priority* |
| Session | Modality | Deadline | Type |
|---|---|---|---|
| Session A/C | In Person | 08/01 | Priority* |
*A priority deadline means that applications submitted and completed before the priority deadline will receive priority consideration. Applications submitted after the priority deadlines will be reviewed in the order in which they were completed and on a space-available basis. An application is complete after all materials are received by Admission Services.
Paying for college
Use our calculator to estimate your full-time or part-time tuition fees for this program prior to any financial aid. Keep in mind that most of our students recieve financial aid, which can reduce out-of-pocket costs.
Get an estimateCareer opportunities
Industrial engineers with a background in AI can pursue opportunities in a variety of fields to develop, customize and apply AI systems and tools while taking ethical and societal considerations into account. These skills can be applied to industries including:
- advanced predictive maintenance
- factory automation
- health care systems
- supply chain optimization
Contact information
Use the contact information below to get in touch if you're a current student or have general questions.
Prospective students should fill out the Request for Information form.
Industrial, Systems & Operations Engineering Prgm
|
CTRPT 105
scai.grad.admission@asu.edu
480-965-3199
Frequently asked questions about degree programs
Accelerated programs allow students the opportunity to expedite the completion of their degree.
Accelerated master's
These programs allow students to accelerate their studies to earn a bachelor's plus a master's degree in as few as five years (for some programs).
Each program has requirements students must meet to be eligible for consideration. Students typically receive approval to pursue the accelerated master's during the junior year of their bachelor's degree program. Interested students can learn about eligibility requirements and how to apply.
Concurrent degrees allow students to pursue their own personal or professional interests, earn two distinct degrees and receive two diplomas. To add a concurrent degree to your existing degree, work with your academic advisor.
Joint programs, or jointly conferred degrees, are offered by more than one college and provide opportunities for students to take advantage of the academic strengths of two academic units. Upon graduation, students are awarded one degree and one diploma conferred by two colleges.
ASU adds new programs to Degree Search frequently. Come back often and look for the "New Programs" option.
ASU Online offers programs in an entirely online format with multiple enrollment sessions throughout the year. See https://asuonline.asu.edu/ for more information.
The Western Regional Graduate Program (WRGP) provides a reduced tuition rate to non-resident graduate students who qualify. Visit the WRGP/WICHE webpage for more information: https://graduate.asu.edu/wiche.
