Artificial Intelligence Engineering (Materials Science and Engineering), MS
Artificial Intelligence, Computer Vision, Engineering, Machine Learning, Materials Engineer, Materials Science, Natural Language Processing, Pattern recognition, Robotics, approved for STEM-OPT extension, ethics
Learn the advanced skills needed to apply artificial intelligence and machine learning in materials science and engineering. Take high-demand AI courses, materials science and engineering electives, and select a culminating experience that fits your needs to graduate in one to two years.
The Master of Science program in artificial intelligence engineering with a concentration in materials science and engineering combines advanced study in AI approaches with deep domain expertise in materials science.
The use of AI approaches, including machine learning, natural language processing, computer vision, robotics and pattern recognition is becoming widespread in many fields, including 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, such as those mentioned above, to materials science problems. 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 materials science and engineering-specific courses to ensure breadth and depth in AI and in materials science and engineering.
This program may be eligible for an Optional Practical Training extension for up to 24 months. This OPT work authorization period may help international students gain skills and experience in the U.S. Those interested in an OPT extension should review ASU degrees that qualify for the STEM-OPT extension at ASU's International Students and Scholars Center website.
The OPT extension only applies to students on an F-1 visa and does not apply to students completing a degree through ASU Online.
- College/school:
Ira A. Fulton Schools of Engineering
- Location: Tempe
- STEM-OPT extension eligible: Yes
30 credit hours and a thesis, or
30 credit hours including the required applied project course (MSE 593)
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 3 credit hours) Culminating Experience (0 or 6 credit hours) Additional Curriculum Information
FSE 561 Artificial Intelligence Ethics and Social Responsibility (3)
MSE 551 Applied Machine Learning for Mechanical Engineers (3)
MSE coursework (9)
MSE 593 Applied Project (3)
MSE 599 Thesis (6)
Students should see their program advisor for a complete list of approved courses.
General university admission requirements:
All students are required to meet general
university admission requirements.
U.S.
applicants | International
applicants | English
proficiency
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, materials science 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 a student's first bachelor's degree program, or applicants must have a minimum cumulative GPA of 3.00 (scale is 4.00 = "A") in an applicable master's degree program.
Applicants are required to submit:
- graduate admissions application and application fee
- official transcripts
- personal statement
- professional resume
- proof of English proficiency
Additional Admission Information
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.
Familiarity with Matlab, Python, SQL, R or other relevant programming skills must be present in the professional resume.
Materials scientists 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:
- biomaterials
- energy conversion systems
- manufacturing
- materials development
School for Engineering of Matter,Transport & Enrgy
|
ECG 202
semtegrad@asu.edu
480-965-2335
Program term definitions
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.
