Artificial Intelligence Engineering (Computing Sciences), MS
Gain advanced skills to apply artificial intelligence and machine learning in computing. Through a combination of coursework and a customizable culminating experience, you can complete the program 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.
ASU is not currently accepting applications for this program.
Degree description
The Master of Science program in artificial intelligence engineering with a concentration in computing sciences combines advanced study in AI approaches with deep domain expertise in computing.
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 engineering computing 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 computing-specific courses to ensure breadth and depth in AI and in computing.
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, or
30 credit hours including the required applied project course (CSE 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 (9 credit hours) Electives (3, 6 or 9 credit hours) Culminating Experience (0, 3 or 6 credit hours) Additional Curriculum Information
FSE 561 Artificial Intelligence Ethics and Social Responsibility (3)
CSE 571 Artificial Intelligence (3)
CSE 500-level courses (6)
CSE 593 Applied Project (3)
CSE 599 Thesis (6)
portfolio (0)
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 Application Information The resume should reflect familiarity with MATLAB, Python, SQL, or R, or other relevant programming skills.
An applicant whose native language is not English must demonstrate proficiency in the English language with a TOEFL iBT® score of 4.5, or 90 if taken before January 21, 2026; 7 on the IELTS or 115 on the Duolingo English test, regardless of current residency.
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 receive financial aid, which can reduce out-of-pocket costs.
Get an estimateCareer opportunities
Computer 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:
- cybersecurity
- database development and management
- software development
- software integration and product design
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.
School of Computing and Augmented Intelligence
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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.
