Artificial Intelligence Engineering (Computing Sciences), MS
Artificial Intelligence, Cognitive science, Computer, Computer Vision, Engineering, Machine Learning, Natural Language Processing, Pattern recognition, Robotics, Science, approved for STEM-OPT extension, ethics
This program is coming soon for fall 2026.
Learn the advanced skills needed to apply artificial intelligence and machine learning in computing. Take high-demand core courses, disciplinary 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 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.
Students 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.
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
- STEM-OPT extension eligible: Yes
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.
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, 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:
- graduate admissions application and application fee
- official transcripts
- professional resume
- proof of English proficiency
Additional Curriculum Information
An applicant whose native language is not English must provide proof of English proficiency regardless of current residency by scoring at least 90 on the Internet-based TOEFL (iBT) taken in a testing center, 7 on the IELTS, or 115 on the Duolingo English test.
The resume should reflect familiarity with Matlab, Python, SQL, R or other relevant programming skills.
Computer engineers with a background in artificial intelligence 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 integration and product design
- software development
School of Computing and Augmented Intelligence
|
CTRPT 105
scai.grad.admission@asu.edu
480-965-3199
Admission deadlines
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.
