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Artificial Intelligence Engineering, MS

Artificial Intelligence Engineering, MS

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Academic programs / Graduate degrees / Artificial Intelligence Engineering, MS

Artificial Intelligence, Computer Vision, Engineering, Machine Learning, Natural Language Processing, Pattern recognition, Robotics, ethics

ASU is not currently accepting applications for this program. Applicants interested in the Artificial Intelligence Engineering program should apply directly to the software engineering, materials sciences and engineering, computing sciences, robotics, mechanical engineering, electrical engineering, or human-centered artificial intelligence concentrations.


Program description
Degree awarded: MS  Artificial Intelligence Engineering

The Master of Science program in artificial intelligence engineering combines advanced study in AI approaches with deep domain expertise in the student's chosen branch of engineering. The use of AI approaches, including machine learning, natural language processing, computer vision, robotic 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 in this program learn how to develop and customize relevant AI approaches, such as those mentioned above, to engineering problems within their concentration area. 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 concentration-specific courses to ensure breadth and depth in AI and a core engineering discipline.

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/.

At a glance
  • STEM-OPT extension eligible: No

Degree requirements

Required Core (3 credit hours)
FSE 561 Artificial Intelligence Ethics and Social Responsibility (3)

AI Engineering Foundations (3 credit hours)

AI Systems and Tools (3 credit hours)

Data Collection and Evaluation for AI Systems (3 credit hours)

Electives (12, 15 or 18 credit hours)

Culminating Experience (0, 3 or 6 credit hours)
applied project (3)
portfolio (0)
thesis (6)

Additional Curriculum Information
Students should see their program advisor for a complete list of the AI engineering foundations, AI systems and tools, data collection and evaluation for AI systems, and elective course options.

Admission requirements

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:

  1. graduate admissions application and application fee
  2. official transcripts
  3. professional resume
  4. 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.

Tuition information
When it comes to paying for higher education, everyone’s situation is different. Students can learn about ASU tuition and financial aid options to find out which will work best for them.
Career opportunities

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:

  • consulting
  • manufacturing
  • product development
  • software engineering
Contact information

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.

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