MS Artificial Intelligence Engineering (Human-Centered Artificial Intelligence) at Arizona State University

Programme overview

The Master of Science program in artificial intelligence engineering with a concentration in human-centered artificial intelligence combines advanced study in AI approaches with deep domain expertise in human systems. 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.

What you will study

30 credit hours and a portfolio, or 30 credit hours and a thesis, or 30 credit hours including the required applied project course (HSE 593) 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) Concentration (6 credit hours) HSE 524 Human Automation Interaction (3) Students select one additional course: HSE 530 Intermediate Statistics for Human Systems Engineering (3) HSE 540 Foundations of Applied Cognitive Science (3) HSE 542 Foundations of Human Systems Engineering (3) OMT 548 Statistical Methods for Research (3) TEM 530 Statistics Bootcamp for Industry (3) Other Requirements (3 credit hours) Electives (3, 6 or 9 credit hours) Culminating Experience (0, 3 or 6 credit hours) HSE 593 Applied Project (3) HSE 599 Thesis (6) portfolio (0) Additional Curriculum Information Students should see their program advisor for a complete list of approved courses.

Career pathways

Human systems 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 areas such as: human-robot teaming learning design product design workplace and patient safety

Official programme page

Application information

Entry requirements

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.

Domestic applicants: USD 13,327 a year (2026-27). Arizona resident tuition. Tuition only for the graduate on-campus (Tempe/Downtown Phoenix/Polytechnic/West Valley) rate band in the ASU tuition estimator, 2026-27: Fall 2026 plus Spring 2027 term tuition summed (full-time flat rate; part-time credit loads Source

International applicants: USD 24,780 a year (2026-27). International tuition. Tuition only for the graduate on-campus (Tempe/Downtown Phoenix/Polytechnic/West Valley) rate band in the ASU tuition estimator, 2026-27: Fall 2026 plus Spring 2027 term tuition summed (full-time flat rate; part-time credit loads ar Source

Entry terms: Fall, Spring and Summer; the terms available for each programme are listed in Degree Search.

Graduate application deadlines are set by each programme office and listed in Degree Search; the application opens almost a year before the start term. The nonrefundable application fee is $75 for U.S. citizens, permanent residents, DACA and international online students outside the U.S., and $120 for international students on a nonimmigrant visa studying in the U.S. Apply with ASU's graduate application (Law applicants use the law college's site); GRE/GMAT requirements vary by programme.

Apply through the official page: https://admission.asu.edu/apply/graduate/admission

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