MS Artificial Intelligence at Arizona State University

Programme overview

The Master of Science program in artificial intelligence prepares you for either professional practice or further graduate doctorate-level study in the rapidly growing field. The program helps you develop proficiency in both theoretical and practical AI research aimed at enabling you to independently analyze, evaluate and invent new concepts for designing efficient and reliable AI systems.

What you will study

30 credit hours - course-based master's, or 30 credit hours and a thesis, or 30 credit hours including the required applied project course (CSE 593) COURSE-BASED OPTION Required Core (6 credit hours) Students choose two of the following courses: CSE 550 Combinatorial Algorithms and Intractability (3) CSE 551 Foundations of Algorithms (3) CSE 552 Randomized and Approximation Algorithms (3) CSE 555 Theory of Computation (3) CSE 571 Artificial Intelligence (3) Statistical Learning Restricted Electives (3 credit hours) Students choose one of the following courses: CSE 524 Machine Learning Acceleration (3) CSE 569 Fundamentals of Statistical Learning and Pattern Recognition (3) CSE 572 Data Mining (3) CSE 573 Semantic Web Mining (3) CSE 575 Statistical Machine Learning (3) Embodied AI, Cognition and Perception Restricted Electives (3 credit hours) Students choose one of the following courses: CSE 509 Digital Video Processing (3) CSE 515 Multimedia and Web Databases (3) CSE 522 Real-time Embedded Systems (3) CSE 570 Advanced Computer Graphics I (3) CSE 576 Topics in Natural Language Processing (3) Reasoning and Decision Making Restricted Electives (3 credit hours) Students choose one of the following courses: CSE 556 Game Theory and Application to Networks (3) CSE 561 Modeling and Simulation Foundations for Digital Twins (3) CSE 574 Planning and Learning Methods in AI (3) CSE 579 Knowledge Representation and Reasoning (3) Electives (15 credit hours) OPTIONS WITH CULMINATING EXPERIENCE Required Core (6 credit hours) Students choose two of the following courses: CSE 550 Combinatorial Algorithms and Intractability (3) CSE 551 Foundations of Algorithms (3) CSE 552 Randomized and Approximation Algorithms (3) CSE 555 Theory of Computation (3) CSE 571 Artificial Intelligence (3) Statistical Learning Restricted Electives (3 credit hours) Students choose one of the following courses: CSE 524 Machine Learning Acceleration (3) CSE 569 Fundamentals of Statistical Learning and Pattern Recognition (3) CSE 572 Data Mining (3) CSE 573 Semantic Web Mining (3) CSE 575 Statistical Machine Learning (3) Embodied AI, Cognition and Perception Restricted Electives (3 credit hours) Students choose one of the following courses: CSE 509 Digital Video Processing (3) CSE 515 Multimedia and Web Databases (3) CSE 522 Real-time Embedded Systems (3) CSE 570 Advanced Computer Graphics I (3) CSE 576 Topics in Natural Language Processing (3) Reasoning and Decision Making Restricted Electives (3 credit hours) Students choose one of the following courses: CSE 556 Game Theory and Application to Networks (3) CSE 561 Modeling and Simulation Foundations for Digital Twins (3) CSE 574 Planning and Learning Methods in AI (3) CSE 579 Knowledge Representation and Reasoning (3) Electives (9 or 12 credit hours) Culminating Experience (3 or 6 credit hours) CSE 593 Applied Project (3) CSE 599 Thesis (6) Additional Curriculum Information This program offers a course-based option.

Career pathways

Graduates with a master's degree in artificial intelligence are able to pursue a wide range of careers with roles such as: AI consultant AI engineer AI researcher machine learning researcher machine learning or AI operations engineer natural language processing specialist robotics researcher

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 computational biology, computer engineering, computer science, electrical and electronics engineering, math, mechanical engineering, software engineering or a related field from a regionally accredited institution. Applicants must have a minimum cumulative GPA of 3.25 (scale is 4.00 = ''A'') in the last 60 hours of their first bachelor's degree program or a minimum cumulative GPA of 3.25 (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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