MS Artificial Intelligence Engineering (Robotics) at Arizona State University

Programme overview

The Master of Science program in artificial intelligence engineering with a concentration in robotics combines advanced study in applied AI with robotics engineering. This program enables you not only to develop your core expertise in robotics and industrial automation, digital twins, data informatics and applications of generative AI and LLMs in robotics and industrial automation, but also to enhance your data science skills through interdisciplinary courses offered within and beyond engineering.

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 (RAS 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 (9 credit hours) RAS 585 Machine Learning and Artificial Intelligence (3) Students select two of the following: RAS 507 Image Processing and Analysis (3) RAS 545 Robotic Systems I (3) RAS 546 Robotic Systems II (3) RAS 550 Mechatronic Systems (3) RAS 555 Mechatronics Device Innovation (3) RAS 556 System Control and Optimization (3) RAS 557 Foldable Robotics (3) Electives (3, 6 or 9 credit hours) Culminating Experience (0, 3 or 6 credit hours) portfolio (0) RAS 593 Applied Project (3) RAS 599 Thesis (6) Additional Curriculum Information Students should see their program advisor for a complete list of the approved course options.

Career pathways

Robotics 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: autonomous vehicles intelligent manufacturing robots mobile drone swarms surgical robots

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

Explore more study programmes

Engineering