Artificial Intelligence Engineering (Robotics), MS
Artificial Intelligence, Computer Vision, Engineering, Industrial Engineer, Machine Learning, Manufacturing, Natural Language Processing, Pattern recognition, Robotics, approved for STEM-OPT extension, ethics
Learn the advanced skills needed to apply artificial intelligence and machine learning in robotics. Take high-demand AI courses and robotics engineering 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 robotics combines advanced study in applied AI with robotics engineering.
This program enables students not only to develop their 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 their data science skills through interdisciplinary courses offered within and beyond engineering.
A core curriculum in robotics, articulated robots, aerial robots, human robot teaming, robot learning, AI engineering foundations, AI systems and tools, AI ethics and social responsibility, and data collection and evaluation for AI systems is complemented by robotics engineering-specific courses to ensure breadth and depth in AI and in robotics engineering. The main data science elements consist of data processing, data visualization, data mining and machine learning. Machine learning and deep learning, as well as their applications in robotics, are included to highlight the industrial use cases of data and AI.
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/.
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
- Location: Polytechnic
- 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 (RAS 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)
RAS 585 Machine Learning and Artificial Intelligence (3)
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)
portfolio (0)
RAS 593 Applied Project (3)
RAS 599 Thesis (6)
Students should see their program advisor for a complete list of the 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.
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
School of Manufacturing Systems and Networks
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TECH 105
msninfo@asu.edu
480-965-2272
Admission deadlines
3 year programs
These programs allow students to fast-track their studies after admission and earn a bachelor's degree in three years or fewer while participating in the same high-quality educational experience of a 4-year option. Students should talk to their academic advisor to get started.
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. Acceptance to the graduate program requires a separate application. 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.
