Artificial Intelligence Engineering (Robotics), MS
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 so you can graduate in one to two years.
Quick facts
Locations
Credits
Additional facts
STEM-OPT extension eligible: Yes
International students (F1) can extend U.S. work experience by 24 months.
Accreditation
Accredited by the Higher Learning Commission.
Degree description
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.
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 you have a breadth and depth of understanding 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.
Curriculum
This graduate degree includes courses focused on a specialized topic, so you can advance your skills for further professional opportunities. Explore all courses below.
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)
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)
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.
Admission requirements
Here are the admission and application details
All students are required to meet general university admission requirements.
U.S. applicants (opens in new window) | International applicants (opens in new window) | English proficiency (opens in new window)
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: Additional Curriculum Information The resume should reflect familiarity with Matlab, Python, SQL, R or other relevant programming skills.
An applicant whose native language is not English must provide proof of English proficiency regardless of current residency by scoring at least 4 on the Internet-based TOEFL (iBT)®, or a score of 80 if taken before January 21, 2026, in a testing center; 6.5 on the IELTS; or 105 on the Duolingo English test.
Application deadlines
| Session | Modality | Deadline | Type |
|---|---|---|---|
| Session A/C | In Person | Rolling* |
| Session | Modality | Deadline | Type |
|---|---|---|---|
| Session A/C | In Person | Rolling* |
*A rolling deadline means that applications will continue to be reviewed on a regular basis until the semester begins. International students should be mindful of visa deadlines to ensure there is time to produce necessary visa documents. Applicants are encouraged to complete and submit application materials as soon as possible for consideration.
Explore expanded study opportunities
This program allows you to obtain both a bachelor's and a master's degree in as little as five years. As a high-achieving student, accelerated bachelor's plus master's degree programs are designed for you to share undergraduate coursework with graduate coursework to accelerate completion of your master's degree. These programs feature the same high-quality curriculum taught by ASU's world-renowned faculty.
This program is offered as an accelerated bachelor's plus master's degree with:
Approval to pursue the accelerated master's is typically granted during the junior year of your bachelor's degree program. If you are interested, you can learn more about eligibility requirements and how to apply.
Paying for college
Use our calculator to estimate your full-time or part-time tuition fees for this program prior to any financial aid. Keep in mind that most of our students receive financial aid, which can reduce out-of-pocket costs.
Get an estimateCareer opportunities
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
Contact information
Use the contact information below to get in touch if you're a current student or have general questions.
Prospective students should fill out the Request for Information form.
School of Manufacturing Systems and Networks
|
ISTB12 301
msngrad@asu.edu
480-727-2097
Frequently asked questions about degree programs
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.
