Artificial Intelligence Engineering (Electrical Engineering), MS
Artificial Intelligence, Computer Vision, Electrical Engineering, Engineering, Machine Learning, 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 electrical engineering. Take high-demand AI courses and electrical 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 electrical engineering combines advanced study in AI approaches with deep domain expertise in electrical engineering.
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. Yet, the majority of engineering occupations require subject matter expertise beyond AI.
Students learn how to develop and customize relevant AI approaches to electrical engineering problems. A core curriculum in AI engineering foundations, AI systems and tools, AI ethics and social responsibility and data collection and evaluation for AI systems is complemented by electrical engineering-specific courses to ensure breadth and depth in AI and in electrical engineering. This degree program is the only of its kind that prepares electrical engineering students for the AI-enabled engineering of the future.
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: Tempe
- STEM-OPT extension eligible: Yes
30 credit hours and a thesis, or
30 credit hours including a portfolio
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 or 9 credit hours) Culminating Experience (0 or 6 credit hours) Additional Curriculum Information
FSE 561 Artificial Intelligence Ethics and Social Responsibility (3)
EEE 554 Probability and Random Processes (3)
EEE 560 Mathematical Foundations of Machine Learning (3)
EEE coursework (3)
EEE 599 Thesis (6)
portfolio (0)
Students should see their program advisor for a complete list of approved courses.
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 professional resume should specify familiarity with Matlab, Python, SQL, R or other relevant programming skills.
| Session | Modality | Deadline | Type |
|---|---|---|---|
| Session A/C | In Person | 12/31 | Priority |
| Session | Modality | Deadline | Type |
|---|---|---|---|
| Session A/C | In Person | 07/31 | Priority |
Electrical 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:
- electrical networks
- embedded power systems
- microelectronics
- power electronics
- quantum systems
Electrical Engineering Program
|
GWC 209
AskEE@asu.edu
480-965-3424
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.
