ASU Artificial Intelligence Engineering MS Concentrations: Tracks, Admission and Costs for Indians

All 12 AI Engineering MS Concentrations at ASU

The ASU Artificial Intelligence Engineering MS offers 12 concentrations across engineering, computing and applied science domains. Every concentration awards the same MS degree title. Only your transcript names the specialisation. The full list is published on the official program site at ai-ms.engineering.asu.edu. Each concentration keeps the same 12-credit AI core and swaps the 9 concentration credits.

Note: The concentration on your transcript is a signal to recruiters. Applying to a self-driving car team is easier with "Robotics" than "Software Engineering", even if your courses overlap.

Core Curriculum for Every AI Engineering MS

Every AI Engineering MS concentration shares a 12-credit AI core. This is what makes the degree a real AI qualification, not just an add-on. The four core courses are the same across all 12 tracks. That means a Mechanical Engineering concentration graduate and a Software Engineering concentration graduate take identical AI classes.

The four required core courses

• FSE 561: AI Ethics and Social Responsibility (3 credits). Covers bias, fairness, privacy and policy.
• AI Engineering Foundations (3 credits). Covers the maths and algorithms behind machine learning.
• AI Systems and Tools (3 credits). Covers ML frameworks, cloud platforms and MLOps basics.
• Data Collection and Evaluation for AI Systems (3 credits). Covers dataset design, labelling and model evaluation.

Concentration and capstone credits

After the core, students take 9 credits in the chosen concentration. The final 9 credits are electives plus a culminating experience. Options include a thesis (6 credits), an applied project (3 credits) or a portfolio (0 credits) depending on concentration.

Admission Requirements for AI Engineering MS

ASU requires a 3.0 GPA in the last 60 credit hours plus programming proficiency in Python, MATLAB, SQL or R. A bachelor’s degree in engineering, computing, mathematics, statistics or IT is required.

The application is entirely online. There is no GRE requirement for this program.

What ASU asks every applicant to submit

• Graduate application and fee filed on the ASU portal.
• Official transcripts from every college attended.
• Statement of purpose tied to the concentration you pick.
• Professional resume that lists programming skills, projects and internships.
• English proficiency proof for non-native English speakers.

English proficiency scores accepted

Also check,

• Arizona State University admission process for 2026-27
• Documents Required for US University Applications 2027
• US Student Visa Requirements: Cost, Application & Process
• Fall Intake in USA 2026-27: Application Deadlines 

Total ASU AI Engineering MS Cost in INR

The total two-year cost for the ASU AI Engineering MS lands around USD 108,000, or roughly INR 1.03 crore for an Indian student. Tuition alone is USD 30,348 per year at graduate base rate. Add mandatory fees, engineering college fees, health insurance and living costs. That is what pushes the number past the sticker.

Annual cost breakdown for international graduate students

Conversions based on a USD-INR rate of INR 95.24 as of August 10, 2026. Rates fluctuate; check the current rate before financial planning.

Engineering college fees can add USD 2,000 to USD 4,000 per semester on top of base tuition. Budget an extra 5 to 8% for rupee weakening across two years.

• Off-campus housing in Tempe costs USD 900 to USD 1,300 a month for shared rooms.
• Meal costs drop to USD 250 to USD 350 a month for students who cook.
• Health insurance is mandatory unless waived with an approved private plan.

You can compare on-campus and off-campus rent through the ASU Tempe accommodation and housing options for international students.

AI Engineering MS Application Deadlines

Fall priority deadline is December 31. Spring priority deadline is July 31. Admission decisions arrive by March 1 for Fall and October 1 for Spring.

ASU also lists concentration-level deadlines that differ from the program-wide date. Always check the specific concentration’s degree page.

12-month application timeline for Fall 2027 intake

Eligibility is broader than most expect. Applicants qualify with a bachelor's or master's in computing, engineering, mathematics, statistics, operations research, information technology or a related field from a regionally accredited institution, international applicants add English proficiency evidence, and high achieving ASU undergraduates can compress the path through the accelerated bachelor's plus master's route in as little as five years. Source: ASU Graduate College and Fulton Schools admission requirements.

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The ASU Artificial Intelligence Engineering MS concentrations are built for students who want an AI degree without leaving their engineering field. The core is real AI. The concentration is where you earn your domain edge. Software Engineering and Computing Sciences suit CS graduates. Mechanical, Aerospace, Robotics and Materials suit core engineers. Match the concentration to your bachelor’s degree, chase a Fulton assistantship early, and plan your resume for both US and global markets from day one.