ASU Artificial Intelligence Engineering MS Concentrations Complete Guide for Indian Students

Quick Facts on ASU AI Engineering MS

Source: ASU Degree Search and ai-ms.engineering.asu.edu, August 2026.

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.

Source: ai-ms.engineering.asu.edu, August 2026.

Key Insight: 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.

ASU also runs a separate MS in Robotics and Autonomous Systems with an AI concentration. That is a different degree code, so do not confuse the two when applying.

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.

The thesis path takes closer to two years. The applied project path fits inside three semesters if you take 9 credits per term.

AI Engineering MS Concentrations by Domain

The 12 concentrations fall into three groups: pure computing, core engineering and applied sciences. Each group hires into a different recruiter pool.

Understanding the group matters more than picking one concentration inside it. The group decides your career map.

Pure computing group

This group covers Software Engineering, Computing Sciences and Human-Centered AI. These tracks compete for the same jobs as an MS Software Engineering at ASU graduate, plus AI-specific roles.

• Roles include ML engineer, AI software developer, MLOps engineer and applied scientist.
• Recruiters include Amazon, Microsoft, Google, Apple, Adobe, Cisco and Intel.
• The Software Engineering concentration sits at the Polytechnic campus, not Tempe main.

Core engineering group

This group covers Aerospace, Chemical, Electrical, Mechanical, Manufacturing and Materials Science. Graduates work at the intersection of AI and traditional engineering. Autonomous vehicles, smart manufacturing and materials discovery hire from here.

Applied science group

This group covers Robotics, Intelligent Biomedical Systems, Operations and Decision Science, and Sustainable Engineering. Robotics is popular with Indian students and often overlaps with the ASU MS Robotics and Autonomous Systems (Artificial Intelligence) degree.

Key Insight: The Software Engineering and Computing Sciences concentrations draw the biggest applicant pool. That also means the toughest competition for internships in the first summer.

Biomedical, Materials and Sustainable Engineering see fewer applicants. Fit and research match matter more than headline recruiter counts in those tracks.

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

Source: ai-ms.engineering.asu.edu admission page, August 2026.

ASU checks the acceptance rate for graduate programs separately from the university-wide number. You can review the current Arizona State University acceptance rate for Indian applicants before you finalise your school list.

Check the complete Arizona State University admission process for 2026-27

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

Source: admission.asu.edu international cost page, 2026-27 rates.

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.

Scholarships for AI Engineering MS Students

ASU does not offer a general graduate merit scholarship for international students. Aid comes through department-level fellowships and Teaching or Research Assistantships instead.

An assistantship is the single biggest funding tool for Indian students at ASU. It bundles a stipend, tuition waiver and health insurance.

Assistantships and fellowships to target

• Teaching Assistantship (TA): around USD 26,544 per academic year plus tuition remission.
• Research Assistantship (RA): similar stipend, tied to a specific faculty grant.
• Fulton Fellowships: the Ira A. Fulton Schools award close to 400 fellowships to master’s students each year.
• New American University scholarship: USD 3,000 to USD 10,000, mainly for undergraduates but a few graduate departments extend it.

Reach out to faculty in your concentration before you apply. RA offers are often locked in during the admission review, not after.

Check the full list of Arizona State University scholarships for international students

How to Pick Your AI Engineering Concentration

Pick the concentration that matches your bachelor’s degree, not the highest-paying label. ASU expects prerequisite coursework aligned with your track.

If X is your undergraduate degree, then the same X concentration keeps your admission chances highest. That means Z: your application looks coherent to the review committee.

Match your background to a concentration

• BE/BTech CS or IT: Computing Sciences, Software Engineering or Human-Centered AI.
• BE/BTech ECE or EEE: Electrical Engineering or Robotics.
• BE/BTech Mechanical: Mechanical Engineering, Manufacturing or the ASU MS Mechanical Engineering if you want deeper mechanics.
• BE/BTech Chemical: Chemical Engineering or Materials Science.
• BE/BTech Biomedical: Intelligent Biomedical Systems.
• BE/BTech Industrial: Operations and Decision Science or Manufacturing.

What each concentration gives you

• Deep AI training that recruiters recognise as an ML background.
• Domain electives that count as engineering credits, not just AI theory.
• Access to a specific research lab and faculty group at ASU.

What the concentration does not cover

• Guaranteed ML engineer role at FAANG. Concentration alone does not open that door.
• Broad computer science depth. Pure CS goes deeper into systems, databases and theory.
• Cross-track switching after admission. You can add electives but the concentration on transcript stays.

Key Insight: A weak match between your bachelor’s and your chosen concentration is the most common rejection reason. A mechanical graduate applying for Software Engineering without coding projects is a red flag.

AI Engineering MS Careers and Salaries

ASU graduate placements sit at 89% within three months, with entry salaries between USD 95,000 and USD 115,000 for computing MS graduates. All 12 concentrations are STEM-designated. That gives F-1 holders 12 months of OPT plus a 24-month STEM extension.

The AI Engineering MS is new. Public salary data for the exact degree is thin. The closest proxy is ASU MS Computer Science outcomes, since the two feed into similar roles.

Typical roles by concentration group

Source: ASU Career Services and Fulton placement summaries.

H-1B reality after OPT

The H-1B lottery moved to a beneficiary-centric, wage-weighted model. Entry-level Level I roles now have around 15% annual selection odds, down from about 30%. Three STEM OPT lottery attempts are the buffer for Indian students who want to stay.

If your H-1B does not clear, then Canada, Germany or the UK remain fallback options. That means planning your resume for global mobility from year one is safer than betting on one country.

Check the latest Arizona State University placement data for MS graduates

Read what current and past students say about the value of the program on the Arizona State University student reviews page before you commit.

AI Engineering MS vs MS Computer Science

The AI Engineering MS is for students who want AI paired with a specific domain. The MS Computer Science is for students who want depth in CS fundamentals.

Both are 30-credit STEM MS degrees at ASU. Both take one to two years. The difference is in electives, prerequisites and recruiter perception.

Side-by-side view

Source: ASU Degree Search program listings.

The ASU MS in Computer Science remains the default for CS graduates aiming at pure software or general ML roles. AI Engineering suits an ECE, mechanical or chemical graduate who wants an AI degree without switching disciplines.

If data roles are the target, the ASU MS in Data Science, Analytics and Engineering is a third option worth reviewing.

Key Insight: Recruiter parsing tools rank "MS Computer Science" higher than "MS Artificial Intelligence Engineering" in keyword filters. Compensate by loading your resume with named ML tools and shipped projects.

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

Source: ASU AI Engineering MS admission page and ASU academic calendar.

If your Fall priority window closes, then applications stay open until seats fill. That means Z: apply as early as you can for the best assistantship shot.

Check every ASU program and course with fees and deadlines

Also Check:

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.