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Which universities in the USA offer MS Artificial Intelligence for a B.Tech Civil graduate and ₹60 lakhs budget?

22 Jun 2026 · Answered by Mohit Tanna · 3 min read
Quick Answer verified

Yes, a B.Tech Civil Engineering degree qualifies for MS AI programs in the USA with the right university choices. Your Rs.60L budget easily covers tuition at universities like Lewis University (approx. Rs.25L), UT San Antonio (approx. Rs.30L), and UC Boulder (approx. Rs.33L). You will need to demonstrate math and programming competency given your non-CS background.

Mohit Tanna
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Your B.Tech in Civil Engineering is actually stronger preparation for an AI Master's than you might realise - the calculus, differential equations, and statistics you studied in civil engineering are the exact math foundations that AI programs build on. The key is targeting universities that run career-switcher-friendly programs and explicitly welcome STEM graduates from non-CS backgrounds. Your Rs.60L budget gives you good flexibility across a range of strong US programs, with tuition typically running between Rs.21L and Rs.40L for the full degree, leaving budget for living expenses.

Top US Universities for MS AI Matching a B.Tech Civil Profile

University

Program

Estimated Total Tuition

Key Advantage for Civil Graduate

Lewis University

MS in Artificial Intelligence

Approx. Rs.25L (USD 30,000)

Accepts 60% or 6.0 CGPA in any engineering; foundational programming modules built in

University of Texas at San Antonio (UTSA)

MS in Artificial Intelligence

Approx. Rs.30L (USD 32,000-36,000)

Dedicated interdisciplinary AI program; accepts broad engineering backgrounds; lower Texas living costs

University of Colorado Boulder

MS in Data Science / AI Track

Approx. Rs.33L (USD 35,000-40,000)

Performance-based admissions via gateway courses; no GRE required for eligible applicants

Drexel University

MS in AI and Machine Learning

Approx. Rs.37L (USD 38,000-45,000)

Bridge curriculum for non-CS STEM engineers; co-op job placement program

Arizona State University (ASU)

MS in Computer Science (with prereqs) or MS in User Experience with AI focus

Approx. Rs.39L (USD 42,000-48,000)

Top brand recognition; large Indian student community; strong tech networking in Arizona

Alternative Route: AI Applied to Civil Engineering

University

Program

Estimated Tuition

Specialisation

Case Western Reserve University

MS in Civil Engineering with AI and ML Specialisation

Approx. Rs.45L (USD 45,000)

AI for smart buildings, structural failure prediction, traffic optimisation - perfect civil background fit

Profile Strengthening Steps for B.Tech Civil Applicants

Action

Why It Matters

Where to Do It

Complete Python, Data Structures, and ML certifications

Addresses the coding gap directly; must be mentioned in SOP

Coursera, edX, or Google Certificates

Build a GitHub portfolio with 2-3 AI projects

Shows practical implementation ability beyond coursework

GitHub - include in resume and application

Highlight math-heavy Civil courses in SOP

Calculus, differential equations, and statistics are directly relevant to AI

Statement of Purpose

GRE preparation

A strong Quant score (160+) compensates for non-CS degree background

Self-study or coaching

My Advice

Start your Python and ML certificate courses now, before you even begin writing your SOP - because by the time you apply, you will have concrete evidence of your transition to AI, not just intent. The universities on this list genuinely welcome engineering switchers, but they want to see that you have taken initiative. For your SOP, the framing that works best is connecting your civil engineering domain knowledge to a specific AI application - predictive structural health monitoring, smart city planning, or construction cost estimation using ML - this makes your profile memorable and positions your background as an advantage, not a gap to apologise for.

Shortlist by Our Counsellors

12 universities · 1 tier
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Target
UNI

MS in Artificial Intelligence

University of Bridgeport

Bridgeport · USA


Tuition/yr

$36.5k

Duration

24 mo

Intake(s)

Fall / Winter

Target
UNI

MS in Artificial Intelligence (STEM)

University of North Texas

Denton · USA


Tuition/yr

$36.2k

Duration

24 mo

Intake(s)

Winter / Summer / Fall

Target
HAR

MS in Information Systems Engineering and Management - Artificial Intelligence for Business

Harrisburg University of Science and Technology

Harrisburg · USA


Tuition/yr

$34.4k

Duration

24 mo

Intake(s)

Winter / Summer / Fall

Target
SAN

MS in Artificial Intelligence

San Jose State University

San Jose · USA


Tuition/yr

$35.0k

Duration

24 mo

Intake(s)

Fall / Winter

Target
SAI

MS in Artificial Intelligence

Saint Louis University

St. Louis · USA


Tuition/yr

$50.4k

Duration

24 mo

Intake(s)

Fall / Winter / Summer

Target
ARI

MS in Robotics and Autonomous Systems (STEM)

Arizona State University

Tempe · USA


Tuition/yr

$60.7k

Duration

24 mo

Intake(s)

Fall / Winter

Target
UNI

MEng in Artificial Intelligence

University of Cincinnati

Cincinnati · USA


Tuition/yr

$27.9k

Duration

12 mo

Intake(s)

Fall / Winter / Spring

Target
TEE

MSc in Artificial Intelligence

Teesside University

Middlesbrough · UK


Tuition/yr

£17k

Duration

12 mo

Intake(s)

Fall / Winter / Summer

Target
LON

MSc in Artificial Intelligence

London Metropolitan University

London - Canada · UK


Tuition/yr

£18.1k

Duration

12 mo

Intake(s)

Winter / Fall

Target
ANG

MBA in Project Management and Artificial Intelligence with Professional Experience

Anglia Ruskin University

Cambridge - UK · UK


Tuition/yr

£20.2k

Duration

24 mo

Intake(s)

Winter / Summer / Fall

Target
UNI

Executive Master of Business Administration - Artificial Intelligence

University of Saint Mary

Leavenworth · USA


Tuition/yr

$14.4k

Duration

24 mo

Intake(s)

Winter / Fall / Summer

Target
WES

MS in Artificial Intelligence

Western Connecticut State University

Danbury · USA


Tuition/yr

$15.0k

Duration

12 mo

Intake(s)

Winter / Fall

*Figures are approximate. Verify on official university websites before applying.

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