UG · 4 yrs

B.Tech — Artificial Intelligence & ML

Build the intelligent systems behind modern tech — from ML models to generative AI.

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Duration4 years · 8 semesters
Eligibility10+2 with PCM (50–75%); qualifying rank in JEE Main, JEE Advanced or a state/university entrance
Typical fees₹2–18 L total
Colleges0

Course overview

B.Tech Artificial Intelligence & Machine Learning is a four-year specialised engineering degree built on a computer-science core but focused on machine learning, deep learning, data science, NLP, computer vision and increasingly generative AI. It is one of the most in-demand branches in India, offered by IITs, NITs, IIITs and a fast-growing number of private universities. The strong CS foundation keeps career options wide even beyond AI roles.

Is B.Tech — Artificial Intelligence & ML right for you?

✅ Choose it if you…

love maths, statistics and programming, and want to build intelligent systems — ML models, generative AI, vision and language applications.

⚠️ Reconsider if you…

you dislike heavy maths and statistics, or you want broad core engineering rather than a computing-and-AI specialisation.

Eligibility & entrance exams

Eligibility: 10+2 with PCM (50–75%); qualifying rank in JEE Main, JEE Advanced or a state/university entrance.

Entrance exams

JEE Main → NITs, IIITs, privateJEE Advanced → IITsState CETs → MHT-CET, KCET, WBJEE, EAMCETBITSAT, VITEEE, SRMJEEE, COMEDKUniversity-level entrances

What you’ll study

Year 1

Engineering core — maths (calculus, linear algebra), programming (Python/C), basic electronics and data fundamentals.

Year 2

Data structures, probability & statistics, DBMS, OOP, discrete maths and an introduction to machine learning.

Year 3

Machine learning, deep learning, data mining, NLP/computer vision electives, AI ethics and a minor project.

Year 4

Advanced AI (reinforcement/generative), MLOps, big-data systems, a capstone project and internship/placement.

Core subjects covered

Mathematics for AI (Linear Algebra, Statistics)Data Structures & AlgorithmsMachine LearningDeep Learning & Neural NetworksNatural Language ProcessingComputer VisionData Mining & Big DataAI Ethics & Responsible AI

Popular specialisations

Machine & Deep LearningCore model building — supervised/unsupervised learning, neural networks and model evaluation.
NLP & Generative AILanguage models, chatbots and generative systems — currently the hottest AI area.
Computer VisionImage and video understanding for healthcare, autonomous systems and analytics.
Data Science & AnalyticsTurning data into insight and prediction across business domains.
MLOps & AI EngineeringDeploying, scaling and maintaining ML systems in production — a rising must-have skill.

Admission process

1 · Qualify Class 12Clear PCM with the required aggregate for target colleges.
2 · Entrance examAppear for JEE Main/Advanced, a state CET or a private entrance.
3 · CounsellingRegister for JoSAA/CSAB or state/university counselling and fill choices.
4 · Seat allotmentAccept the allotted seat by rank and category and pay the fee.
5 · Document verificationReport to the institute, verify documents and enrol.

🗓️ JEE Main Jan & Apr · state CETs Mar–May · JoSAA/CSAB Jun–Jul · classes begin Jul–Aug. Confirm exact dates on the official sites each year.

Duration & fees

Duration: 4 years · 8 semesters, full-time.

Institute typeIndicative feesExamples
Government / NIT / IIIT₹50,000–₹2 L / yrNIT/IIIT total ~₹5–8 L
Private university₹2–4.5 L / yrVIT/SRM/Amity — ~₹10–18 L total
IIT₹2–2.5 L / yr~₹8–10 L total incl. hostel

📋 Source: official institute fee structures (2024–25). Indicative; confirm with the institute.

Career outcomes & salary

RoleIndicative fresher CTC market
Machine Learning Engineer (entry)₹6–14 L
Data Scientist₹6–13 L
AI / Deep Learning Engineer₹6–15 L
NLP / CV Engineer₹6–14 L
Data Analyst₹4–8 L

📋 Source: indicative market ranges (AmbitionBox, Glassdoor, 2026) — not official figures. Official institute placement averages are shown on each college below. Actual outcomes vary by college, skills & year.

Top recruiters

GoogleMicrosoftAmazonIBMAccentureTCSInfosysFractal AnalyticsMu SigmaNVIDIAAdobeDeloitte

📋 Source: companies reported by institute placement cells (2024). Recruiters vary by college & year.

Scholarships & funding

AICTE Pragati / SakshamFor girl and differently-abled students in technical programmes.
Central Sector ScholarshipMerit-cum-means support for top Class 12 students.
State fee-reimbursement schemesPost-matric and fee waivers for SC/ST/OBC/EWS students.
Institute & corporate AI scholarshipsMerit waivers and industry-sponsored AI/data scholarships.

Scope & future

One of India’s most demanded branches, with high entry salaries, a CS foundation that keeps options broad, and clear research and entrepreneurship paths. Excellent and rising.

📈 AI and machine learning are among the fastest-growing skill areas in India and globally, with demand outstripping supply across industries, supported by the national AI push.

Source: NASSCOM · IndiaAI Mission

Where this degree can take you next

Higher studiesM.Tech/MS in AI/ML via GATE (India) or research master’s abroad.
Research / PhDAI research in academia or corporate labs.
Emerging fieldsGenerative AI, MLOps, computer vision and responsible AI.
Industry & MBAApplied AI/data roles, or MBA in analytics for product/strategy.
AI startup / freelanceBuild AI products or consult — a strong portfolio opens doors quickly.

Top colleges offering B.Tech — Artificial Intelligence & ML

0 colleges · ranked by NIRF

*Median = institute-level NIRF median salary (official — institutes publish median, not average), where branch-specific data isn’t published. Fees from official institute structures (2024–25).

AIML vs CSE

B.Tech AIMLB.Tech CSE
FocusCS core + AI, ML, deep learning, dataBroad computer science — software, systems, theory
StrengthJob-ready for fast-growing AI/data rolesFlexibility across all of computing incl. AI
Best forThose certain they want AI/ML and love mathsThose wanting maximum breadth

Frequently asked questions

What is the eligibility for B.Tech — Artificial Intelligence & ML?

10+2 with PCM (50–75%); qualifying rank in JEE Main, JEE Advanced or a state/university entrance.

What is the fee for B.Tech — Artificial Intelligence & ML?

Indicative fees are ₹2–18 L total. Always confirm the current fee with the institute.

How long is B.Tech — Artificial Intelligence & ML?

4 years · 8 semesters.

What can I do after B.Tech — Artificial Intelligence & ML?

Common paths include Machine Learning Engineer, Data Scientist, AI / Deep Learning Engineer, NLP / Computer Vision Engineer.

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📋 Sources & data vintage

We publish the latest officially-declared figures. Official data can be 1–2 years old (the last release cycle) — that's normal; when the authority revises it, we update it here. Check back at this spot for the latest figures.

Disclaimer. Course details, fees, eligibility, salary and career information on this page are for general reference only, and may vary by location, institution, company, experience and market conditions. Figures are indicative and are not a guarantee of admission, employment or earnings — always verify with the official institution before deciding. CourseLane is an independent information platform and shall not be responsible for any decision made based on the information on this page.

Written by the CourseLane Research Team · reviewed by a senior counsellor · Last updated June 2026.