MTech in AI

MTech in Artificial Intelligence in India: Colleges, Fees, Syllabus, and Career Opportunities

ByAayush Kukreja

An MTech in AI is one of the most popular PG courses today, offering expertise in machine learning and AI systems. Read all about this course here, including fees, syllabus, jobs and more. 

In the rapidly evolving landscape of technology, M.Tech in Artificial Intelligence has emerged as one of the most sought-after postgraduate programs in India. This 2-year engineering-focused degree equips students with advanced skills in machine learning, deep learning, neural networks, natural language processing, computer vision, and ethical AI systems—preparing them to build intelligent solutions that power industries like healthcare, finance, autonomous vehicles, and more. With India’s AI market booming and global demand for skilled professionals skyrocketing, pursuing an M.Tech in AI from top institutes opens doors to high-impact careers and cutting-edge research.

Whether you’re searching for details on M.Tech AI admission through GATE 2026, top colleges like IIT Hyderabad, IIT Delhi, IISc Bangalore, IIT Bombay, or IIT Madras, eligibility criteria, syllabus breakdown, total fees (ranging from ₹50,000 in government colleges to ₹10+ lakh in private ones), placements, or average starting salaries often exceeding ₹15–40 LPA from premier institutions—this complete course overview covers everything you need.

Dive in to discover if this program aligns with your ambitions, how to secure admission, what the curriculum truly entails semester by semester, and the real-world opportunities waiting after graduation.

M Tech in Artificial Intelligence: Course Overview and Key Highlights

The MTech in Artificial Intelligence program in India is a 2-year postgraduate course providing in-depth knowledge of artificial intelligence and machine learning. Here is a key overview of this course:

Feature Description
Course Level Postgraduate
Duration 2 years
Average Fees INR 50,000 – INR 5,00,000
Eligibility Bachelor’s degree in relevant field with minimum percentage
Entrance Exams GATE, College-Specific Entrance Exams
Job Roles Data Scientist, AI Engineer, Machine Learning Engineer
Top Recruiters Google, Microsoft, Amazon, IBM, Accenture
AICTE/UGC Approval Mandatory for colleges offering the program
Specializations Machine Learning, Natural Language Processing, Computer Vision, Robotics
Career Prospects High demand in IT, healthcare, finance, and other industries

MTech in Artificial Intelligence Eligibility Criteria: Detailed Requirements

To pursue an MTech in Artificial Intelligence in India, you’ll need a Bachelor’s degree, typically a B.Tech/BE in CSE, IT, ECE, or related fields, or an MCA, with a minimum of 50%. While work experience isn’t mandatory, a valid score in GATE or college-specific entrance exams is usually required. There is no age limit. Here is a broad overview:

  • Qualifying Degree: Four-year Bachelor’s degree (BTech/BE) in Computer Science and Engineering (CSE), Information Technology (IT), Electronics and Communication Engineering (ECE), Electrical Engineering (EE), or allied branches; MSc in Mathematics, Statistics, Physics, or related subjects; or equivalent degrees such as integrated BS/MS programmes.
  • Minimum Marks/CGPA: Usually 60 per cent aggregate marks or 6.0-6.5 CPI/CGPA on a 10-point scale (relaxed to 55 per cent or 5.5 CPI for SC/ST/PwD candidates in many institutes).
  • Entrance Exam: Valid GATE score, often in specific papers like CS (Computer Science), DA (Data Science and Artificial Intelligence), EC (Electronics and Communication), EE (Electrical Engineering), or others as specified by the department.
  • Age Limit: No upper age restriction for most programmes.
  • Work Experience: Not mandatory for regular full-time MTech admissions, though some executive or sponsored programmes may require 1-2 years of relevant professional experience.

M Tech in Artificial Intelligence Admission Process: Step-by-Step Guide

Admission process for MTech in AI course varies from one institute to another. However, some common subjects include:

  • Check Eligibility: Verify you meet the minimum academic requirements (B.Tech/BE with 50% or equivalent).
  • Entrance Exam: Appear for GATE (Graduate Aptitude Test in Engineering) or other relevant entrance exams.
  • Application: Apply to your desired colleges offering M.Tech AI programs.
  • Shortlisting: Colleges shortlist candidates based on GATE scores/entrance exam performance and academic record.
  • Interview/Counseling: Some colleges conduct interviews or counseling sessions.
  • Merit List: Check the merit list released by the colleges.
  • Admission Confirmation: Pay the admission fee to secure your seat.
  • Document Verification: Complete the document verification process.

Entrance Exams for MTech in Artificial Intelligence in India

To get into an m tech in Artificial Intelligence program, you’ll likely need to take an entrance exam. GATE is the most widely accepted exam for this course. Other popular options include:

Exam Name Associated Colleges/Institutes Typically Conducted During
GATE (Graduate Aptitude Test in Engineering) IITs (e.g., IIT Hyderabad, IIT Delhi, IIT Bombay, IIT Madras), IISc Bangalore, NITs, IIITs, and many others (via CCMT counseling) February
VITMEE (VIT Master’s Entrance Examination) VIT Vellore (and other VIT campuses) April–May
SRMJEEE PG (SRM Joint Engineering Entrance Exam PG) SRM Institute of Science and Technology (Chennai and other campuses) Multiple phases: March, May, July
BITS HD (BITS Pilani Higher Degree Admission Test) BITS Pilani (for M.Tech programs, including AI-related) May–June
LPUNEST (Lovely Professional University National Entrance and Scholarship Test) Lovely Professional University (LPU, Jalandhar) Multiple phases throughout the year
Karnataka PGCET State universities and affiliated colleges in Karnataka (e.g., some offering AI/ML) June–July
TS PGECET (Telangana State Post Graduate Engineering Common Entrance Test) State universities and colleges in Telangana (e.g., JNTU Hyderabad affiliates) May–June
University-Specific / Merit-Based (e.g., Amity JET, Manipal MET, Chandigarh University) Amity University, Manipal Institute of Technology, Chandigarh University, Jain University, etc. Varies

 

 

MTech in AI: Scholarships & Previous Year Cut Offs

Scholarships

Pursuing an M.Tech in Artificial Intelligence from top institutes like IITs, IISc, or NITs often comes with significant financial support, especially through GATE qualification. Some popular options include:

  • AICTE Postgraduate (PG) Scholarship: GATE-qualified full-time students in AICTE-approved M.Tech programs receive ₹12,400 per month for up to 24 months. It supports living expenses and often involves light teaching assistant duties in premier institutes like IITs and IISc.
  • Reliance Foundation Postgraduate Scholarships: Merit-based award offering up to ₹6 lakh total (including tuition and living support) for first-year PG students in AI, Computer Science, and related fields. It targets talented candidates from diverse backgrounds pursuing high-impact programs.
  • Institute-Specific Merit-cum-Means Scholarships: Offered by IITs, IISc, and select NITs, providing partial/full tuition waivers or stipends based on GATE rank, family income, and academic performance. These help reduce financial burden for deserving students in government colleges.

Previous Year GATE Cut Offs

Here are the previous year GATE cut offs for MTech in AI course:

Institute Program/Specialization GATE Approx Score Range (2025)
IISc Bangalore M.Tech Artificial Intelligence / Related 850–900+
IIT Bombay M.Tech AI / Computational & Data Science 750–925
IIT Delhi M.Tech Machine Intelligence & Data Science 720–800+
IIT Madras M.Tech AI / Related 760–852
IIT Hyderabad M.Tech Artificial Intelligence 640–775+
IIT Kanpur M.Tech AI / Related 730–800+
IIT Kharagpur M.Tech AI / Related 710–725+

Top Government Colleges for MTech in Artificial Intelligence in India

Here is a list of top government colleges in India for MTech in AI with their location, fees and admission mode:

Rank College Name (City) Total Course Fees (Approx.) Admission Mode
1 IIT Bombay (Mumbai) ₹2-2.5 Lakh GATE
2 IIT Delhi (New Delhi) ₹70,000 – ₹3.8 Lakh GATE
3 IIT Madras (Chennai) ₹20,000 – ₹8 Lakh GATE
4 IIT Kanpur (Kanpur) ₹80,000 – ₹1 Lakh GATE
5 IIT Kharagpur (Kharagpur) ₹60,000 – ₹1 Lakh GATE
6 IIT Roorkee (Roorkee) ₹65,000 – ₹1 Lakh GATE
7 IIT Hyderabad (Hyderabad) ₹2-3 Lakh GATE
8 IISc Bangalore (Bangalore) ₹50,000 – ₹1 Lakh GATE
9 IIT BHU (Varanasi) ₹60,000 – ₹1 Lakh GATE
10 DTU (Delhi Technological University, New Delhi) ₹1.8-2.5 Lakh GATE

Top Private Colleges for MTech in Artificial Intelligence in India

Here is a list of top private colleges in India for MTech in AI with their location, fees and admission mode:

Rank College Name (City) Total Course Fees (Approx.) Admission Mode
1 VIT Vellore (Vellore) ₹3.8-6 Lakh VITMEE / GATE
2 SRM Institute of Science and Technology (Chennai) ₹5-11 Lakh+ SRMJEEE / GATE
3 Amity University (Noida) ₹3-4 Lakh Merit / GATE
4 Amrita Vishwa Vidyapeetham (Coimbatore/Amritapuri) ₹2-4 Lakh Merit / GATE
5 Banasthali Vidyapith (Banasthali) ₹2-3 Lakh Merit / GATE
6 Jain University (Bangalore) ₹4-5 Lakh JET / GATE
7 Manipal Institute of Technology (Manipal) ₹3-5 Lakh Merit / GATE
8 Lovely Professional University (LPU, Jalandhar) ₹2-4 Lakh LPUNEST / Merit
9 Chandigarh University (Mohali) ₹2-3 Lakh Merit / GATE
10 Bennett University (Greater Noida) ₹3-5 Lakh Merit / GATE

MTech in Artificial Intelligence Subjects and Syllabus: Year-wise Breakdown

Click Here For NIELIT Curriculum for MTech in AI

The m tech in Artificial Intelligence program is a 2-year course divided into 4 semesters. Here is a broad overview of the course syllabus:

Semester Core Subjects Elective Subjects (Common Options) Labs/Practicals/Seminars Credits (Approx.)
Semester 1 – Mathematical Foundations for AI –  Foundations of Artificial Intelligence / Machine Learning – Advanced Data Structures and Algorithms – Python Programming / Programming for AI – Introduction to Deep Learning – Statistical Methods for Data Science – Machine Learning Lab / Python Lab – AI Programming Lab 20-22
Semester 2 – Deep Learning / Neural Networks – Advanced Machine Learning – Reinforcement Learning – Optimization Techniques for ML – Natural Language Processing – Computer Vision – Big Data Analytics – Probabilistic Graphical Models – Deep Learning Lab – AI Applications Lab – Seminar I 20-22
Semester 3 – AI Ethics and Responsible AI – Research Methodology & IPR – Advanced Topics – Robotics / Autonomous Systems – AI for Healthcare / Finance / Cybersecurity (domain-specific) – Cloud Computing for AI – MLOps / Deployment – Elective Lab / Project Lab – Comprehensive Viva / Seminar II 18-20
Semester 4 – Dissertation / Major Project Work – Specialized AI Applications – Project Defense / Thesis Submission – Optional Industry Internship 20-24

Core Subjects Taught in MTech Artificial Intelligence

Here is an overview of the common subjects taught under MTech in Artificial Intelligence:

Subject Name Subject Description
Mathematical Foundations for AI / Mathematics for Machine Learning Covers linear algebra, probability, statistics, calculus, and optimization essential for AI algorithms and models.
Probability and Stochastic Processes / Probability & Random Variables Provides probabilistic frameworks, random processes, and uncertainty modeling crucial for machine learning and inference.
Foundations of Machine Learning / Foundations of Artificial Intelligence Introduces core ML paradigms (supervised, unsupervised, reinforcement), algorithms, and AI problem-solving basics.
Advanced Data Structures and Algorithms Focuses on efficient data handling, algorithmic design, and complexity analysis tailored for AI and large-scale data processing.
Deep Learning / Neural Networks Explores architectures like CNNs, RNNs, transformers, training techniques, and applications in vision, NLP, etc.
Optimization Techniques for Machine Learning Studies gradient-based methods, convex optimization, stochastic optimization, and techniques for training AI models efficiently.
Artificial Neural Networks / Advanced Machine Learning Builds on basics to cover ensemble methods, kernel methods, graphical models, and advanced statistical learning approaches.
Research Methodology & IPR Teaches scientific research processes, literature review, ethics, intellectual property, and academic writing for AI projects.

MTech in Artificial Intelligence Fee Structure: Government vs Private Colleges in India

M.Tech in Artificial Intelligence fees differ significantly between government and private colleges. Government colleges like IITs and NITs typically have lower fees (INR 1,50,000 to INR 2,50,000 per year) compared to private colleges (INR 3,00,000 to INR 5,00,000 per year). Remember to factor in hostel, mess, and other miscellaneous charges.

College Type College Name Tuition Fees (INR) Hostel Fees (INR) Other Fees (INR) Total Fees (INR)
Government IIT Delhi 2,00,000 50,000 20,000 2,70,000
Government IIT Bombay 2,20,000 55,000 25,000 3,00,000
Government NIT Trichy 1,50,000 40,000 15,000 2,05,000
Private BITS Pilani 4,00,000 80,000 30,000 5,10,000
Private Vellore Institute of Technology (VIT) 3,50,000 70,000 25,000 4,45,000
Government IIT Madras 2,50,000 60,000 20,000 3,30,000
Private SRM Institute of Science and Technology 3,00,000 65,000 20,000 3,85,000
Government IIT Kharagpur 2,10,000 50,000 15,000 2,75,000
Private Amity University 2,80,000 60,000 20,000 3,60,000
Government IIT Kanpur 2,20,000 55,000 20,000 2,95,000

Top Job Roles & Salary Range for MTech Artificial Intelligence

Take a look at the top job roles, with descriptions and salary ranges, after completing an MTech in Artificial Intelligence:

Job Role Job Description Salary Range (₹ LPA)
Machine Learning Engineer Design, build, train, and deploy scalable ML models and pipelines for real-world applications. 8–35
AI Engineer Develop and implement AI systems, integrating models into software/products for automation and intelligence. 7–40
Data Scientist (AI-focused) Analyze complex data, build predictive models, and derive insights using statistical and ML techniques. 8–40
NLP Engineer Create systems for understanding/processing human language, like chatbots, translation, and sentiment analysis. 10–35
Computer Vision Engineer Build algorithms for image/video analysis, object detection, facial recognition, and autonomous systems. 10–35
AI Research Scientist Conduct cutting-edge research, publish papers, and innovate new AI algorithms/models in academia or industry labs. 15–50
Generative AI Engineer Specialize in LLMs, diffusion models, and generative tools for content creation, image synthesis, and chat systems. 12–45
MLOps Engineer Manage ML lifecycle: deployment, monitoring, scaling, automation, and CI/CD for production AI systems. 10–40
AI Architect / Solutions Architect Design end-to-end AI infrastructure, strategies, and scalable architectures for enterprise solutions. 20–60
Robotics Engineer (AI-integrated) Develop intelligent robotic systems combining AI for perception, decision-making, and control in automation/manufacturing. 10–35

Top Recruiters for MTech Artificial Intelligence

Here is an overview of top companies to target for various jobs after completing an MTech in AI degree:

Industry/Sector Top Recruiters
Tech Giants / Product Companies Google, Microsoft, Amazon, Meta
Finance / BFSI (Banking, Financial Services & Insurance) Goldman Sachs, JP Morgan, American Express, Barclays
IT Services & Consulting Accenture, Deloitte, TCS, Infosys
E-commerce & Startups Flipkart, Paytm, Meesho, Zomato/Unacademy
Semiconductor / Hardware & R&D Intel, Qualcomm, Samsung R&D, Texas Instruments
Analytics & AI-Focused Firms Morgan Stanley, Adobe, Quantiphi, ZS Associates
Automotive / Manufacturing Bosch, Tata Elxsi, Mahindra, Siemens
Global Capability Centers (GCCs) & Others Oracle, IBM, PayPal, NVIDIA (emerging)

What to Do After MTech in AI: Higher Studies, Specialisations & More

Students who have completed their MTech in Artificial Intelligence can pursue the following pathways:

Pursue a PhD in AI or Related Fields

After completing your M.Tech in AI, opting for a PhD allows deeper research in areas like machine learning or generative AI, leading to academic positions or advanced R&D roles in labs. This path is ideal for those passionate about innovation, with opportunities in top institutions like IITs or IISc, enhancing expertise and career prospects in cutting-edge AI development.

Acquire Specialized Certifications or Short Courses

Enhance your skills through certifications in niche AI areas such as NLP, computer vision, or AI ethics via platforms like Coursera or Google, boosting employability in high-demand sectors. These programs, often 3-6 months long, provide practical knowledge and can lead to roles in emerging fields like AI governance or MLOps.

Enter High-Paying Industry Roles

Leverage your M.Tech to secure positions like AI/ML Engineer, Data Scientist, or NLP Specialist in tech giants such as Google or startups like Zomato, where salaries range from ₹10-50 LPA. Focus on building a portfolio through internships to transition into applied AI in finance, healthcare, or e-commerce.

Explore Entrepreneurship or Academic Careers

Start an AI-based venture in areas like automation or ethical AI solutions, supported by incubators in India, or join academia as a lecturer while pursuing research grants. This option suits innovators, offering flexibility and potential for high impact in India’s growing AI ecosystem.

MTech in AI vs MSc in AI: A Comparison

Here is a side by side comparison between an MTech in AI and an MSc in Artificial Intelligence:

Aspect M.Tech in Artificial Intelligence M.Sc in Artificial Intelligence (or AI/ML focus)
Full Form & Nature Master of Technology – Engineering-focused postgraduate degree Master of Science – Science/academic-focused postgraduate degree
Typical Duration 2 years (full-time) 2 years (full-time)
Eligibility B.Tech/B.E. in CS/IT/ECE or related (50-60% marks); GATE score mandatory for top institutes B.Sc in CS/Math/Stats/Physics or BCA (50-60% marks); university entrance/merit-based (GATE optional/rare)
Admission Process Primarily GATE + CCMT counseling (IITs/NITs); some institute tests University-specific entrance exam, merit, or CUET-PG; less competitive nationally
Focus & Curriculum Practical, industry-oriented: heavy on ML/DL implementation, optimization, projects, labs, engineering applications Theoretical & research-oriented: deeper math/probability, algorithms, statistical foundations, some research thesis
Core Emphasis Applied AI: model deployment, MLOps, software integration, real-world systems Fundamental AI: advanced theory, probabilistic models, research methodology, often interdisciplinary
Typical Colleges IIT Hyderabad, IIT Delhi, IISc Bangalore, IIT Bombay, NITs, IIITs Select unis like University of Hyderabad, Amity, Jain University, or integrated with Data Science (BITS, VIT)
Fees (Approx. Total) Govt: ₹50,000 – ₹3 Lakh; Private: ₹3–10 Lakh Govt: ₹20,000 – ₹2 Lakh; Private: ₹2–8 Lakh
Research vs Industry Balanced; strong project/dissertation + good industry placements More research-heavy; better for PhD prep or academia
Career Prospects Excellent for industry roles: ML Engineer, AI Engineer, Data Scientist, MLOps (high demand in tech/finance) Good for research/academia, analytics roles; slightly narrower industry entry but strong in data/AI theory
Average Starting Salary (India) ₹10–25 LPA (top IITs: ₹15–40+ LPA) ₹8–18 LPA (can reach ₹15–30 LPA with skills/projects)

Frequently Asked Questions (FAQs)

Q1. What is the duration of the M.Tech in Artificial Intelligence course?

The duration of the M.Tech in Artificial Intelligence course is 2 years, divided into 4 semesters.

Q2. What are the eligibility criteria for M.Tech in Artificial Intelligence?

To be eligible for an m tech in Artificial Intelligence, you need a Bachelor’s degree in a relevant field (B.Tech/BE in CSE, IT, ECE, or related fields, or MCA) with a minimum of 50%, and a valid GATE score.

Q3. What is the average course fee for M.Tech in Artificial Intelligence in government colleges?

The average course fee for m tech in Artificial Intelligence in government colleges ranges from INR 1,50,000 to INR 2,50,000. For example, IIT Delhi charges INR 2,00,000, while NIT Trichy charges INR 1,50,000.

Q4. What are the core subjects covered in the first semester of the M.Tech in Artificial Intelligence course?

The core subjects covered in the first semester of the M.Tech in Artificial Intelligence course include Mathematical Foundations for AI, Machine Learning Fundamentals, and Deep Learning. You’ll also have elective options like Natural Language Processing and Computer Vision.

Q5. What are the job positions available to M.Tech in Artificial Intelligence graduates?

M.Tech in Artificial Intelligence graduates can pursue job positions like Data Scientist, AI Engineer, and Machine Learning Engineer. The average salary range for these positions is between INR 6 LPA and INR 20 LPA.

Q6. Is MTech in Artificial Intelligence worth it?

Yes, it is worth it for students aiming for advanced careers in AI, machine learning, data science and research, offering strong job prospects, high salaries and opportunities in cutting-edge industries.

Q7. Can I join an MTech in AI without GATE in IIT?

No, IITs generally require a valid GATE score for MTech admissions. Without GATE, options are limited to other universities, private institutes or sponsored company-based seats where applicable.

Aayush Kukreja
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Aayush is a writer and content strategist who turns personal stories into brand narratives. With an experience spanning diverse industries, rely on his writing for simplifying complex subjects & get in-depth insights - always with sharp wit.

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