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Ideal for students passionate about artificial intelligence and intelligent technologies.
Postgraduate Level Program
Master of Technology in Artificial Intelligence (M.Tech Artificial Intelligence)
M.Tech Artificial Intelligence is a 2-year postgraduate engineering degree program that focuses on artificial intelligence, machine learning, deep learning, natural language processing, computer vision, robotics, intelligent systems, and AI-driven automation. The course prepares students for careers in AI development, machine learning engineering, research, robotics, data science, and emerging technology sectors.
M.Tech Artificial Intelligence Course
M.Tech AI Admission 2026
M.Tech Artificial Intelligence Eligibility
M.Tech AI Syllabus
Duration
2 Years
Full-time / Part-time options
Eligibility
B.Tech/BE in Computer Science Engineering, Information Technology, Artificial Intelligence, Electronics Engineering, Data Science, or a related engineering discipline from a recognized university
Average Fees
₹40K – ₹8L
Program-wise
Mode
Full-Time / Part-Time / Online
Overview
About Master of Technology in Artificial Intelligence (M.Tech Artificial Intelligence)
M.Tech Artificial Intelligence is a 2-year postgraduate engineering degree program that focuses on artificial intelligence, machine learning, deep learning, natural language processing, computer vision, robotics, intelligent systems, and AI-driven automation. The course prepares students for careers in AI development, machine learning engineering, research, robotics, data science, and emerging technology sectors.
M.Tech Artificial Intelligence Course 2026: Admission, Eligibility, Fees, Syllabus, Scope & Career Opportunities
M.Tech Artificial Intelligence is a two-year postgraduate engineering program designed to provide advanced knowledge of artificial intelligence, machine learning, deep learning, natural language processing (NLP), computer vision, robotics, and intelligent automation systems.
The course combines theoretical foundations, practical implementation, AI model development, research projects, and industry-oriented training to prepare students for solving real-world problems using intelligent technologies.
With AI transforming industries such as healthcare, finance, manufacturing, education, and transportation, M.Tech AI graduates are among the most sought-after professionals globally.
M.Tech Artificial Intelligence Eligibility Criteria
B.Tech/BE in Computer Science, Information Technology, Artificial Intelligence, Data Science, Electronics Engineering, or related disciplines.
Minimum 50%–60% aggregate marks (varies by institution).
Admission through GATE or university entrance examinations.
M.Tech Artificial Intelligence Admission Process
Admission is offered through:
GATE
CUET PG
University Entrance Examinations
Merit-Based Admission
M.Tech Artificial Intelligence Subjects
Artificial Intelligence
Machine Learning
Deep Learning
Natural Language Processing
Computer Vision
Neural Networks
Robotics and Automation
Reinforcement Learning
Data Science
AI Ethics and Governance
M.Tech Artificial Intelligence Career Scope
Graduates can pursue careers as:
AI Engineer
Machine Learning Engineer
Data Scientist
NLP Engineer
Computer Vision Engineer
Robotics Engineer
AI Research Scientist
AI Consultant
Automation Engineer
Intelligent Systems Developer
M.Tech Artificial Intelligence Salary
The average starting salary after M.Tech Artificial Intelligence ranges from ₹10 LPA to ₹30 LPA. Professionals with expertise in AI, deep learning, and advanced machine learning can earn significantly higher salary packages in top technology companies.
Top Recruiters
Microsoft
Amazon
OpenAI
NVIDIA
IBM
Meta
Accenture
Infosys
TCS
Wipro
Deloitte
Why Choose M.Tech Artificial Intelligence?
One of the fastest-growing technology fields globally.
High demand for AI and machine learning professionals.
Excellent salary packages and international opportunities.
Strong scope in research, innovation, and automation.
Applications across almost every industry sector.
Who it's for
Who Should Choose This Course?
See if your goals align with how this program is structured.
Technology Innovators
Suitable for candidates interested in machine learning, deep learning, and AI research.
Research Aspirants
Perfect for students planning careers in AI innovation and scientific research.
Future AI Engineers
Excellent choice for individuals aspiring to become AI specialists and technology leaders.
Career Outcomes
Where this program can take you
Explore rewarding careers in artificial intelligence, machine learning, deep learning, computer vision, robotics, NLP, and intelligent automation after M.Tech Artificial Intelligence.
ABC
20K+ professionals upskilled already
Universities
Top Universities Offering Master of Technology in Artificial Intel…
Compare top programs and choose the best fit for your goals.
All universities are UGC/AICTE approved and recognized for academic excellence.
Syllabus
Syllabus & Curriculum
Semester-wise breakdown of topics and learning modules.
- Artificial Intelligence Foundations
- Advanced Mathematics for AI
- Python for AI
- Data Structures and Algorithms
- Machine Learning Fundamentals
Fees & Financing
Fees & Financing
Transparent fee structure with flexible payment options.
Total Program Fee
₹40K – ₹8L
*Fees may vary across universities. Instalment plans shared after shortlisting.
Easy EMI Options Available
Scholarships Up to 30%
Education Loan Assistance
Need help planning your finances?
Our experts can guide you with the best options.
Admission
Admission Process
Simple steps to start your doctoral journey.
1
Apply Online
Submit your profile, academics, and intent with supporting documents.
2
Application Review
Our panel verifies eligibility and aligns you with the right cohort format.
3
Interview / Proposal Chat
Discuss research interests and career goals with faculty mentors.
4
Offer & Fee Plan
Receive admission decision with financing and instalment options.
5
Enrol & Onboard
Complete registration, join the cohort workspace, and start Semester 1.
Placements
Placement & Salary
Based on placement data from top institutions.
Average Salary
₹18.7 LPA
Highest Salary
₹35.0 LPA
Placement Rate
78%
Top Recruiters
200+ Companies
MBA + DBA Impact
40%+ Average salary hike
Average Salary by Experience
- 0–3 years₹10 – ₹14 LPA
- 3–7 years₹14 – ₹20 LPA
- 7–12 years₹18 – ₹26 LPA
- 12+ years₹22 – ₹35 LPA
Figures are indicative and vary by cohort, institute, and reporting methodology.
Top Recruiting Companies
DEDeloitte
KPKPMG
PwPwC
EYEY
McMcKinsey
BCBCG
AcAccenture
HCHCL
InInfosys
WiWipro
Explore full salary distributions and recruiter mix in the placement report.
Compare Similar Courses
See how this programme stacks up against similar credentials.
| Features | You're viewingMaster of Technology in Artificial Intelligence (M.Tech Artificial Intelligence) | PhD in Management | Executive MBA |
|---|---|---|---|
| Program Level | Postgraduate | Doctoral | Postgraduate |
| Duration | 2 Years | 4–5 Years | 1–2 Years |
| Average Fees | ₹40K – ₹8L | Varies | ₹12 – ₹28 LPA |
| Ideal For | Working executives & leaders | Research & academia oriented | Mid-career managers |
| Focus Area | Applied research & leadership | Theory & dissertation | General management |
| Career Outcomes | Strategy, consulting, academia | Academia, research roles | Leadership, CXO track |
FAQs
Frequently Asked Questions
Quick answers to common questions.
M.Tech Artificial Intelligence is a postgraduate engineering degree focused on AI technologies, machine learning, deep learning, computer vision, NLP, and intelligent systems.
Candidates must have a B.Tech/BE degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, Electronics Engineering, or a related discipline.
Graduates can work as AI engineers, machine learning engineers, data scientists, NLP engineers, computer vision engineers, robotics engineers, and AI consultants.
The average starting salary ranges from ₹10 LPA to ₹30 LPA depending on skills, specialization, and employer.
Yes. Artificial Intelligence is one of the highest-paying and fastest-growing technology fields globally.
Yes. Graduates can pursue PhD programs in Artificial Intelligence, Machine Learning, Data Science, Computer Science, Robotics, and related fields.
The course duration is generally 2 years divided into four semesters.
GATE, CUET PG, and various university-level entrance examinations are commonly accepted.
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