2-Year Postgraduate Tech Research Degree

M.Tech in AI & Machine Learning

Lead the AI revolution. Master complex Neural Networks, Deep Learning architectures, and Generative AI to secure elite roles in global Tech R&D.

2 Years

Eligibility: B.Tech/B.E. in CSE/IT/AI or MCA with minimum 55% marks (GATE qualified candidates highly preferred)

50L+

Highest Pkg

Mandatory

AI R&D Focus

Department's AI R&D Accomplishments & Impact

200+

AI Scientists Placed

50 L

Highest Package

2500+

GPU Cluster Hours

150+

AI Research Papers

20+

MNC Tech Tie-ups

25+

AI Tech Patents

✓ Approved by AICTE & Top IT Recruiters

Overview

What is the M.Tech AI & ML Programme?

The Master of Technology (M.Tech) in AI & ML is a heavily research-focused postgraduate degree. While a B.Tech teaches you how to implement existing AI libraries, an M.Tech teaches you the deep mathematical theory behind those algorithms and how to write custom neural networks from scratch.Students dive deep into advanced mathematics, Deep Learning architectures (CNNs, RNNs, Transformers), and Natural Language Processing (NLP). The entire second year is dedicated to an independent Master's Dissertation, where students utilize our high-performance GPU clusters to solve complex AI problems, publishing their findings in recognized scientific journals like IEEE.

2 Years Duration4 SemestersResearch IntensiveGATE Aligned

Deep Learning

Neural Networks

NLP & LLMs

Text & Speech

Computer Vision

Image Processing

Advanced Algorithms

AI Optimization

Scope

Expanding opportunities in global AI research and Silicon Valley

AI is the fastest-growing sector in the global economy, and the demand for deeply specialized AI researchers is at an all-time high. M.Tech AI & ML graduates are heavily recruited by the R&D wings of tech giants (Google DeepMind, Microsoft Research, OpenAI) and top-tier product startups as AI Architects, Machine Learning Researchers, and Data Scientists. Furthermore, it is the mandatory qualification for academic roles (Assistant Professor) and the perfect foundation for pursuing a Ph.D. in Artificial Intelligence globally.

4-Year Journey

2 Year Advanced AI Research Roadmap Roadmap

Your journey from engineering graduate to elite AI researcher.

YEAR 1Advanced AI & Math

YEAR 2Research & Thesis

Mastering the Math Behind the Models

The first year elevates your foundational knowledge, focusing on advanced linear algebra, optimization, neural networks, and research methodologies.

Advanced AI MathematicsBuilding Neural NetworksResearch Methodology

In Classroom Concepts

🧠

Deep Learning

Multi-layered networks

🎙️

NLP

Text & Speech analysis

AI Tools & Technologies

TensorFlow / PyTorchDeep Learning Frameworks

YEAR 1 OUTCOMES

Thesis Synopsis

Drafting AI research proposals

Research Cell

View All Subjects

|Advanced Mathematics for AI
|Deep Learning and Neural Networks
|Natural Language Processing (NLP)
|Research Methodology and IPR

Independent Scientific Execution

The entire second year is dedicated to executing a novel computational AI project, writing a Master's Thesis, and defending it before a panel.

Independent AI ExperimentationScientific Paper Writing (LaTeX)Thesis Defense & Presentation

In Classroom Concepts

🧪

Research

Solving novel AI problems

🎓

Thesis

Scientific documentation

YEAR 2 OUTCOMES

Master's Dissertation

Advanced AI coding project

Final Defense

View All Subjects

|Specialization Electives (Generative AI, GenAI)
|Dissertation Phase I (Model Prototyping)
|Dissertation Phase II (Implementation)
|Thesis Defense and Final Viva-Voce

Core Industry Certificate Courses

Master the most in-demand professional certifications directly from our global technology partners to fast-track your career success.

Red Hat Certification

Prepare for global certifications in Linux Administration and OpenShift through the Red Hat Academy Ready Partner 2026 program at Career Point University.

AWS Certification

Get certified as a Cloud Practitioner or Solutions Architect. Learn to design and deploy secure, robust applications on the world's leading cloud platform.

Oracle Certification

Achieve Oracle Certified Professional status. Master SQL, Java, and Database Management systems that power the world's most critical enterprise data.

Admission

Transparent fee structure for M.Tech AI & ML

Admission Criteria

For Indian Students : B.E/B.Tech or AMIE in Any discipline or M.Sc. (any discipline) or MCA or Equivalent

Course Fee Structure

Fee Details

Admission Fee (one-time)₹5000/- (at the time of admission)

Tuition Fee₹74000/- Per Semester

Examination Fee₹3000/- Per Semester

Development Fee₹3000/- Per Semester

Caution Money (one-time)₹3000/- (Refundable)

Scholarships

Based on performance in qualifying exam

% in Graduation [1]	Scholarship on Tuition Fee
Above 90%	35%
85% – 89.99%	25%
75% – 84.99%	10%
60% – 74.99%	5%

Why Join

Unlock your potential with a Master's Degree in AI

Elite Tech Career Roles

An M.Tech in AI moves you out of the standard software developer crowd and positions you for extremely high-paying roles like AI Research Scientist.

Gateway to Academia

It is the mandatory minimum qualification required by AICTE/UGC to become an Assistant Professor in any engineering college.

Advanced GPU Computing Labs

Access high-performance computing (HPC) and GPU clusters required to train massive deep learning and NLP models.

Publish & Patent

The mandatory master's thesis forces you to innovate, leading to research publications in reputed international journals like IEEE and Springer.

Pathway to Global Ph.D.

An M.Tech from a recognized Indian university sets a perfect foundational base for securing fully-funded Ph.D. positions globally.

Features

Setting us apart from the rest

Industry-Funded R&D

Dedicated AI incubation and R&D cells where students collaborate on live, industry-funded deep tech projects.

Expert Research Faculty

Learn directly from Ph.D. holding professors, former tech architects, and guest scientists working in AI product firms.

Research & Patent Support

Specialized training in LaTeX for formatting research papers, and comprehensive guidance on AI intellectual property (IPR) filing.

R&D Placement Assistance

Dedicated placement cells targeting the R&D wings of MNCs like Microsoft Research, Google, and emerging AI startups.

Apply

Simple 5-step process to join the M.Tech programme

Guide to Register Online

STEP 01Register Yourself

STEP 02Verify Details

STEP 03Fill Application Online

STEP 04Pay Application Fee

STEP 05Submit Application

STEP 01 OF 5

Register Yourself

Create your account on the portal with your basic personal details.

1 of 5 steps

STEP 01

Register Yourself

Create your account on the portal with your basic personal details.

Start Your Application

FAQ

Everything you need to know about the M.Tech AI & ML programme

Placement Records

Engineers in Global Tech Giants

Outstanding placements across Silicon Valley MNCs, IT Services, and Core Engineering firms

Harshit Pandey

Indian Army

Devesh Vijay

Celebal Technology

Aryan Rathore

Dianapps

RishiRaj Singh

Snoh Tech.

Saurabh Rathore

Celebal Technology

Collaborations

Learning Resource

Important Committees

M.Tech in AI & Machine Learning

Department's AI R&D Accomplishments & Impact

Overview

Scope

2 Year Advanced AI Research Roadmap Roadmap

Mastering the Math Behind the Models

In Classroom Concepts

Deep Learning

NLP

AI Tools & Technologies

YEAR 1 OUTCOMES

Thesis Synopsis

Independent Scientific Execution

In Classroom Concepts

Research

Thesis

YEAR 2 OUTCOMES

Master's Dissertation

Core Industry Certificate Courses

Red Hat Certification

AWS Certification

Oracle Certification

Admission

Admission Criteria

Course Fee Structure

Scholarships

Why Join

Elite Tech Career Roles

Gateway to Academia

Advanced GPU Computing Labs

Publish & Patent

Pathway to Global Ph.D.

Features

Industry-Funded R&D

Expert Research Faculty

Research & Patent Support

R&D Placement Assistance

Apply

Register Yourself

Register Yourself

FAQ

Engineers in Global Tech Giants

MNC & Tech Tie Up's