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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.

Structure

An advanced, math-heavy curriculum for AI Architects

The curriculum dives immediately into the advanced mathematics of AI, transitioning into heavy Deep Learning and Computer Vision topics.
A mandatory Master's Dissertation (Research Thesis) utilizing our advanced GPU clusters must be successfully defended in the final semester.

Value Added Courses for all UG (VAC) — Non Mandatory

Course NameCategoryCredits
GATE / UGC-NET Mentoring
VAC0
Generative AI & Prompt Engineering
VAC2
Technical Paper Writing (LaTeX)
VAC2

2 Year Advanced AI Research Roadmap Roadmap

Your journey from engineering graduate to elite AI researcher.

Mastering the Math Behind the Models

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

YEAR-1

What you'll learn

Advanced AI MathematicsBuilding Neural NetworksResearch Methodology

AI Tools & Technologies

TensorFlow / PyTorchDeep Learning Frameworks

In Classroom Concepts

🧠
Deep Learning

Multi-layered networks

🎙️
NLP

Text & Speech analysis

Projects You'll Work On

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.

YEAR-2

What you'll learn

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

In Classroom Concepts

🧪
Research

Solving novel AI problems

🎓
Thesis

Scientific documentation

Projects You'll Work On

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

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 Fee74000/- Per Semester
Examination Fee3000/- Per Semester
Development Fee3000/- 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

06

Industry-Funded R&D

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

07

Expert Research Faculty

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

08

Research & Patent Support

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

09

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 01

Register Yourself

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

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

Collaborations

MNC & Tech Tie Up's

Testimonials

Our AI Researchers Speak

It has been a great journey as a student of Career Point University, as coming up wity great opportunities and exprouser. I was a average student to start with then the faculty help me the some certifications and extra course so there i pursued 7 courses. I start learning more & exploring more in dara science than after some assistance of faculty and internet resources I crack the test and interview or celebal technology as a post of associate Data Scientist.

Hitesh Ankodia
Hitesh Ankodia
B.tech CSE · Celebal Technologies

Career Point University provides a great exposure to students by organizing different activities and training which has helped all students. The atmosphere is full of motivation and innovation. It is all because of the efforts put by our faculty and training and placement department which always makes sure that students get placed in the best company in the market. My confidence has been boosted after coming here. I am really thankful to Career Point University for providing a platform to enhance my career.

Sourabh Rathore
Sourabh Rathore
B.tech CSE · Celebal Technologies
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