Towering presence in Academics: Over 160 academic institutions comprising of Engineering, Management, Medical, Dental, Ayurveda, Paramedical, Pharmacy, Law, Teacher Training, Linguistic Studies, Arts, Science, Commerce, Pre University College
Towering presence in Academics: Over 160 academic institutions comprising of Engineering, Management, Medical, Dental, Ayurveda, Paramedical, Pharmacy, Law, Teacher Training, Linguistic Studies, Arts, Science, Commerce, Pre University College
A two-year postgraduate program built around the systems shaping 2026’s technology economy — generative AI, agentic systems, deep learning, and applied machine learning — taught with VTU’s revised CBCS & OBE scheme.
Every sector — from banking to agritech to healthcare — is restructuring around AI-native workflows. This program is designed to put you on the inside of that shift, not on the sidelines of it, with a curriculum revised for the realities of 2026’s AI stack: generative models, agentic systems, and production-grade ML.
This M.Tech follows VTU’s 2026 Scheme of Teaching and Examinations under CBCS & OBE — including Generative AI and Agentic AI as named, credited courses, not bolt-on workshops.
Where a general CSE M.Tech samples everything, this specialization concentrates Semester II entirely on Generative AI, Deep Learning, Advanced ML, and Advanced Algorithms.
Agentic AI, NLP, Reinforcement Learning, AI for Fintech, Healthcare Analytics — each elective corresponds to an active hiring category in 2026’s AI job market.
A mandatory Research Methodology & IPR course and a Minor/Skill Development Project mean you graduate with a defensible research footprint, not just coursework.
The subjects in this program aren’t abstract — each one is the technical backbone of a hiring category currently active across product companies, GCCs, startups, and research labs in Bengaluru and beyond.
Prompt pipelines, RAG systems, fine-tuning, and applied generative AI — the fastest-growing AI hiring segment of 2025–26.
Multi-step, tool-using AI agents are replacing single-shot automation across SaaS, support, and operations tooling.
Manufacturing QC, surveillance, retail analytics, and autonomous systems all run on advanced computer vision pipelines.
Chatbots, document intelligence, and search are being rebuilt on transformer-based NLP across every industry vertical.
Banks and fintechs run real-time fraud detection and credit-risk ML pipelines — a direct line to the Data Analytics for Fraud Detection elective.
AI for Healthcare Analytics underpins diagnostic imaging, patient risk scoring, and hospital operations software.
Crop monitoring, yield prediction, and sustainability analytics — a growing applied-AI sector directly covered in the curriculum.
As regulation catches up with AI, interpretable, auditable models are becoming a hard requirement in finance, health, and government deployments.
Semester-wise breakdown as prescribed by Visvesvaraya Technological University, Belagavi, for M.Tech (CSE) with specialization in Artificial Intelligence and Machine Learning. Semester I is common to all CSE specializations; Semester II is where the AI & ML specialization fully takes shape.
| Code | Course Title | Type | Credits |
|---|---|---|---|
| 1MCS101 | Advanced Mathematics | PCC | 3 |
| 1MCS102 | Advanced Data Structures and Applications | PCC | 3 |
| 1MCS103 | Data Science and Management | PCC | 3 |
| 1MCS104x | Integrated Professional Core Course – I (choice: Advanced DBMS / Computer Networks / Operating Systems / Big Data Analytics) | IPCC | 4 |
| 1MCS105x | Professional Elective Course – I (AI for IoT / AI for Cyber Security / Advanced Computer Vision / Fraud Detection Analytics) | PEC | 3 |
| 1MCS106x | Professional Elective Course – II (Software Engineering & Web Apps / Blockchain / Mobile & Web Security / Data Engineering) | PEC | 3 |
| 1MCSL107x | Professional Core Courses Lab (Software Testing / Computer Vision / Advanced Data Structures / Microservices) | PCCL | 1 |
| 1MRMI108 | Research Methodology and IPR (Online — VTU Centre for Online Education) | NCMC | — |
| Code | Course Title | Type | Credits |
|---|---|---|---|
| 1MCAM201 | Generative AI and Applications | IPCC | 4 |
| 1MCAM202 | Deep Learning Architectures | PCC | 3 |
| 1MCAM203 | Advanced Machine Learning | PCC | 3 |
| 1MSCS204 | Advanced Algorithms | PCC | 3 |
| 1MXXX205x | Professional Elective Course – III (Agentic AI & Applications / Evolutionary ML / AI for Agritech & Sustainability / AI for Fintech) | PEC | 3 |
| 1MXXX206x | Professional Elective Course – IV (Reinforcement Learning / AI for Healthcare Analytics / NLP / Explainable AI & Interpretable ML) | PEC | 3 |
| 1MCAML207 | Advanced Machine Learning Lab (AEC Lab) | PCCL | 1 |
| 1MCAMS208 | Minor Project / Skill Development Project | PCC | 2 |
| Semester | Focus Area | Component |
|---|---|---|
| Semester III | Open Elective, Internship / Industry Exposure, Major Project — Phase I (Literature Survey & Problem Identification) | Project |
| Semester IV | Major Project — Phase II (Design, Implementation, Publication & Viva-Voce) | Project |
Across PEC-III and PEC-IV in Semester II, you shape your own specialization within AI & ML — pick the pair that matches the career you’re building toward.
M.Tech (AI & ML) graduates are positioned for roles that simply didn’t exist a decade ago, alongside traditional software and data career tracks.
Build core ML, deep learning & GenAI fluency through coursework and labs
Apply skills in an industry internship and begin your major project research
Complete and defend your major project — often with a publishable paper
Step into an AI/ML role, a startup, or a Ph.D. with a real portfolio behind you
B.E./B.Tech in CSE, ISE, AI&ML or allied branches
VTU Belagavi · AICTE Approved
2 Years · 4 Semesters · Full-Time
Seats for M.Tech (AI & Machine Learning) at AIEMS Bengaluru are limited each year. Talk to our admissions team to check eligibility and reserve your seat.
