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PG IIT Online ✦︎ AI-First

M.Tech Computer Science & Engineering (AI & ML Specialization)

Indian Institute of Information Technology Dharwad (IIIT Dharwad)
Indian Institute of Information Technology Dharwad (IIIT Dharwad)
Duration

2 Years

Type

PG

Mode

Online

₹3,54,000

Total Program Fees

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Program Overview

The M.Tech in Computer Science & Engineering with a specialisation in Artificial Intelligence and Machine Learning is a two-year postgraduate programme designed for working professionals and technology aspirants. The programme combines advanced AI, machine learning, deep learning, intelligent systems and data-driven problem-solving with research-oriented and project-based learning.

Program Highlights

Earn an M.Tech in Computer Science & Engineering with a specialisation in AI & ML from IIIT Dharwad.
Build advanced capabilities in machine learning, deep learning, Generative AI, NLP, computer vision and reinforcement learning.
Apply learning through simulations, practical assignments, research projects and a comprehensive capstone.
Learn from IIIT Dharwad faculty and experienced industry professionals through a flexible online format.
Participate in a seven-day campus immersion and gain access to IIIT Dharwad alumni privileges upon successful completion.

Curriculum

Semester I
  • Applied Mathematics for Computer Science
  • Unit 1: Linear Algebra
  • Unit 2: Optimization
  • Unit 3: Probability and Stochastic Process
  • Advanced Data Structures and Algorithms
  • Unit 1: Growth Functions
  • Unit 2: Trees
  • Unit 3: Graph Algorithms
  • Unit 4: Algorithm Design Strategies
  • Unit 5: Complexity Classes
  • Programming Paradigms Lab
  • Unit 1: Procedural Programming
  • Unit 2: Object-Oriented Programming
  • Unit 3: Functional Programming
  • Unit 4: Concurrent and Parallel Execution
  • Unit 5: Declarative and Logic Programming
  • Unit 6: Scripting and Automation
  • Introduction to AI/ML
  • Unit 1: Introduction to AI
  • Unit 2: Problem Solving Using Search
  • Unit 3: Knowledge Representation
  • Unit 4: Introduction to Machine Learning
  • Unit 5: Supervised Learning
  • Unit 6: Unsupervised Learning
  • Introduction to Cybersecurity
  • Unit 1: Introduction to Cybersecurity
  • Unit 2: Identity and Access Management
  • Unit 3: Standards and Regulations
  • Introduction to Cloud Computing
  • Unit 1: Introduction to Cloud Computing
  • Unit 2: Cloud Service Models and Deployment Models
  • Introduction to Research
  • Unit 1: Introduction
  • Unit 2: Literature Review
  • Unit 3: Research Exploration
  • Unit 4: Patenting and Publications
  • Unit 5: Presentation
  • Report and Thesis Writing
  • Unit 6: Conclusions and Future Scope
  • Unit 7: Principles and Ethics in Research
  • Project I
Semester II
  • Advanced Computing Lab
  • Unit 1: Advanced Programming and Performance Engineering
  • Unit 2: Parallel Computing Platforms
  • Unit 3: Distributed Computing Frameworks
  • Unit 4: GPU and Accelerated Computing
  • Unit 5: Cloud and Container-Based Computing
  • Unit 6: AI/ML Pipeline Engineering
  • Literature Review and Seminar
  • Electives (1/2/3/4 credits)
  • Project-II
Semester III
  • Project-III
  • Electives (1/2/3/4 credits)
Semester 4
  • Project-IV
  • Electives (1/2/3 credits)
AI & ML Specialization
  • Generative AI
  • Overview of AI and Generative AI
  • Tools and Models in Generative AI
  • Applications of Generative AI
  • Speech and Natural Language Processing
  • Lexical Processing in NLP
  • Syntactic Processing in NLP
  • Semantic Processing in NLP
  • Phonetics and Speech Processing
  • Automatic Speech Recognition and Text-to-Speech
  • Deep Learning
  • Review of Neural Networks
  • Deep Feedforward Neural Networks
  • Convolutional Neural Networks
  • Sequence Models
  • Generative Models
  • Computer Vision
  • Foundations of Neural Networks
  • CNNs for Image Classification
  • Evaluating Datasets Using Metrics
  • CNNs for Segmentation
  • Recurrent Neural Networks for Vision
  • Graph Neural Networks
  • Graph Fundamentals
  • Graph Neural Network Foundations
  • Core Architectures
  • Advanced Topics
  • Applications
  • Agentic AI
  • Foundations of Intelligent Agents
  • Planning and Decision-Making
  • Learning-Based Agents
  • LLM-Based and Tool-Using Agents
  • Safety
  • Ethics and Evaluation
  • Reinforcement Learning
  • Introduction to Reinforcement Learning
  • Classical Reinforcement Learning Methods
  • Deep Learning-Based Reinforcement Learning
  • Explainable AI
  • Foundations of Explainable AI
  • Interpretable Models
  • Model-Agnostic Post-Hoc Methods
  • Visual Explainable AI
  • Evaluation and Ethics
  • Robotics and AI
  • Robotics Fundamentals
  • Perception for Robotics
  • Planning and Control
  • Learning in Robotics
  • Applications and Case Studies
  • AI for Financial Analytics
  • Financial Data and Markets
  • Time-Series Modelling
  • Risk and Fraud Analytics
  • Algorithmic Trading
  • Ethics and Regulation
  • Deep Speech Processing
  • Overview of Speech Processing
  • Machine Learning and Speech Processing
  • Deep Learning and Speech Processing
  • AI for Healthcare and Data Analytics
  • Historical Evolution of AI in Medicine
  • Clinical Decision Support Systems
  • Case Study

Learning Outcomes

1
Design and implement machine learning algorithms, deep learning models and intelligent AI systems.
2
Analyse complex datasets using mathematical, statistical and computational approaches.
3
Apply AI and ML techniques across computer vision, robotics, speech, healthcare and financial analytics.
4
Conduct research surveys, experiments and projects using structured research methodologies.
5
Develop responsible, explainable and secure AI solutions while considering ethical and societal implications.

Eligibility Criteria

Educational Qualification : Any Graduate with a background in B.Tech / B.E., M.Sc., or M.C.A.
Academic Performance:
General / OBC category
Minimum CGPA/CPI: 6.5 on a 10-point scale, or Minimum aggregate percentage: 60%.
SC / ST / PwD category
Minimum CGPA/CPI: 6.0 on a 10-point scale, or Minimum aggregate percentage: 55%.

Fees & Financing

Program Fee

Year 1

₹1,77,000

Year 2

₹1,77,000

Yearly Sum

Year 1

₹1,77,000

Year 2

₹1,77,000

Total Program Fees

2 years · all components included

₹3,54,000

💰 EMI Options Available

Starting from ₹14,750/month with 0% interest for first 6 months. Partner banks: HDFC, ICICI, Axis Bank.

About Indian Institute of Information Technology Dharwad (IIIT Dharwad)

Indian Institute of Information Technology Dharwad (IIIT Dharwad)

Indian Institute of Information Technology Dharwad (IIIT Dharwad)

IIIT Dharwad is an Institute of National Importance known for technology education research and industry collaboration. Located in the Hubballi-Dharwad innovation hub it promotes interdisciplinary learning creativity and responsible innovation. The institute develops globally competent technology professionals equipped to address evolving societal and digital challenges.

View University Profile

Frequently Asked Questions

What is the focus of the M.Tech in AI and ML at IIIT Dharwad?
The M.Tech in AI and ML program equips learners with advanced knowledge in Artificial Intelligence, Machine Learning, Deep Learning, and data-driven solutions, preparing them for research, product development, and leadership roles across industries.
How is the CSE AI and ML program delivered?
This program is offered online with live interactive sessions, self-paced learning modules, and a 7-day on-campus immersion at IIIT Dharwad for hands-on projects and faculty engagement.
Will I receive a degree upon completion?
Yes. Graduates will earn a prestigious M.Tech in Computer Science & Engineering (Specialization in AI & ML) from IIIT Dharwad, an Institute of National Importance.
What career opportunities can I pursue after completing this program?
Graduates can take on roles such as AI Engineer, ML Researcher, Data Scientist, Computer Vision Specialist, or pursue Ph.D. and R&D roles. The program prepares professionals for AI-driven product development and analytics roles across industries.
Do I need to have a valid GATE score for this program?
No, a valid GATE score is not required for admission to this M.Tech in AI & ML program for working professionals, though applicants may submit it if available.

Program Details

Duration 2 Years
Mode Online
Fees ₹3,54,000

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