Digivarsity
Back to Programs
PG IIT Online ✦︎ AI-First

M.Tech AI & ML

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

2 Years

Type

PG

Mode

Online

₹3,70,100

Total Program Fees

i

Admissions closed for this cycle

Next window opens soon

Download Brochure

Program Overview

The M.Tech in Artificial Intelligence & Machine Learning is a two-year postgraduate programme designed for working professionals seeking advanced academic and applied expertise in modern AI systems. The programme builds strong foundations in mathematical modelling, machine learning, data science and intelligent-system design, followed by advanced learning in Deep Learning, NLP, Computer Vision and Generative AI.

Program Highlights

Earn an M.Tech degree in Artificial Intelligence & Machine Learning from IIIT Vadodara.
Build advanced expertise in Machine Learning, Deep Learning, NLP, Computer Vision, Generative AI and MLOps.
Gain practical exposure to tools such as Python, TensorFlow, PyTorch, Scikit-learn, Hugging Face and Hadoop.
Apply learning through research-driven coursework, specialised electives and a guided project or dissertation.
Participate in a mandatory five-day campus immersion and gain IIIT Vadodara alumni status upon successful completion.

Curriculum

Semester I
  • Big Data Platforms for AI & ML
  • Distributed data-processing platforms
  • Big data storage and computing frameworks
  • Data pipelines for Artificial Intelligence and Machine Learning
  • Large-scale data processing
  • Platforms supporting scalable AI applications
  • Advanced Data Structures & Algorithms
  • Advanced data structures
  • Algorithm design and analysis
  • Graph and tree-based algorithms
  • Computational complexity
  • Efficient problem-solving techniques
  • Mathematical Foundations for AI
  • Linear Algebra
  • Probability
  • Statistics
  • Optimisation
  • Mathematical modelling for AI and Machine Learning
  • Programming for AI & Data Science
  • Python Programming
  • NumPy
  • Pandas
  • Data preprocessing and manipulation
  • Scikit-learn
  • Programming workflows for AI and Data Science
  • Foundations of Machine Learning
  • Introduction to Machine Learning
  • Supervised Learning
  • Unsupervised Learning
  • Model training and validation
  • Performance evaluation
  • Machine Learning applications
Semester II
  • Deep Learning
  • Artificial Neural Networks
  • Deep feedforward networks
  • Convolutional Neural Networks
  • Recurrent and sequence models
  • Model training and optimisation
  • Deep Learning applications
  • Natural Language Processing
  • Text preprocessing and representation
  • Language modelling
  • Text classification
  • Sequence-based language models
  • Transformer architectures
  • NLP applications
  • Research Methodology & AI Ethics
  • Research-problem identification
  • Literature review
  • Research design and experimentation
  • Data interpretation
  • Academic writing and reporting
  • Ethical and responsible AI practices
  • Computer Vision
  • Digital image fundamentals
  • Image preprocessing
  • Feature extraction
  • Image classification
  • Object detection and segmentation
  • Deep Learning for Computer Vision
  • AI/ML Strategy and Business Value Creation
  • AI strategy development
  • Identification of AI-enabled opportunities
  • Business-value assessment
  • AI adoption and implementation
  • Organisational transformation using AI
  • Measuring the impact of AI initiatives
Semester III
  • Elective-1
  • Elective-2
  • Project Work / Research + Dissertation
Semester IV
  • Elective-3
  • Elective-4
  • Project Work / Research + Dissertation
Elective Pool
  • Advanced AI / ML Engineering & Deployment
  • Scalable Deep Learning and Distributed Training
  • MLOps Automation and Orchestration
  • Generative AI: Customization and Deployment of LLMs
  • High-Performance Computing for AI/ML
  • Embedded AI and Edge Machine Learning
  • Emerging Trends in AI/ML and Future of AI
  • Probabilistic Graphical Models
  • Scalable Model Serving and Inference Optimization
  • AI for Business Transformation & Strategy
  • AI-Driven Business Model Innovation
  • Digital Transformation with AI/ML
  • AI for Competitive Advantage and Market Intelligence
  • AI in Supply Chain and Operations Optimisation
  • AI in Finance and FinTech
  • AI Governance
  • Policy and Compliance
  • AI in Retail and E-Commerce
  • Crisis Management and Business Continuity in ICT

Learning Outcomes

1
Apply mathematical, statistical and engineering principles to analyse and optimise AI and Machine Learning systems.
2
Design and implement scalable Machine Learning, Deep Learning and intelligent data-processing solutions.
3
Conduct structured experiments, analyse complex datasets and interpret results for practical AI applications.
4
Develop responsible AI solutions while considering ethical, social, economic, safety and sustainability factors.
5
Collaborate effectively across multidisciplinary teams and communicate technical AI concepts to diverse stakeholders.

Eligibility Criteria

Applicants must hold a B.E./B.Tech. in Engineering or an MCA/MSc (in Physics, Mathematics Statistics, CS, IT, DS, or related fields) or an equivalent degree.
A minimum of 60% or a 6.0 CPI on a 10-point scale (or equivalent) in the qualifying degree is required.
The program is designed for working professionals, and while specific work experience requirements may vary, a background in the IT industry is highly recommended.
Marks will be relaxed by 2.5% or 0.5 CGPA or CPI against each additional year of experience.

Fees & Financing

Institute Registration Fees

Year 1

₹2,000

Year 2

₹2,000

Tuition Fee

Year 1

₹1,70,000

Year 2

₹1,70,000

Caution Deposit (Refundable)

Year 1

₹10,000

Year 2

—

Academic Charges Inc (Convocation Fee, Alumni Fee, Insurance, ID card Fee)

Year 1

₹5,600

Year 2

₹5,500

Campus Immersion Fee

Year 1

₹5,000

Year 2

—

Yearly Sum

Year 1

₹1,92,600

Year 2

₹1,77,500

Total Program Fees

2 years · all components included

₹3,70,100

💰 EMI Options Available

Starting from ₹15,421/month with 0% interest for first 6 months. Partner banks: HDFC, ICICI, Axis Bank.

About Indian Institute of Information Technology Vadodara (IIIT Vadodara)

Indian Institute of Information Technology Vadodara (IIIT Vadodara)

Indian Institute of Information Technology Vadodara (IIIT Vadodara)

Established in 2013 by the Ministry of Education, Government of India, IIIT Vadodara is an Institute of National Importance committed to advancing education, research and innovation in information technology. Founded through a Public-Private Partnership, the institute brings together government and industry expertise to develop globally competent technology professionals. Its academic environment emphasises interdisciplinary learning, technical excellence, practical problem-solving and the application of emerging technologies to real-world challenges.

View University Profile

Frequently Asked Questions

What is the M.Tech in Artificial Intelligence and Machine Learning program?
The M.Tech in Artificial Intelligence and Machine Learning is an advanced postgraduate program designed to build deep expertise in modern AI technologies, machine learning algorithms, and large-scale data systems. The program prepares professionals to design, develop, and deploy intelligent systems across industries.
How does the program help professionals advance their careers?
By completing the M.Tech in Artificial Intelligence and Machine Learning for working professionals, learners gain advanced technical capabilities in AI, data science, and machine learning systems, enabling them to move into specialised engineering, research, and technology leadership roles.
Who should pursue this M.Tech in Artificial Intelligence and Machine Learning?
The M.Tech in Artificial Intelligence and Machine Learning is ideal for working professionals in software, data, or technology roles, engineers looking to transition into AI and machine learning domains, and professionals seeking advanced expertise in data-driven technologies.
Is a GATE score required to apply for this program?
No, a GATE score is not mandatory for admission to this M.Tech in Artificial Intelligence and Machine Learning program. Applicants who already have a valid GATE score may submit it during the admission process, but it is not compulsory.
Will I receive a degree upon successful completion of the program?
Yes. Upon successfully completing all academic requirements, participants receive a Master of Technology (M.Tech) degree from the Indian Institute of Information Technology Vadodara, an Institute of National Importance.

Program Details

Duration 2 Years
Mode Online
Fees ₹3,70,100

Welcome to Digivarsity

Enter your details to continue

+91

Welcome to Digivarsity

Enter your details to continue

+91

My profile

WhatsApp
Talk to Counsellor
Chat

DigiChat Chat with us

We typically reply in minutes

Indian Institute of Information Technology Vadodara (IIIT Vadodara)

Connecting to the Institution's Admissions Portal

Your application will continue on the institution's website.