Masters in AI & ML – IIITB

With an extensive network of over 30,000 alumni and a 4.5-star rating, this Master's in Artificial Intelligence and Machine Learning sets a benchmark for delivering cutting-edge education. Designed for working professionals, it combines flexibility with an industry-relevant curriculum, preparing you for high-impact roles in AI and ML. Engage with top faculty and industry leaders to build expertise in AI, machine learning, and advanced analytics. This MSc in Artificial Intelligence goes beyond theory, immersing you in hands-on projects and real-world case studies to develop practical skills sought by employers. You'll graduate with a globally recognized WES-accredited certification, unlocking exciting career opportunities.

Instructors:

Debabrata Das

Prof. Chandrashekar Ramanathan

English

Not specified

Duration:
19 Months

₹ 5,45,000

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Overview

This Master's in Artificial Intelligence and Machine Learning program combines the academic excellence of IIIT Bangalore and Liverpool John Moores University to deliver a comprehensive, industry-relevant curriculum. The 19-month program covers essential AI and ML fundamentals, advanced topics like Deep Learning, NLP, and Generative AI, and specialized areas such as MLOps. Designed for working professionals, the program features 750+ hours of learning, 70+ live sessions, and 15+ real-world projects and case studies. Students benefit from dual certification - a prestigious Master's degree from LJMU and an Executive Diploma from IIIT Bangalore - both globally recognized credentials. The curriculum includes cutting-edge tools and technologies, including Python, TensorFlow, AWS, and OpenAI services, preparing graduates for high-impact roles in the rapidly evolving AI industry.

Why Master of Science (MSc)?

This Master's in Artificial Intelligence and Machine Learning stands out with its dual certification from LJMU and IIIT Bangalore, offering globally recognized credentials at 1/10th the cost of on-campus programs. The curriculum is comprehensive and forward-looking, with specialized modules on cutting-edge topics like Generative AI and MLOps that many other programs overlook. Students benefit from extensive support through 24/7 doubt resolution, career guidance, and 1:1 live mentorship sessions with industry experts. The program delivers practical learning through 60+ real-world case studies and 15+ capstone projects that solve genuine challenges like fraud detection and AI-powered systems. With instruction from IIIT-B professors and 700+ industry mentors, students gain both academic depth and practical expertise. The result is impressive career outcomes, with graduates seeing an average 52% salary increase and 5 out of 6 learners reporting positive career growth.

What does this course have to offer?

Key Highlights

Complimentary Python Programming Bootcamp
Designed for Working Professionals
15+ Case Studies and Projects
No Cost EMI Options Available
Dedicated Student Support
Exclusive Job opportunities Portal
1 Free Deferral
Daily Doubt Resolution Support

Who is this programme for?

Working professionals seeking to advance their career in AI and ML
Software engineers and developers wanting to specialize in machine learning
Data analysts and scientists looking to upgrade their skills
IT professionals interested in transitioning to AI and ML roles
Recent graduates with technical backgrounds aiming to enter the AI field

Minimum Eligibility

Bachelor's Degree with min. 50% and successful completion of the EPGP in ML from IIITB & minimum 1 year of technical work experience

Who is the programme for?

The admissions process for the Master's in Artificial Intelligence and Machine Learning program is designed to select candidates with the right technical foundation and motivation. Eligibility requirements include a Bachelor's degree with a minimum of 50% marks, successful completion of the Executive PG Program in Machine Learning from IIIT Bangalore, and at least one year of technical work experience. The application process consists of four straightforward steps: completing an online application with basic profile details, taking a short aptitude test for evaluation, receiving an offer letter if shortlisted, and reserving a seat with an initial payment of INR 15,000. This streamlined process ensures that selected candidates have the necessary background to succeed in this advanced program while making the application experience convenient for working professionals.

Important Dates

Selection process

How to apply?

Curriculum

The Master's in Artificial Intelligence and Machine Learning curriculum is comprehensive and industry-aligned, structured across multiple courses that build progressively deeper expertise. The program begins with Advanced Math & Programming to establish core mathematical and programming foundations essential for AI and ML. Students then advance to Data Analysis & Exploration, learning to extract insights from data using statistical methods and visualization techniques. The curriculum continues with Cloud Computing & Big Data, teaching students to analyze data at scale using industry-relevant cloud platforms. Foundations of ML covers essential machine learning paradigms and models, while Deep Learning & NLP introduces neural networks and natural language processing techniques. Students can specialize in either MLOps, focusing on deploying ML systems at scale, or Generative AI, mastering tools and technologies for creating AI-generated content. Throughout the program, practical application is emphasized through 15+ industry projects and case studies.

There are 11 semesters in this course

The curriculum is structured in a progressive manner, beginning with fundamental topics and advancing to specialized areas of AI and ML. Course 1 focuses on Advanced Math & Programming (5 weeks), covering conditional probability, linear algebra, multivariate calculus, and Python programming foundations. Course 2 covers Data Analysis & Exploration (5 weeks), teaching data visualization, inferential statistics, and hypothesis testing. Course 3 addresses Cloud Computing & Big Data (5 weeks), introducing cloud platforms and big data analysis with PySpark. Course 4 explores Foundations of ML (5 weeks), covering machine learning paradigms, regression models, decision trees, and clustering algorithms. Course 5 delves into Deep Learning & NLP (5 weeks), teaching neural network architectures and natural language processing techniques. The program concludes with a 16-week specialization in either MLOps or Generative AI, where students master advanced tools and techniques for deploying ML models or creating AI-generated content. Throughout the program, students work on practical projects, including recommendation systems, fraud detection models, and AI-powered applications.

Course 1

5 Weeks to complete

Course 2

7 Weeks to complete

Course 3

9 Weeks to complete

Course 4

9 Weeks to complete

Course 5

7 Weeks to complete

MLOps Elective

17 Weeks to complete

Generative AI Elective

15 Weeks to complete

Capstone

4 Weeks to complete

Research Methodologies

10 Weeks to complete

Master's Dissertation

14 Weeks to complete

Basic Maths for DS & ML

4 Weeks to complete

Programme Length

The Master's in Artificial Intelligence and Machine Learning program spans 19 months, designed with working professionals in mind. The program structure includes 750+ hours of learning content, 70+ live sessions, and 11 coding assignments. The curriculum is divided into six major components: five core courses plus a specialization track. Each course builds progressively on the previous one, beginning with fundamental mathematical and programming concepts and advancing to specialized AI and ML applications. The program includes weekly live sessions, mentorship from industry experts, and access to recorded content for flexible learning. Students complete 15+ case studies and assignments throughout the program, culminating in capstone projects that demonstrate their mastery of AI and ML concepts. This structured yet flexible approach allows working professionals to develop advanced skills while managing their career responsibilities.

Tuition Fee

The Master's in Artificial Intelligence and Machine Learning program is priced at ₹5,45,000 (inclusive of taxes). This comprehensive fee covers 750+ hours of learning content, interaction with faculty members, and access to complete career support services. The program offers flexible payment options, including EMI plans starting at ₹13,750 per month. Compared to on-campus international programs, this online master's degree provides exceptional value, costing approximately 1/10th of similar degrees from foreign universities. The program also notes that students may need to invest an additional $40 (approximately ₹3,320) for Gen AI tools subscription alongside the program fee for modules featuring Generative AI. This transparent fee structure makes advanced education in AI and ML accessible to working professionals without requiring career breaks or international relocation.

Fee Structure

Payment options

Financing options

Financial Aid

Learning Experience

The Master's in Artificial Intelligence and Machine Learning program delivers a comprehensive learning experience tailored for working professionals. The program features 70+ live sessions led by faculty and industry experts, providing interactive learning opportunities and real-time doubt resolution. Students benefit from fortnightly mentorship sessions with industry professionals who offer guidance on both technical concepts and career development. The curriculum includes 15+ case studies and assignments that challenge students to apply theoretical knowledge to real-world scenarios. Daily doubt resolution support ensures that learning progress isn't hindered by unresolved questions. The program emphasizes hands-on learning through 11 coding assignments and various capstone projects, allowing students to build a portfolio of work that demonstrates their capabilities to potential employers. This blend of theoretical knowledge and practical application, delivered through a flexible online format, enables working professionals to develop advanced AI and ML skills while maintaining their current roles.

University Experience

The program is jointly offered by two prestigious institutions: Liverpool John Moores University (LJMU) and the International Institute of Information Technology Bangalore (IIIT-B). LJMU is a UK-based university with a 200-year legacy, ranked in the #801-850 range in the QS World University Rankings 2025. The university is known for its emphasis on employability and industry partnerships, providing students with a globally recognized credential. IIIT Bangalore is one of India's premier institutes for technology and research, ranked 74th in the Engineering category of the National Institutional Ranking Framework (NIRF) in 2022. With a strong focus on cutting-edge technology and innovation, IIIT-B brings deep expertise in AI, ML, and data science education. Together, these institutions provide students with a unique combination of international recognition and specialized technical knowledge, creating a learning experience that prepares graduates for success in the global AI industry.

Word from the Directors

Professor Dhiya Al-Jumeily

Professor at the Faculty of Engineering and Technology

Professor Dhiya Al-Jumeily, OBE, is a distinguished figure in the field of Artificial Intelligence (AI) and Machine Learning (ML). He holds a PhD in Computer Science and has published over 250 peer-reviewed papers on AI, data science, and smart systems. As a professor at Liverpool John Moores University's Faculty of Engineering and Technology, he leads groundbreaking research in applied computing and AI applications.

About the University

Founded in 1998, IIITB is a premier research deemed university established through a public-private partnership between the Government of Karnataka and the IT industry. Located in Electronic City, Bangalore, the institute is known for its excellence in IT education, research, and innovation.

3,289

Total alumni

74th

NIRF ranking

29

Course specializations

Affiliation & Recognition

UGC Deemed University Status

Government of Karnataka Partnership

Career services

IIITB provides comprehensive career development support through multiple channels. The institute's strong industry connections result in consistent near-100% placement rates with major companies in product, hardware, and R&D sectors. Through partnerships with leading technology companies and startups, students receive extensive opportunities for career advancement and entrepreneurship.

$1.529B

Export balance

$3.57B

Municipal exports

81.9%

Export share

Duration:
19 Months

₹ 5,45,000

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Whom you will learn from?

Learn from top industry experts who bring real-world experience and deep knowledge to every lesson. The instructors are dedicated to help you achieve your goals with practical insights and hands-on guidance.

Instructors

Debabrata Das

Director of IIIT Bangalore and Renowned Researcher in IoT and Wireless Communication

Dr. Debabrata Das is the Director of IIIT Bangalore, with expertise in IoT, Wireless Access Networks, and Power Saving Protocols. He has published over 210 peer-reviewed papers, holds multiple patents, and has received prestigious awards.

Prof. Chandrashekar Ramanathan

Dean of Academics at IIIT Bangalore and Expert in Data Science and Software Architecture

Prof. Chandrashekar Ramanathan has over 25 years of experience in computing, spanning industry and academia. He specializes in data science, software engineering, and technology for education.

Testimonials

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they’re here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Instructors

Debabrata Das

Director of IIIT Bangalore and Renowned Researcher in IoT and Wireless Communication

Prof. Chandrashekar Ramanathan

Dean of Academics at IIIT Bangalore and Expert in Data Science and Software Architecture

Prof. Chandrashekar Ramanathan has over 25 years of experience in computing, spanning industry and academia. He specializes in data science, software engineering, and technology for education.

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.

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