Centre for Machine Intelligence and Data Science (C-MInDS), IIT Bombay

Executive Post-Graduate Diploma in Artificial Intelligence and Data Science

Master AI & Data Science from IIT Bombay

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Executive Post-Graduate Diploma in Artificial Intelligence and Data Science

Programme Overview
Tools
Certificate
Faculty
Fees

Programme Highlights

Accredited Executive PG Diploma from IIT Bombay
Online synchronous 3-semester programme designed for working professionals
Designed and delivered by IIT Bombay faculty
Individual Course Credits can be saved in the Academic Bank of Credits (ABC)
Earn upto 36 IIT Bombay credits which can be transferred to higher degrees at IIT Bombay
Hands-on learning through industry-relevant tools
In-person graduation ceremony at IIT Bombay campus
Academic support for prompt query resolution
IIT Bombay alumni status
Personalised assistance with a dedicated Programme Manager

India’s top ranked university

QS World University Rankings 2025
#30

QS Rankings in Data Science and AI, 2024
#3

NIRF India Rankings 2024
#45

QS Rankings in Engineering & Technology, 2024

Learn from IIT Bombay Faculty

BIPLAB BANERJEE

Associate Professor
Centre of Studies in Resources Engineering (CSRE), IIT Bombay
Ph.D. | IIT Bombay

Research Interests: Computer Vision, Image Processing, Satellite Image Analysis, Deep Learning, Advanced Machine Learning
SUDEEP BAPAT

Assistant Professor
SJM School of Management, IIT Bombay
Ph.D. | University of Connecticut

Research Interests: Sequential Analysis, Change Point Detection, Time Series, Statistical Inference, Linear Models, Survival Analysis.
PUSHPAK BHATTACHARYYA

Professor,
Department of Computer Science and Engineering, IIT Bombay
Ph.D. | IIT Bombay

Research Interests: Machine Learning and AI Algorithms, Natural Language Processing, Text Analytics and Search
ABIR DE

Assistant Professor,
Department of Computer Science and Engineering, IIT Bombay
Ph.D. | IIT Kharagpur

Research Interests: AI and Society, Social Networks, Machine Learning
VINAY KULKARNI

Adjunct Professor,
Centre for Machine Learning and Data Science (C-MInDS), IIT Bombay
Ph.D. | IIT Bombay

Research Interests: Big Data Technologies and Engineering Applications of Machine Learning and AI
GOPALAKRISHNAN SHIVASUBRAMANIAN

Associate Professor
Department of Mechanical Engineering, IIT Bombay
Ph.D. | University of Massachusetts - Amherst

Research Interests: Numerical Methods, Computational & Geophysical Fluid Dynamics, Higher Order Methods, Parallel Algorithms for CFD, Computing

Note: This is an indicative list of faculty and is under the purview of IIT Bombay

Hands-On Learning through Projects

Analyse Consumer Behaviour using Survey Data

Analyse survey data to understand consumer behaviour patterns. For example, you could investigate the relationship between income levels and spending habits, or how age affects preferences for certain products.

Predict House Prices based on Location and Features

Develop a model to predict house prices based on factors such as location, square footage, number of bedrooms, and other features.

Predict Credit Card Default

Build a classification model that can predict whether or not a customer will default on their credit card.

Identify Related Stocks based on Stock Market Activity

Use a K-means clustering algorithm to identify related companies by finding correlations among stock market movements over a given time span.

Build Business Applications using Language Models

Train LMs and prompt/fine tune LLMs for building chatbots, translators, question answering systems, sentiment and emotion analysers, summarizers and so on.

Computer Vision

Use off-the-shelves CNN and ViT techniques for image recognition. Design models from the scratch, synthesize images using GAN/VAE/Diffusion and work with Vision-language models.

Industry-focused curriculum

Languages and Tools covered

Python
SQL
NumPy
Pandas
Seaborn
Scikit-Learn
TensorFlow
Keras
Hugging Face
Docker
Kubernetes
PyTorch

and many more...

Note: Languages and tools used are under the purview of the faculty and a thorough review would be undertaken from time to time to ensure the programme coverage is in line with industry requirements.

IIT Bombay Alumni Status

Earn an Executive PG Diploma from IIT Bombay

Upon completion, you'll have the opportunity to attend an in-person graduation ceremony at the IIT Bombay campus

Note: Image for illustration only. Certificate subject to change.
Individual course completion certificates can be issued on request for all completed courses.

Learning Outcomes

Build a strong foundation for mastering ML and AI concepts and technologies
Explore, analyze and extract valuable business insights from data and validate them
Evaluate business problems and develop an ability to build end-to-end data-driven solutions
Leverage text data to build useful Natural Language solutions using Generative AI
Develop and deploy AI/ML solutions for business use cases
Communicate and present AI/ML solutions effectively

Master industry-valued skills

Learn AI & Data Science with a curriculum designed and delivered by IIT Bombay faculty

Python Libraries
Deep Learning with Generative AI
AI-ML in Practice
Machine Learning
Data Science & Analytics
Transformers & Hugging Face

Programme Fees

Admisson Fee: ₹ 60,000

1st Semester: ₹ 1,80,000

2nd Semester: ₹ 1,80,000

3rd Semester: ₹ 1,80,000

*For more details on flexible fee payments, please contact a Programme Advisor

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Benefits of learning with us

Executive PG Diploma - an accredited programme from IIT Bombay.
Earn upto 36 Credits from IIT Bombay, transferable towards higher degrees.
In-person graduation at IIT Bombay campus and IIT Bombay alumni status.
Designed and delivered by IIT Bombay faculty.
Individual Course Credits can be saved in the Academic Bank of Credits (ABC).
Personalised assistance with a dedicated Programme Manager.

Application Process

Our admissions close once the requisite number of participants enroll for the upcoming batch . Apply early to secure your seats.

1. Application

Interested candidates can apply for Executive PG Diploma by filling out a simple online application form.
2. Online Test

Applicants must take an online test to assess their foundational knowledge and suitability for the programme.
3. Screening

After completing the online test, applicants will go through a mandatory screening call with the Admission Director’s office
4. Admission Offer and Enrolment

The selected candidates will receive an offer letter to join the programme. They will need to pay the admission fee to secure their seat and complete enrolment.

Eligibility

The eligibility criteria for the Executive Post-Graduate Diploma in Artificial Intelligence and Data Science is as follows:

The minimum requirement to apply for the programme is either a recognised 4-year undergraduate degree or a recognised 3-year undergraduate degree with at least one year of work experience. Post-graduate and doctorate students can also apply.
Understanding of Mathematics and Statistics at the undergraduate level.

Limited seats available