Executive Certification in Advanced Data Science - IITM

This 10-month executive certification program from IITM Pravartak offers comprehensive training in advanced data science, AI, and machine learning. The curriculum combines mathematical foundations with practical applications through case studies and hands-on projects, preparing professionals for the AI revolution.

Instructors:

Prof. Ganapathy Krishnamurthi

Prof. Balaji Srinivasan

English

Course Start Date:
12th October 2025
Applications Deadline:
Closing Soon
Duration:
10-10 Months

₹ 1,80,000

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Overview

The Executive Certification in Advanced Data Science & Applications is designed to empower professionals with advanced knowledge in AI, deep learning, and data analytics. The program combines theoretical foundations with practical applications through extensive hands-on training and real-world case studies.

Why Technology & Analytics?

This program stands out for its comprehensive coverage of modern AI and data science techniques, taught by distinguished IIT Madras faculty. The curriculum includes cutting-edge topics like generative AI and large language models, with emphasis on practical applications through industry-relevant case studies.

What does this course have to offer?

Key Highlights

Certificate from IITM Pravartak
2 days campus immersion
Industry-specific case studies
Peer learning opportunities
Exclusive IIT Madras faculty instruction
Comprehensive practical applications
Hands-on project experience

Who is this programme for?

Software engineers and developers
Data science professionals
Technology professionals
Analytics practitioners
Professionals in computational fields

Minimum Eligibility

Graduate/4-year Engineering Degree/B.Sc+M.Sc from recognized university
Minimum 3 years experience
Comfort with basic mathematics
Preferably in software engineering or computational work

Who is the programme for?

The selection process evaluates candidates based on their detailed profile, including academic record, professional experience, and program expectations. Candidates must meet educational requirements and have relevant work experience.

Important Dates

Selection process

How to apply?

Curriculum

The curriculum spans five comprehensive modules: Mathematical Preliminaries, Computational Tools, Machine Learning Foundations, Deep Learning, and Generative Models in Modern AI. Each module combines theoretical concepts with practical applications.

There are 5 semesters in this course

The program covers essential topics from mathematical foundations to advanced AI applications. Module 1 covers mathematical preliminaries including linear algebra and statistics. Module 2 focuses on Python programming and key libraries. Module 3 explores machine learning foundations. Module 4 delves into deep learning and neural networks. Module 5 covers modern AI and generative models.

Module 1: Mathematical Preliminaries

Module 2: Computational Tools

Module 3: Machine Learning: Foundations and Algorithms

Module 4: Deep Learning

Module 5: Generative models in Modern AI

Programme Length

The program runs for 10 months in a hybrid format, with 120 hours of interactive learning. Classes are held on Sundays from 1:00 PM to 4:00 PM.

Tuition Fee

The total program fee is ₹180,000 plus GST, with an application fee of ₹2,360. The fee can be paid in three installments: ₹80,000, followed by two installments of ₹50,000 each.

Fee Structure

Payment options

Financing options

Financial Aid

Learning Experience

The program delivers content through live online sessions by IIT Madras faculty, complemented by hands-on exercises, case studies, and projects. Students benefit from interactive learning and peer discussions.

University Experience

Students receive access to IITM Pravartak's resources including a 2-day campus immersion. The program provides comprehensive learning support and industry-relevant project experience.

About the University

Established under the National Mission on Interdisciplinary Cyber-Physical Systems, IITM Pravartak Technology Innovation Hub is hosted by the Indian Institute of Technology Madras. The hub focuses on advancing research and development in the areas of Sensors, Networking, Actuators, and Control Systems (SNACS). It aims to foster collaboration among academia, industry, and government to create innovative solutions for societal challenges.

170

Total Projects

10+

Research Areas

31

Publications

Affiliation & Recognition

Department of Science and Technology, Government of India

National Mission on Interdisciplinary Cyber-Physical Systems

IIT Madras

Career services

The hub offers career development opportunities through partnerships with industry leaders and startups. It provides training programs aimed at equipping students with industry-ready skills in areas such as AI, machine learning, cybersecurity, and embedded systems. The hub also facilitates internships and project opportunities for students to gain practical experience.

1083

Skill Development Sessions

928

Job Opportunities Created

Course Start Date:
12th October 2025
Applications Deadline:
Closing Soon
Duration:
10-10 Months

₹ 1,80,000

Add to compare

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

Prof. Ganapathy Krishnamurthi

Faculty in the Department of Engineering Design and Associate Faculty at the Robert Bosch Center for Data Science and Artificial Intelligence at IIT Madras.

Prof. Ganapathy Krishnamurthi is a faculty member in the Department of Engineering Design at the Indian Institute of Technology (IIT) Madras and serves as an Associate Faculty at the Robert Bosch Center for Data Science and Artificial Intelligence. He holds a Ph.D. from Purdue University and an M.Sc. in Physics from IIT Madras, which provide him with a strong foundation in both theoretical and applied aspects of engineering and data science. His academic pursuits are characterized by a focus on integrating engineering design principles with advanced data analytics and artificial intelligence techniques, contributing significantly to the development of innovative solutions in engineering.

Prof. Balaji Srinivasan

MS in Aerospace Engineering from Purdue University in 2000 and PhD from the Department of Aeronautics and Astronautics, Stanford University in 2006

Prof. Balaji Srinivasan is a prominent academic in the field of Aerospace Engineering, currently serving as a faculty member at the Indian Institute of Technology (IIT) Madras. He earned his M.S. in Aerospace Engineering from Purdue University in 2000 and completed his Ph.D. in Aeronautics and Astronautics from Stanford University in 2006. Prior to his current position, he was a faculty member in the Applied Mechanics Department at IIT Delhi from 2008 to 2016. His educational background also includes a B.Tech in Aerospace Engineering from IIT Madras, which laid the foundation for his extensive career in academia and research.

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

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

Prof. Ganapathy Krishnamurthi

Faculty in the Department of Engineering Design and Associate Faculty at the Robert Bosch Center for Data Science and Artificial Intelligence at IIT Madras.

Prof. Balaji Srinivasan

MS in Aerospace Engineering from Purdue University in 2000 and PhD from the Department of Aeronautics and Astronautics, Stanford University in 2006

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.

What are the prerequisites?

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