Certification in Applied Data Science and Machine Learning

The 12-month PG Level Advanced Certification Programme in Applied Data Science and Machine Learning from IIT Madras combines academic excellence with industry-relevant skills. Led by distinguished faculty from WSAI, the program features 250+ hours of live interactive classes, hands-on projects, and a unique campus visit component. Learn cutting-edge topics in data preprocessing, machine learning algorithms, deep learning, and NLP while working on real-world case studies. The certification from India's #1 engineering institute will accelerate your career in the booming field of data science.

Instructors:

Dr. Balaji Srinivasan

Dr. Balaraman Ravindran

English

Course Start Date:
March, 2025
Duration:
12 Months

₹ 2,50,000

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Overview

IIT Madras' PG Level Advanced Certification Programme in Applied Data Science and Machine Learning is designed to equip professionals with cutting-edge skills in data science and AI. Led by distinguished faculty from the Wadhwani School of Data Science & AI, this comprehensive program combines theoretical foundations with hands-on practical experience.

Why Technology & Analytics?

The program offers unique advantages including certification from India's #1 engineering institute, instruction by leading researchers, hands-on curriculum with industry projects, and dedicated career support. The 12-month format with live online classes and a campus visit component provides flexibility while maintaining academic rigor.

What does this course have to offer?

Key Highlights

Certification from IIT Madras - India's #1 Engineering Institute
Cutting-edge curriculum designed by WSAI faculty
250+ hours of live interactive sessions
2-day campus visit experience
Industry-relevant projects and case studies
Dedicated placement support
Flexible learning format

Who is this programme for?

Working professionals with 1+ years experience
Software developers seeking to transition to ML/AI
Data analysts looking to upgrade their skills
Technology professionals interested in data science
Engineers wanting to specialize in ML applications

Minimum Eligibility

Bachelor's degree in Engineering/Science with minimum 1 year work experience
Basic programming knowledge required
Statement of Purpose may be required for exemptions

Who is the programme for?

The admission process involves submitting an online application with academic credentials and work experience details. Selected candidates must complete the enrollment process and pay the program fee. A Statement of Purpose may be required for exemption requests. The selection is done by IIT Madras based on eligibility criteria and candidate motivation.

Important Dates

Selection process

How to apply?

Curriculum

The curriculum covers five comprehensive modules: Foundations of Data Science, Machine Learning Foundations, Real-world Applications, Deep Learning Fundamentals, and Industry Use Cases. Topics include linear algebra, probability, optimization, ML algorithms, neural networks, and practical applications across various sectors.

There are 5 semesters in this course

The program consists of five modules covering fundamental and advanced topics in data science and machine learning. The curriculum progresses from mathematical foundations to practical applications, including supervised and unsupervised learning, deep neural networks, and industry-specific use cases. Hands-on projects and case studies ensure practical skill development.

Module 1

Module 2

Module 3

Module 4

Module 5

Programme Length

12-month program with flexible learning format

Weekly live interactive sessions

2-day campus visit component

Multiple project submissions and assessments

Tuition Fee

The program fee is ₹2,50,000 + 18% GST. Various payment options are available including EMI plans starting at ₹8,358 per month. Corporate discounts may be applicable. Additional fees for campus visit will be based on actuals.

Fee Structure

Payment options

Financing options

Financial Aid

Learning Experience

The program features faculty-led masterclass lectures, hands-on labs, mentor support, and interactive sessions. The digital learning platform provides searchable video archives and discussion forums. Weekly assignments and projects ensure continuous learning.

University Experience

IIT Madras offers world-class infrastructure and learning resources. The 2-day campus visit provides networking opportunities with faculty and peers. The Wadhwani School of Data Science & AI provides access to cutting-edge research and industry connections.

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:
March, 2025
Duration:
12 Months

₹ 2,50,000

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

Dr. Balaji Srinivasan

Professor at the Department of Mechanical Engineering & WSAI at IIT Madras

Dr. Balaji Srinivasan is a professor at IIT Madras, specializing in fluid dynamics, turbulence in compressible and hypersonic flows, and rarefied flow computations. He also focuses on numerical analysis and high-performance computing. Before joining IIT Madras, he was part of IIT Delhi's Applied Mechanics Department. His research plays a significant role in advancing understanding of fluid dynamics in high-speed flows.

Dr. Balaraman Ravindran

Head of the Wadhwani School of Data Science & AI at IIT Madras and a professor in the Computer Science and Engineering Department

Dr. Balaraman Ravindran is the head of the Wadhwani School of Data Science & AI at IIT Madras and a professor in the Computer Science and Engineering Department. His research focuses on reinforcement learning, geometric deep learning, and data mining. He has published extensively in top journals and conferences and co-authored a chapter on reinforcement learning in the "Handbook of Neural Computation." His work has earned multiple awards, including a best-paper runner-up at AAMAS 2020.

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

Dr. Balaji Srinivasan

Professor at the Department of Mechanical Engineering & WSAI at IIT Madras

Dr. Balaraman Ravindran

Head of the Wadhwani School of Data Science & AI at IIT Madras and a professor in the Computer Science and Engineering Department

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.

How is the program structured?

What are the placement opportunities?

Is prior coding experience required?