RiseUpp Logo
RiseUpp Logo
Certification in Applied Data Science and Machine Learning
Educator Logo

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.

1,87,500

Course Start Date: Starting Soon

Application Deadline: 1st Jan, 2026

Duration: 12 Months

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

  • Graduation (four years or equivalent)

  • Minimum 1 year of professional experience

  • Working professionals from design or tech background

Not sure whether you qualify for this programme?

Admission Overview

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.

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 6 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

Capstone Projects

Programme Length

The 12-month program follows a flexible learning format with weekly live interactive sessions and includes a two-day campus visit component. Learners also complete multiple project submissions and assessments throughout the program.

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.

Tuition Fee

The program fee is ₹1,87,500 + 18% GST. Various payment options are available including EMI plans starting at ₹7,943 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

Need help understanding fees, EMI options, or scholarships?

Loading alumni...

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.

University

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

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

Degree Course Image

1,87,500

Course Start Date: Starting Soon

Application Deadline: 1st Jan, 2026

Duration: 12 Months

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.