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Post Graduate Certificate in Data Science & Machine Learning
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Post Graduate Certificate in Data Science & Machine Learning

The Post Graduate Certificate Programme in Data Science and Machine Learning from IIT Roorkee offers an immersive learning experience in data analytics, machine learning, and AI. This 8-month program combines theoretical foundations with practical applications through hands-on projects and specializations.

2,36,000

Course Start Date: 14th Feb, 2026

Application Deadline: 27th Dec, 2025

Duration: 8 Months

Overview

IIT Roorkee's Post Graduate Certificate in Data Science & Machine Learning is a comprehensive 8-month program designed for professionals seeking expertise in data science and AI technologies. The program combines theoretical knowledge with practical applications through 388 hours of learning.

Why Technology & Analytics?

The program stands out for its cutting-edge curriculum including GenAI applications and two specializations. Students benefit from hands-on experience with industry tools, real-world projects, and optional campus immersion.

What does this course have to offer?

Key Highlights

  • 132 hours live online sessions

  • 196 hours self-paced learning

  • 30 hours campus immersion

  • 30 hours capstone project

  • Two specialization tracks

  • Industry-relevant tools

  • Hands-on projects

Who is this programme for?

  • IT professionals

  • Software engineers

  • Data analysts

  • Technology professionals

  • Engineering graduates

  • Data science enthusiasts

Minimum Eligibility

  • Bachelor's degree with minimum 50% marks

  • Minimum 1 year experience in IT/software/technology

  • Preference for Engineering/Technology/Computer Science background

Not sure whether you qualify for this programme?

Admission Overview

The program features continuous assessment including assignments (60%), capstone project (20%), quizzes (10%), and attendance (10%). Minimum 75% attendance and 50% overall marks required for completion certificate.

Here's a Glimpse of Your Degree

Sample Degree Certificate

*Disclaimer: The image is for illustrative purposes only and may be subject to change at the discretion of Management.

Selection process

How to apply?

Curriculum

The curriculum spans nine core modules and two specialization tracks covering Python, machine learning, deep learning, MLOps, and data engineering. Includes hands-on projects, case studies, and capstone project.

There are 14 semesters in this course

The program features nine comprehensive modules beginning with data science foundations and progressing through machine learning, deep learning, and specialized tracks. Key areas include Python programming, statistical analysis, neural networks, computer vision, and data engineering. Each module combines theory with practical implementation.

Module 1: Orientation

Module 2: Foundations of Data Science (and Generative AI)

Module 3: Python for Data Science

Module 4: Exploratory Data Analysis and Data Visualisation

Module 5: Machine Learning

Module 6: Advanced Machine Learning

Module 7: Text Analytics

Module 8: Neural Networks and Deep Learning

Module 9: MLOps

Module 10: Specialisation 1: Deep Learning with Image and Speech

Module 11: Specialisation 2: Data Engineering

Module 12: Capstone Project

Module 13: Tools

Module 14: Projects

Programme Length

8 months comprising 388 total learning hours: 132 hours live sessions, 196 hours self-paced learning, 30 hours campus immersion, and 30 hours capstone project.

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

Program fee ₹2,00,000 plus GST (₹36,000), totaling ₹2,36,000. Three installments available: ₹69,000, ₹65,000, and ₹65,000. Early payment discounts up to ₹15,000 available.

Fee Structure

Payment options

Need help understanding fees, EMI options, or scholarships?

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About the University

Established in 1847, IIT Roorkee is one of the oldest engineering institutions in India and was designated as an Indian Institute of Technology in 2001. Located in Roorkee, Uttarakhand, it is recognized for its academic excellence and research contributions in engineering, science, and technology. IIT Roorkee offers a variety of undergraduate, postgraduate, and doctoral programs across multiple disciplines.

University

6

NIRF Ranking (2024)

335

QS World University Ranking (2024)

23

Number of academic departments

Affiliation & Recognition

Ministry of Education, Government of India
National Board of Accreditation (NBA)
International Association of Universities

6

NIRF Ranking (2024)

335

QS World University Ranking (2024)

23

Number of academic departments

Affiliation & Recognition

Ministry of Education, Government of India
National Board of Accreditation (NBA)
International Association of Universities

Featured 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.

Career services

The Placement and Internship Cell at IIT Roorkee provides comprehensive support for students' career development. Services include career counseling, resume workshops, job fairs, and networking events with industry professionals. The cell also facilitates internships and co-op opportunities to enhance practical experience.

95%

Placement rate

₹12 LPA

Average salary offered to graduates

200+

Number of recruiters visiting annually

Numerous

Internship Opportunities

Degree Course Image

2,36,000

Course Start Date: 14th Feb, 2026

Application Deadline: 27th Dec, 2025

Duration: 8 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.