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Executive PG Certification in Data Science, AI – IIT Roorkee
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Executive PG Certification in Data Science, AI – IIT Roorkee

The Executive Post Graduate Certification in Data Science and Artificial Intelligence program from iHUB DivyaSampark, IIT Roorkee, is a comprehensive 11-month course designed for working professionals and freshers. The program covers essential data science and AI concepts, from Python programming to advanced machine learning and deep learning. Students benefit from live sessions with IIT faculty, industry projects, and guaranteed job interviews. The course includes a unique 2-day campus immersion at IIT Roorkee and offers startup incubation opportunities worth up to ₹50 Lakhs.

₹ 1,59,030

Course Start Date: Starting Soon

Application Deadline: Closing Soon

Duration: 11 Months

4.5

Sudeb Dasgupta

Sudeb Dasgupta

R. Balasubramanian

R. Balasubramanian

Narendra S. Chaudhari

Narendra S. Chaudhari

English

4.5

English

Sudeb Dasgupta

Sudeb Dasgupta

R. Balasubramanian

R. Balasubramanian

Narendra S. Chaudhari

Narendra S. Chaudhari

Overview

The Executive PG Certification in Data Science and AI is an advanced program offered by iHUB DivyaSampark, IIT Roorkee, designed to create industry-ready professionals in the fields of data science and artificial intelligence. The program combines theoretical knowledge with practical applications through 90+ live sessions, 50+ industry projects, and personalized mentorship. Students get access to cutting-edge curriculum covering Python, machine learning, deep learning, MLOps, and more.

Why Technology & Analytics?

This program stands out for its unique blend of academic excellence from IIT Roorkee and industry-relevant skills. The curriculum is designed by leading academicians and industry experts, ensuring students learn both theoretical foundations and practical applications. The program offers 2-day campus immersion at IIT Roorkee, startup incubation opportunities, and guaranteed job interviews. Top performers can receive fellowships worth ₹80,000.

What does this course have to offer?

Key Highlights

  • 620 Hours of Applied Learning

  • 90+ Live Sessions

  • 218 Hours of Self-Paced Learning

  • 50+ Industry Projects

  • One-on-One Industry Mentorship

  • 2 Days Campus Immersion

  • Startup Incubation Support up to ₹50 Lakhs

  • Microsoft Azure Certification Worth $99

  • 3 Guaranteed Job Interviews

Who is this programme for?

  • Working professionals looking to transition to data science

  • IT professionals seeking AI expertise

  • Fresh graduates interested in data science careers

  • Software developers and project managers

  • Business analysts and data analysts

  • Non-technical professionals seeking career change

Minimum Eligibility

  • A Graduate from any recognized university/ institute

  • Selection based on fulfillment of eligibility norms

  • Submission of required documents

Not sure whether you qualify for this programme?

Admission Overview

The admission process consists of three simple steps. Candidates must submit an application detailing their background and motivation. Applications are reviewed by an admission panel, and selected candidates are notified within 1-2 weeks. The program requires a bachelor's degree, but no specific work experience is mandatory. Selection is based on academic background, technical aptitude, and career goals.

Selection process

How to apply?

Curriculum

The curriculum spans 18 comprehensive modules covering fundamentals to advanced concepts in data science and AI. Key areas include Python programming, statistics, machine learning, deep learning, NLP, and MLOps. The program features both theoretical learning and hands-on projects. Students work on real-world case studies and complete a capstone project.

There are 20 semesters in this course

The program features 18 comprehensive modules delivered through a combination of live online classes and self-paced learning. Starting with Python fundamentals, it progresses through data analysis, machine learning, and advanced AI concepts. Each module includes practical exercises and real-world projects. The curriculum culminates in a capstone project and includes special modules on emerging technologies like generative AI and MLOps.

Module 1 – Preparatory Session - Linux and Python

Module 2 – Data Transformation Using SQL

Module 3 – Python Libraries For Data Science

Module 4 – Inferential Analytics

Module 5 – Machine Learning

Module 6 – Supervised Learning

Module 7 – Unsupervised Learning

Module 8 - Advanced Machine Learning Algorithms

Module 9 – Data Science At Scale with Spark

Module 10 – Deep Learning Using TensorFlow

Module 11 – Natural Language Processing

Module 12 – Fundamentals of Generative AI Frameworks

Module 13 - Prompt Engineering & Application-Based Generative AI

Module 14 - Agentic Foundations for Machine Learning Workflows

Module 15 - Intelligent Agent-Driven Modeling and Evaluation

Module 16 – Power BI

Module 17 – MLOps

Module 18 – Data Science Capstone Project

Module 19 - Business Case Studies

Module 20 – Excel Analytics

Programme Length

This is an 11-month program with weekend classes held on Saturdays and Sundays. It includes over 90 live sessions and 218 hours of self-paced learning, along with a two-day campus immersion experience at IIT Roorkee.

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.

Sudeb Dasgupta
Professor Sudeb Dasgupta is a distinguished faculty member in the Department of Electronics & Communication Engineering at the Indian Institute of Technology (IIT) Roorkee. He is known for his extensive research in areas such as nanoscale MOSFET modeling and simulation, contributing significantly to VLSI/ULSI technologies. Professor Dasgupta has been involved in numerous sponsored research projects, including those funded by the Ministry of Human Resources and Development (GOI) and the Ministry of Information and Communication Technology. His academic career is complemented by his active involvement in teaching, supervising Ph.D. scholars, and guiding projects and theses.
R. Balasubramanian
Professor R. Balasubramanian is a distinguished academic leader and Head of the Department of Computer Science and Engineering at the Indian Institute of Technology (IIT) Roorkee. With a Ph.D. in Mathematics and Computer Science from IIT Madras, his research interests span a wide range of fields, including computer vision, machine learning, medical imaging, and multimedia security. He has held various prestigious academic positions, including visiting research roles at global institutions such as The University of Queensland, Osaka Metropolitan University, and the National University of Singapore. Throughout his career, Professor Balasubramanian has been actively involved in groundbreaking research and development projects, including AI-driven trading platforms and hyperspectral imaging techniques for seed classification. He is committed to advancing both academic and practical applications in the fields of artificial intelligence, computer vision, and data science.
Narendra S. Chaudhari
Dr. Narendra S. Chaudhari is a Professor at the Indian Institute of Technology (IIT) Indore and a seasoned academic leader with a rich career spanning over three decades. His expertise covers network security, mobile computing, machine learning, optimization, and novel neural network models. He has held key positions in prestigious institutions, including Vice Chancellor of Uttarakhand Technical University and Director of Visvesvaraya National Institute of Technology, Nagpur. Dr. Chaudhari has significantly contributed to the advancement of research, mentoring over 40 doctoral students and publishing more than 380 research papers. His leadership and research impact extend internationally, with contributions to global collaborations and academic delegations in countries such as Sweden, China, and Russia. With a strong track record of R&D projects and publications, Dr. Chaudhari is a recognized figure in the academic and research communities. He is also an active member of several professional societies, including IEEE and IETE
Sushanta Karmak
Professor Sushanta Karmakar is a distinguished academic at the Indian Institute of Technology (IIT) Guwahati, specializing in graph algorithms. He currently teaches CS101: Introduction to Computing, and has contributed significantly to the field through his research, with numerous publications listed in the DBLP bibliography server. Professor Karmakar's expertise in computer science and his academic leadership are evident in his teaching and research at IIT Guwahati's Department of Computer Science and Engineering. He is available for academic collaboration and research inquiries through his office at IIT Guwahati.
Nishkam Shivam
Nishkam Shivam is an accomplished AI professional currently leading data science initiatives at Bristlecone, after notable roles at Walmart and Accenture. With a rich background in generative AI, machine learning, and data science, he has helped drive transformative solutions across industries. Nishkam’s expertise spans large-scale AI systems, and he has actively contributed as a mentor and trainer in various prestigious programs. His experience as a Data Science Coach for institutions like IIIT Bangalore and as a Data Science SME for prominent institutes further showcases his leadership in the field. Nishkam is known for his problem-solving abilities, technical acumen, and dedication to advancing AI research and applications.

Tuition Fee

The program fee is ₹1,59,030 (inclusive of all taxes). Various payment options are available including EMI starting at ₹6,999 per month. The fee covers all learning materials, live sessions, project mentorship, career services, and campus immersion program. Financial assistance and EMI options are available through partner institutions.

Fee Structure

Payment options

Financing options

Financial Aid

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.

Abhay Kumar Sah

106

Students

3

Courses

Abhay Kumar Sah is an Assistant Professor at IIT Roorkee, specializing in advanced wireless communication. He teaches the course "Foundations of Advanced Wireless Communication," which covers essential concepts, techniques, and algorithms necessary for understanding and designing modern wireless communication systems. The course includes topics such as multi-antenna systems, MIMO (Multiple Input Multiple Output), massive MIMO for 5G, and various multiple access techniques like OFDM (Orthogonal Frequency Division Multiplexing) and NOMA (Non-Orthogonal Multiple Access).
Dr. S. K. Gupta

296

Students

1

Course

Dr. S. K. Gupta is currently an Associate Professor in the Department of Mathematics at IIT Roorkee, specializing in areas such as Support Vector Machines, Fuzzy Optimization, and Mathematical Programming, which encompasses duality theory, non-smooth and non-convex optimization, vector optimization, and variational inequalities. He earned his Ph.D. in Optimization Theory from IIT Roorkee in 2008. Throughout his career, Dr. Gupta has received several accolades, including the "Outstanding Teacher Award" at IIT Roorkee in 2018 and the "Best Teacher Award" at IIT Patna in 2010. He was also a gold medalist in MSc (Applied Mathematics) from IIT Roorkee in 2002. Having guided six PhD theses, he is currently supervising five more. Dr. Gupta has published over 55 research articles in reputable international journals and is an active member of the Operational Research Society of India, as well as a contributor to the Working Group on Generalized Convexity.
Dr. Dheeraj Kumar

104

Students

2

Courses

Dr. Dheeraj Kumar is currently an Assistant Professor in the Department of Electronics and Communications Engineering at the Indian Institute of Technology Roorkee, India. He earned his Bachelor’s and Master’s dual degree in Electrical Engineering from the Indian Institute of Technology Kanpur and completed his Ph.D. at The University of Melbourne, Australia. Following his doctoral studies, he served as a post-doctoral researcher at Purdue University in the USA before joining IIT Roorkee. Dr. Kumar's research interests focus on big data mining for Internet of Things (IoT) and smart city applications, urban sensing, and urban mobility.
Ekant Sharma

106

Students

3

Courses

Dr. Ekant Sharma is currently an Assistant Professor in the Department of Electronics and Communication Engineering at the Indian Institute of Technology Roorkee, India. His research primarily focuses on designing optimization algorithms for next-generation wireless communication systems that aim to deliver multi-gigabit data rates while significantly enhancing energy consumption and spectrum utilization. He obtained his Ph.D. and M.Tech. degrees from IIT Kanpur, India, within the Signal Processing, Communication, and Networks Group in the Electrical Engineering department.

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

₹ 1,59,030

Course Start Date: Starting Soon

Application Deadline: Closing Soon

Duration: 11 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.