eMasters in AI and Machine Learning - IIT Kanpur

The eMasters in Artificial Intelligence and Machine Learning program at IIT Kanpur offers a comprehensive education in AI/ML fundamentals and applications. This executive-friendly program combines weekend live sessions with self-paced learning, allowing professionals to earn while they learn. The curriculum covers core concepts like machine learning, deep learning, and data analytics, along with specialized electives in computer vision, NLP, and IoT. Students gain practical experience through real-world projects and benefit from IIT Kanpur's renowned faculty expertise.

Instructors:

Ketan Rajawat

Tushar Sandhan

English

Course Start Date:
January, 2025
Applications Deadline:
Application Closed
Duration:
1-3 Years

₹ 8,00,000

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Overview

The IIT Kanpur eMasters in AI and ML program is designed for working professionals seeking expertise in artificial intelligence and machine learning. With a flexible format combining weekend live sessions and self-paced learning, students can complete the program in 1-3 years while continuing their careers. The curriculum covers both theoretical foundations and practical applications through real-world projects and case studies.

Why E-Masters?

The program offers several unique advantages: IIT Kanpur's academic excellence and research expertise, flexibility for working professionals, comprehensive curriculum covering both fundamentals and advanced topics, hands-on learning through projects, and valuable networking opportunities.

What does this course have to offer?

Key Highlights

Industry-recognized degree from IIT Kanpur
Flexible completion timeline (1-3 years)
Weekend-only live sessions
Real-world projects and case studies
Access to IIT Kanpur's placement cell
Alumni status and networking opportunities

Who is this programme for?

Working professionals with 2+ years experience
Technology professionals seeking AI/ML expertise
Software developers and engineers
Data scientists and analysts
IT managers and technical leaders

Minimum Eligibility

Bachelor's Degree (4 years program) or Masters Degree in relevant discipline with 55% marks or 5.5/10 CPI
Minimum 2 years full-time work experience

Who is the programme for?

The admission process involves an online application, followed by a selection test and possible interview. Academic criteria include a 4-year bachelor's degree or masters in relevant fields with minimum 55% marks. Work experience of at least 2 years is mandatory. The program follows a semester system with continuous evaluation through projects and assessments.

Important Dates

Selection process

How to apply?

Curriculum

The curriculum comprises 5 core modules and 7 elective modules, covering fundamental concepts to advanced applications. Core modules include Data Analytics, Linear Algebra, Machine Learning Basics, Optimization, and Deep Learning. Electives span specialized areas like Computer Vision, NLP, IoT, and Healthcare AI.

There are 2 semesters in this course

The program delivers comprehensive learning through a combination of core and elective modules. Core modules establish strong foundations in data analytics, linear algebra, machine learning, optimization, and deep learning. Elective modules allow specialization in areas such as computer vision, natural language processing, IoT applications, healthcare AI, and industrial automation. The curriculum emphasizes practical learning through real-world projects and case studies.

Core Modules:

Elective Modules

Programme Length

The eMasters program offers flexible completion between 1-3 years, with weekend-only live sessions and self-paced learning components. Students can access course materials anytime through the iPearl.ai platform.

Tuition Fee

The program fee is ₹8,00,000 for completion in one year, including registration fee (₹40,000), admission fee (₹1,60,000), module fee (₹5,40,000), and quarter fee (₹60,000). Additional quarter fees apply for extended duration. EMI options and education loans are available.

Fee Structure

Payment options

Financing options

Financial Aid

Learning Experience

The program combines live interactive sessions, self-paced learning, and practical projects. Teaching is delivered through the AI-powered iPearl.ai platform, offering seamless access to course materials, live sessions, and assessment tools. Students benefit from periodic faculty interactions and hands-on learning experiences.

University Experience

IIT Kanpur provides a rich academic environment with state-of-the-art facilities and research opportunities. Students gain access to the institute's resources, including digital learning platforms, faculty expertise, and networking opportunities. The program includes campus visits for in-person interaction with experts and peers.

About the University

Established in 1959, IIT Kanpur is a premier public institute of technology spread across 1037 acres in Kanpur, Uttar Pradesh. Originally started in a borrowed building of Harcourt Butler Technological Institute, it was developed under the Kanpur Indo-American Program (KIAP). The institute is renowned for pioneering computer science education in India and maintains excellence in education, research, and technological innovation.

#263

QS world ranking

#5

NIRF overall rank

#4

NIRF engineering rank

Affiliation & Recognition

UGC

AICTE

NAAC

Government of India

Career services

IIT Kanpur's Career Development Office provides comprehensive placement support to students through industry partnerships and recruitment drives. The institute's strong ties with leading companies across sectors ensure excellent career opportunities for graduates. Students benefit from career counseling, interview preparation, and access to a vast alumni network. The placement process is highly structured, with top companies from technology, consulting, and core engineering sectors regularly participating in campus recruitments.

90%

Placement rate

100+

Industry partnerships

Top Recruiters

Course Start Date:
January, 2025
Applications Deadline:
Application Closed
Duration:
1-3 Years

₹ 8,00,000

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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

Ketan Rajawat

Associate Professor, Department of Electrical Engineering, IIT Kanpur

Dr. Ketan Rajawat is an Associate Professor in the Department of Electrical Engineering at IIT Kanpur and the Chief of the SPiN Research Group Lab. He holds a Ph.D. from the University of Minnesota, USA. His research focuses on Optimization Algorithms, Algorithms for Big Data, Algorithms for Machine Learning, and the application of AI in Healthcare. His work involves developing advanced computational techniques to improve data processing and decision-making in complex systems, with a particular emphasis on healthcare applications.

Tushar Sandhan

Assistant Professor, Department of Electrical Engineering, IIT Kanpur

Dr. Tushar Sandhan is an Assistant Professor in the Department of Electrical Engineering at IIT Kanpur. He holds a Ph.D. from Seoul National University, South Korea. His research expertise includes Computer Vision, Machine Learning, and Robotics, focusing on developing innovative algorithms and systems that enhance the interaction between machines and the physical world through visual perception and intelligent decision-making.

Testimonials

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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

Ketan Rajawat

Associate Professor, Department of Electrical Engineering, IIT Kanpur

Tushar Sandhan

Assistant Professor, Department of Electrical Engineering, IIT Kanpur

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 is the program duration?

What are the eligibility criteria?

Is GATE required?