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eMasters in AI and Machine Learning - IIT Kanpur
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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.

8,00,000

Course Start Date: Starting Soon

Application Deadline: To be announced

Duration: 1-3 Years

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

  • Graduate in any discipline from recognized university with minimum "satisfactory" or Grade C equivalent

  • One year work experience required after degree completion

Not sure whether you qualify for this programme?

Admission Overview

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.

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.

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 ₹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

Need help understanding fees, EMI options, or scholarships?

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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.

University

#263

QS world ranking

#5

NIRF overall rank

#4

NIRF engineering rank

Affiliation & Recognition

UGC
AICTE
NAAC
Government of India

#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

Degree Course Image

8,00,000

Course Start Date: Starting Soon

Application Deadline: To be announced

Duration: 1-3 Years

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.