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:
English
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Course Start Date:
Starting Soon
Application Deadline:
To be announced
Duration:
1-3 Years
₹ 8,00,000
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
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.
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.
Instructors
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.
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.
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.
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
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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.
#263
QS world ranking
#5
NIRF overall rank
#4
NIRF engineering rank
Affiliation & Recognition
UGC
AICTE
NAAC
Government of India
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
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.
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.
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:
Starting Soon
Application Deadline:
To be announced
Duration:
1-3 Years
₹ 8,00,000
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.