eMasters in Next Generation Wireless Technologies
The eMasters in Next Generation Wireless Technologies program at IIT Kanpur is designed for professionals seeking expertise in wireless communications. This comprehensive program covers both theoretical and practical aspects, featuring core modules in Wireless Communication, Probability and Random Processes, Applied Linear Algebra, and Digital Communication Systems. Students gain hands-on experience with modern digital communication systems while maintaining their careers. The program offers flexibility in completion time (1-3 years) and includes support for placement and incubation opportunities at IIT Kanpur's Innovation Centre.
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 eMasters in Next Generation Wireless Technologies program offers a comprehensive curriculum that combines theoretical foundations with practical applications in modern wireless communications. Students learn from leading faculty members of IIT Kanpur's Department of Electrical Engineering, gaining expertise in 5G technologies, edge computing, and advanced wireless systems. The program's flexible format allows professionals to continue working while pursuing their education.
Why E-Masters?
The program stands out for its industry-relevant curriculum, expert faculty from IIT Kanpur, and unique blend of online and on-campus learning. Students benefit from IIT Kanpur's research excellence, placement support, and prestigious alumni network. The program's flexible duration (1-3 years) makes it ideal for working professionals.
What does this course have to offer?
Key Highlights
IIT Kanpur Alumni Status
No GATE Score Required
Flexible 1-3 Year Duration
Weekend-only Live Sessions
Placement Support
Incubation Opportunities
Credits Transfer Option for Higher Education
Who is this programme for?
Working professionals in electrical/electronics engineering
Telecom industry professionals
R&D engineers in wireless communications
Technology managers in communications sector
Professionals seeking expertise in 5G and future wireless technologies
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 application review, selection test, and interview where necessary. No GATE score is required. Academic structure includes core modules in wireless communications fundamentals and elective modules in specialized areas. Students must complete 4 core modules and 8 electives over 4-12 quarters.
Selection process
How to apply?
Curriculum
The curriculum comprises core modules in Wireless Communication, Probability and Random Processes, Applied Linear Algebra, and Digital Communication Systems. Elective modules cover advanced topics like 5G-NR, Machine Learning for Communications, RF Systems, and MIMO Technologies. All modules include theoretical concepts and practical applications.
There are 2 semesters in this course
The program features four mandatory core modules and a selection of elective modules. Core modules establish fundamental concepts in wireless communications, while electives allow specialization in areas like 5G technologies, machine learning applications, and advanced wireless systems. The curriculum emphasizes both theoretical understanding and practical implementation through projects and case studies.
Core Modules
Elective Module
Programme Length
Students can complete the program in 1-3 years, with the flexibility to take 0-3 modules per quarter. The program requires completion of 12 modules (4 core + 8 electives) through weekend-only live interactive sessions and self-paced learning.
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.
Associate Professor, Department of Electrical Engineering, IIT Kanpur
Dr. Vipul Arora is an Associate Professor in the Department of Electrical Engineering at IIT Kanpur and an Adjunct Faculty at the Samtel Centre for Display Technologies and Flexible Electronics. He is also the Chief of the MADHAV Lab at IIT Kanpur. His research expertise includes Audio Signal Processing, Machine Learning, Music Information Retrieval, and Speech Recognition, focusing on developing innovative approaches for processing and analyzing audio and speech data through advanced machine learning techniques.
Tuition Fee
The program fee is ₹8,00,000, 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
Learning combines weekend live interactive sessions with self-paced content on the iPearl.ai platform. Students engage in projects, online examinations, and campus visits. The platform provides access to recorded videos, reading materials, assignments, quizzes, and discussion forums.
University Experience
Students become part of IIT Kanpur's prestigious campus community. The institute, ranked among India's top institutions, offers world-class facilities and a vibrant academic environment. Campus visits provide networking opportunities with faculty 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.
Associate Professor, Department of Electrical Engineering, IIT Kanpur
Dr. Vipul Arora is an Associate Professor in the Department of Electrical Engineering at IIT Kanpur and an Adjunct Faculty at the Samtel Centre for Display Technologies and Flexible Electronics. He is also the Chief of the MADHAV Lab at IIT Kanpur. His research expertise includes Audio Signal Processing, Machine Learning, Music Information Retrieval, and Speech Recognition, focusing on developing innovative approaches for processing and analyzing audio and speech data through advanced machine learning techniques.
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.