Executive-Friendly Program | High Impact Format

Key Highlights of IIT Kanpur Masters Degree

  • SelectionBased on academic and professional background and test, interview where necessary. No GATE required.
  • High Impact Format Weekend-only Live interactive sessions coupled with self-paced learning.
  • Executive Friendly Schedule Learn while you earn, with the flexibility to complete the program between 1 - 3 years.
  • Career Advancement and Networking Support for placement and facilitation of incubation at IIT Kanpur's Incubation Centre.
  • IIT Kanpur Alumni Status Become an IIT Kanpur alumni with access to all the alumni privileges.
  • Credits Transfer Waiver of upto 60 credits for higher education (MTech/PhD) at IIT Kanpur.

Admission Process

  • Application
    Register with Mobile Number
    Submit Details
    Remit Application Fee
    Upload Documents
  • Selection
    Selection Test Starts March 30th
    Application Review
    Selection Test *
  • Admission

Class Start - July 2024

* Selection test differs for every programme

e-Masters in Next Generation Wireless
Technologies Course Overview

Formerly named as Communication Systems, The e-Masters in Next Generation Wireless Technologies program at IIT Kanpur is a highly sought-after program for individuals who wish to pursue a career in the field of Wireless Communication. The program offers a comprehensive curriculum that covers both theoretical and practical aspects of Next Generation Wireless Technologies. The course is structured with core modules such as Wireless Communication, Probability and Random Processes, Applied Linear Algebra for Wireless Communication, and Digital Communication Systems. These modules provide the professionals with a solid foundation in Next Generation Wireless Technologies.

The e-Masters in Next Generation Wireless Technologies program provides professionals with the skills and knowledge they need to succeed in the rapidly changing field of Next Generation Wireless Technologies. Graduates of the program will have a strong understanding of Wireless Communication Technologies, as well as the ability to apply theoretical concepts to practical Next Generation Wireless Technologies. Additionally, students will have the opportunity to work on projects, under the guidance of experienced professionals in the field.

Overall, the e-Masters in Next Generation Wireless Technologies program is an excellent opportunity for professionals who are passionate about Next Generation Wireless Technologies and want to further their knowledge in this field.

Graduation Ceremony at IIT Kanpur Campus


  • Get eMasters Degree
    from IIT Kanpur
  • Gain in-depth understanding of modern
    Next Generation Wireless Technologies
  • Learn from the leading
    research faculty
  • Receive mentorship, career support from
    IIT Kanpur placement cell
  • Incubation support for promising
    startup initiatives
  • Become a part of IIT Kanpur's
    alumni network

Why do participants choose the eMasters degree?

  • "This course will help me upskill myself with the latest innovations in 5G and help me bridge all the knowledge gaps witnessed during working on industry projects. I like the blend of this program encompassing Communication Systems and Machine Learning."
    Anupama, Software Development Manager with 17 years of experience
  • "I have worked on wireless communication systems. With eMasters, I want to enhance my knowledge of Signal Processing and other modern communication systems. This course shall further introduce me to new opportunities in this space."
    Pradeep, R&D IC Design Engineer with 11 years of experience

Hear from our Program Alumni


Learn from the experts working at the forefront of cutting-edge research and technology in
Next Generation Wireless Technologies drawn from the Department of Electrical Engineering, IIT Kanpur.

  • Rohit Budhiraja
    Ph.D. and M.S. in the Electrical Department of IIT Madras

    Communications and Signal Processing, Wireless Systems Design, 5G, Massive MIMO and Convex Optimization.
  • Abhishek Gupta
    Ph.D. in Electrical and Computer Engineering at the University of Texas at Austin, USA
    B.Tech. and M.Tech. in Electrical Engineering from IIT Kanpur

    Wireless Communication, 5G, Millimeter and THz Waves, Molecular Communications, System Level Analysis, Stochastic Geometry.
  • Aditya Jagannatham
    Ph.D. in Electronics and Communications Engineering at University of California

    5G Wireless Networks, Massive MIMO Technology, mmWave MIMO Systems, NOMA, FBMC and LAA.
  • Ketan Rajawat
    Ph.D. in Electrical and Computer Engineering from University of Minnesota
    B.Tech. and M.Tech. in Electrical Engineering from IIT Kanpur

    Optimization Algorithms, Algorithms for Big Data, Algorithms for Machine Learning, AI in Healthcare
  • Vipul Arora
    Ph.D. in Electrical Engineering from IIT Kanpur
    B.Tech. in Electrical Engineering from IIT Kanpur

    Machine Learning, Signal Processing and Optimization
  • Adrish Banerjee
    Ph.D. and M.S. in Electrical Engineering from University of Notre Dame, USA
    B.Tech. (Hons.) in Electronics and Electrical Communication Engineering from IIT Kharagpur

    Coding Theory, Wireless Communications, Applications of Machine Learning in Communications and Signal Processing and Molecular Communications
  • Rajesh M. Hegde
    Ph.D. in Computer Science and Engineering from IIT Madras

    Speech Signal Processing, Sensor Array and Multichannel Signal Processing, Multi-Microphone Speech Processing, Distant Speech Recognition, ICT in Agricultural Applications and Emergency Response, Localization and Mapping in Wireless Sensor Networks, Pervasive Computing and Communication, Spatial Audio for VR and AR, Multimodal Signal Processing and Information Fusion.
  • Subrahmanya Swamy Peruru
    Ph.D. and M.S. from the Department of Electrical Engineering, IIT Madras
    B.Tech. in Electrical Engineering from IIT Kanpur

    Wireless Networks, Artificial Intelligence and Probabilistic Graphical Models.

e-Masters in Next Generation Wireless
Technologies Course Curriculum

The Masters in Next Generation Wireless Technologies program offers a comprehensive curriculum on 5G, Edge Computing, wireless communication and hands-on experience in modern digital communication systems design.


eMasters in Next Generation Wireless Technologies consist of two types of modules- core and electives. There are 4 core modules which are compulsory and a set of elective modules. A student must take all the core modules and sufficient electives (8) to fulfil the credit requirements for the program.

  • Applied Linear Algebra for Wireless Communications

    Linear Algebra for communication, signal processing, and ML modules

  • Probability and Random Processes

    Foundation of probability

    Probability space, random variables, CDF and PDF/PMF, functions of random variables, random variable transformations, Law of Large Number and random processes

  • Digital Communication Systems I

    The fundamentals of digital communication systems, emphasizing the physical layer aspects of communications. In the first part of the course, we will discuss, among other topics, modulation techniques and optimum receivers for the AWGN channel. The course will give tools to analyze and characterize the performance of digital communication systems.

  • Wireless Communication

    Concepts and insights behind the development of modern wireless communication technologies. Detailed performance analysis of 4G/ 5G wireless technologies such as OFDM, MIMO, Multi-user MIMO

  • Introduction to Reinforcement Learning

    This course provides a solid understanding of the various reinforcement algorithms. Especially Markov Decision processes (MDP), value Iteration, policy Iteration, Monte Carlo methods, ASRSA, Q-learning, and Policy gradient methods will be taught.

  • Advanced ML Techniques for Wireless Technology
  • Machine Learning for Signal Processing
  • Deep Learning for Communications

    Theory of machine learning and its applications to 5G systems

  • Convex Optimization in SPCOM

    The aim of this course is to train the students in application and analysis of convex optimization problems in signal processing and wireless communications.

  • Estimation for Wireless Communications
  • Simulation Techniques for Modern Wireless
  • Digital Communication Systems II

    Fundamentals of digital communication systems, emphasizing the physical layer aspects of communications. Our focus will be on signal design and Communication through band limited channel and Communication over multipath fading channels in the second part of the course.

  • Simulation-Based Design of 5G-NR Wireless Standard

    Theory and practice of 5G wireless communication systems

  • Advanced Modulation and Multiple Access for Next Generation Wireless Systems

    Modern modulation and multiple access schemes for futuristic communication systems

  • RF Systems for Communication

    Scattering matrix, 1 dB compression, third-order intercept point, noise figure, etc., to specify the performance of RF components

    Block-level description of RF system, system calculations, and tradeoff in block-level specifications to achieve the overall performance

    RF measurements using vector network analyzer and spectrum analyzer

  • Detection for Wireless/ Detection for Wireless Communication and Machine Learning
  • Advanced Wireless Transceiver Processing Techniques
  • Python Based Simulation, Design and Analysis of Wireless Systems
  • Project Module

Immersive Learning Format

  • Live Interactive Sessions
  • Projects
  • Online Examination
  • Campus Visit
  • Online LIVE and self-paced sessions are delivered
    through AI-powered iPearl.ai
  • Live interaction as per the
    faculty availability
  • Apply learnings through projects while working in teams and
    establish a peer network
  • Final module-level exams will be
    conducted online
  • Opportunity to meet experts and experience the IITK campus
    during campus visits


  • Bachelor's Degree (4 years program) or a Masters Degree in the relevant discipline (Electrical/Electronics/Allied Engineering/Sciences disciplines with relevant background in Signal Processing and Communications Engineering) with at least 55% marks or 5.5/10 CPI.
  • Minimum of 2 years of work experience (You need not be currently employed to be eligible).
  • Candidates with relevant experience will be preferred.

Program Fee

Application fee ₹1500 (to be paid during application submission)

Fee structure for candidates opting to complete the program in 1 year.

Details Amount
Registration Fee
To be paid within 1 week of selection
Admission Fee
To be paid to complete enrollment
Module Fee
To be paid at the beginning of every quarter based on no. of modules selected
(Total 12 Modules)
₹45,000 per module
Quarter Fee*
To be paid at the beginning of every quarter
₹15,000 per quarter
Total Fee ₹8,00,000

*For every additional quarter, fees of Rs 15,000 will be applicable.

For Example

Candidates opting to complete the program in 5 quarters need to pay an additional fee of ₹15,000

Candidates opting to complete the program in 11 quarters need to pay an additional fee of ₹1,05,000

All other fees remain the same.

Fees paid are non-refundable (after a certain time period) and non-transferable.

About IIT Kanpur

Established in 1959 by the Government of India, Indian Institute of Technology Kanpur (IIT Kanpur) is a globally acclaimed university for world-class education and research in science, engineering, management and humanities. We aim to provide leadership in technological innovation for the growth of India.

  • Ranked 1st in Innovation, 4th in Engineering and 5th in Overall Category by NIRF 2023
  • Built on world-class academic research culture
  • Offers various undergraduate, post-graduate, integrated, and research programs in the field of engineering, science, management, and design
IIT Kanpur Online Masters Degree Courses

State-of-the-Art Digital Learning Platform

The eMasters Program by IIT Kanpur will be delivered on iPearl.ai, a State-of-the-Art digital learning platform, powered by TalentSprint. iPearl.ai, highly rated for its user experience, is a direct-to-device platform that works seamlessly on any internet-connected device and provides a single-sign on experience for all your learning needs including recorded videos, reading material, live interactive sessions, assignments, quizzes, discussion forums, virtual lounges and more.

Frequently Asked Questions

The program offers flexibility in choosing 0-3 modules in each quarter. Typically, students take 4 core modules and 8 elective modules over 4-12 quarters i.e. 1 - 3 years.

There are three approaches to sequence to modules that best suit your needs and availability :

Fast-paced approach - for students willing to complete the program within 1 year.

  • Q1: Core Modules 1, 2, 3
  • Q2: Core Module 4, Elective Modules 1, 2
  • Q3: Elective Modules 3, 4, 5
  • Q4: Elective Modules 6, 7, 8

For applicants who are unable to take out the necessary number of hours per week however, we encourage them to take fewer modules per quarter, as illustrated in the following example:

Medium-paced approach - suits most students

  • Q1: Core Modules 1, 2
  • Q2: Core Modules 3, 4
  • Q3: Elective Modules 1, 2
  • Q4: Elective Modules 3, 4
  • Q5: Elective Modules 5, 6
  • Q6: Elective Modules 7, 8

Slow-paced approach - for students willing to complete the program within 3 years.

  • Q1: Core Module 1
  • Q2: Core Module 2
  • Q3: Core Module 3
  • Q4: Core Module 4
  • Q5: Elective Module 1
  • Q6: Elective Module 2
  • Q7: Elective Module 3
  • Q8: Elective Module 4
  • Q9: Elective Module 5
  • Q10: Elective Module 6
  • Q11: Elective Module 7
  • Q12: Elective Module 8

Please note, the final template can be a mixture of above approaches, and may have 0-3 modules per quarter. Typically, core modules are taken before the elective modules.

Quarter 1 Module Schedule
Module 1 Wireless Communication Sunday 12:00 noon
Module 2 Probability and Random Processes Saturday 10:30 am
Module 3 Applied Linear Algebra for Wireless Communication Saturday 9:00 am