Class Start - January 2025
* Selection test differs for every programme
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.
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.
A.R. Harish
Tushar Sandhan
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.
Modules
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.
Linear Algebra for communication, signal processing, and ML modules
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
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.
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
This course aims to provide students with a solid understanding of the various RL algorithms, enabling them to apply this knowledge to their specific research areas
Theory of machine learning and its applications to 5G systems
The aim of this course is to train the students in application and analysis of convex optimization problems in signal processing and wireless communications.
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.
Theory and practice of 5G wireless communication systems
Modern modulation and multiple access schemes for futuristic communication systems
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
During the course, students will engage in Python-based projects and case studies covering fundamental machine-learning techniques like Linear Regression, Logistic Regression, Support Vector Machines, Linear Discriminant Analysis, Principal Component Analysis, and more. They will also acquire proficiency in using Python IDEs, preparing them for handling advanced machine learning projects in the future.
In this course, students will complete Python-based projects focusing on key 4G/5G wireless technologies including Multiple-Antenna Systems, OFDM, MIMO, and MIMO-OFDM, exploring concepts such as beamforming, channel estimation, optimization, detection, and bit-error rate (BER) performance from a practical perspective. They will gain hands-on experience with Python libraries and enhance their proficiency in using integrated development environments (IDEs) to prepare for more advanced projects in the future.
The goal of this module is to introduce the fundamentals of detection and estimation. The module will cover several applications from signal processing and communications, also.
This module aims to introduce the students to topics in automatic speech and audio processing.
This module gives a first introduction to networked systems and the Internet. The goal is to provide some insight into the reasons behind the architecture of the modern-day networks and the principles of designing reliable networked systems.
In this module, we will answer two fundamental questions in communications that information theory answers, namely, what is the ultimate data rate at which we can reliably communicate over a channel, and what is the ultimate data compression that we can achieve. In addition to theory, we will also cover practical compression algorithms.
In this module, students will study the design of error-correcting codes for applications in communication systems. In particular, the students will study the theory of design of linear block codes and convolutional codes with examples from the current state of the error correcting codes such as turbo codes, LDPC codes, and polar codes.
This module will cover state-of-the-art multiple-input multiple-output (MIMO) wireless transmitter and receiver designs which are being used in the 5G cellular systems.
This module will cover tools from stochastic geometry to model and analyze modern wireless systems being used in 4G and 5G systems. After completion of the module, the students should be able to apply mathematical tools from stochastic geometry in their own research to analyze modern wireless Systems.
Live Interactive Sessions
Projects 
Online Examination
Campus Visit
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 |
₹40,000 |
| Admission Fee To be paid to complete enrollment |
₹1,60,000 |
| Module Fee To be paid at the beginning of every quarter based on no. of modules selected (Total 12 Modules) |
₹5,40,000 ₹45,000 per module |
| Quarter Fee* To be paid at the beginning of every quarter |
₹60,000 ₹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.
Education loan avail from 
EMI Options 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.
IIT Kanpur’s eMasters Degree in Communication Systems to diversify domain expertise
Modern digital communication systems have created a dire need for a highly skilled workforce. With many countries successfully using 5G and preparing for 6G....
IIT Kanpur’s eMasters Degree in Communication Systems to diversify domain expertise
Modern digital communication systems have created a dire need for a highly skilled workforce. With many countries successfully using 5G and preparing for 6G....
IIT Kanpur’s eMasters Degree in Communication Systems to diversify domain expertise
Modern digital communication systems have created a dire need for a highly skilled workforce. With many countries successfully using 5G and preparing for 6G...
IIT Kanpur's eMasters Degree in Communication Systems to diversify domain expertise
IIT Kanpur's eMasters Degree in Communication Systems to diversify domain expertise. IIT Kanpur's eMasters Degree in Communication Systems to diversify domain expertise...
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.
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 :
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:
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 |
