eMasters in Communication Systems

Design Modern Digital Communication Systems based
on 5G, 6G and Edge Computing

  • From the Department of
    Electrical Engineering, IIT Kanpur
  • World-class faculty and
    researchers from IIT Kanpur
  • Flexible executive-friendly with an
    option to complete between 1 - 3 years
  • IIT Kanpur
    Alumni Benefits

Apply before October 26, 2021

Apply Now

IITK

eMasters Highlights

  • Direct Selection Based on the academic and professional background. GATE score not required.
  • High Impact Format Weekend-only Live interactive sessions coupled with self-paced learning.
  • Executive Friendly Schedule Learn while you earn, with a flexibility to complete the program between 1 to 3 years.
  • Credits Transfer Waiver of upto 60 credits for higher education (MTech/PhD) at IIT Kanpur.
  • Career Advancement and Networking Access to IIT Kanpur placement cell, incubation cell and alumni network.
  • IIT Kanpur Alumni Status Become an IIT Kanpur alumni with access to all the alumni privileges.

Admission Process
Apply before October 26, 2021

  • Application
    Register with Mobile Number
    Submit Details
    Remit Application Fee
    Upload Documents
  • Selection
    Application Review
    Selection Test
    Interview
  • Admission

About eMasters in Communication Systems

The new eMasters in Communication Systems would arm working professionals with a comprehensive appreciation and knowledge of modern digital communications systems. The program will address the need for trained professionals given the rapid developments in the field of communications with 5G, 6G and Edge Computing being introduced in the country.

Our comprehensive eMasters in Communication Systems will train you in equipment and devices technology that aid in delivering expertise in voice, data, and multimedia information. You will learn to design, operate, install and practice communications systems to meet the needs of the industry. Prepare yourself to successfully navigate the world of technology disruption.

Faculty

Learn from the experts working at the forefront of cutting-edge research and technology in Communications Systems 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

    Wireless Communication, Stochastic Geometry, Control, Optimization and Numerical Methods.
  • 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.

Curriculum

A well-researched real-world curriculum by IIT Kanpur’s subject matter experts that fosters hands-on learning and helps you master the desired capabilities by combining deep formal rigor and an intense practical approach.

Modules

eMasters in Communication Systems 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.

Core Modules

  • Digital Communication
    Systems
  • Wireless
    Communication
  • Probability and Random
    Processes
  • Applied Linear Algebra for
    Wireless Communication

Elective Modules

  • Advanced
    Probability
  • Machine Learning
    basics
  • Deep Learning for
    Communication
  • Detection and Estimation
    Theory
  • Speech and Audio Coding for
    Communication
  • Basics of Convex
    Optimization
  • Optimization in
    SPCOM
  • Data Communication
    Networks
  • Simulation Techniques for Modern
    Communication Systems
  • Foundations of Information
    Theory and Data Compression
  • Error Control Codes: Theory &
    Practice
  • MIMO Wireless
    Communication
  • Simulation-Based Design of
    5G-NR Wireless Standard
  • Analysis of Wireless
    Systems
  • RF systems for
    Communication
  • Advanced Modulation and Multiple Access for Next Generation Wireless Systems

Immersive Learning Format

  • Live Interactive Sessions
  • Examination
  • Campus Visit
  • Weekly access to self-paced content including recorded videos and reading material
  • Weekend-only live interactive sessions by faculty and TAs
  • Interaction and networking with Experienced Professionals
  • Final module-level exams to be conducted across major cities in India
  • IIT Kanpur campus visit (optional) to meet faculty and experience the campus

Outcomes

  • Get eMasters Degree from IIT Kanpur
  • Gain in-depth understanding of modern communication systems
  • 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

Eligibility

  • 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

Details Payment Schedule Amount
Program Registration Fee
To Block Your Seat
Within 1 Week of Selection ₹40,000
Program Registration Fee
To Complete Your Registration
Latest by Nov 21, 2021 ₹1,60,000
Quarter Registration Fee
For 1st Quarter
Latest by Nov 21, 2021 ₹15,000 Per Quarter
Module Fee
For 1st Quarter Modules
Latest by Nov 21, 2021 ₹45,000 Per Module

Exclusive ₹2,00,000 Scholarship for January 2022 Batch: Adjust your Scholarship against the fee payable from the 4th Quarter.

Frequently Asked Questions

Core Modules

  • Digital Communication Systems
    The module covers the fundamentals of digital communication systems with an emphasis on physical layer aspects of communications. It will give tools to analyze and characterize the performance of digital communication systems.
  • Wireless Communication
    The module covers the fundamental concepts and insights behind the development of modern wireless communication technologies. As part of the module, precise analytical models will be presented for various wireless systems followed by detailed performance analysis of several key 4G/ 5G wireless technologies such as OFDM, MIMO, Multi-user MIMO.
  • Probability and Random Processes
    The module focuses on strengthening the foundation of probability, keeping its application into signal processing and communications in mind. It discusses the concepts of probability space, random variables, their CDF and PDF/PMF, functions of random variables, random variable transformations, Law of Large Number and random processes.
  • Applied Linear Algebra for Wireless Communication
    The module provides the Linear Algebra background necessary for various communication, signal processing, and machine learning modules.

Elective Modules

  • Advanced Probability
    The module develops on the foundations laid by the 'Probability and Random Processes' module and provides advanced tools in probability theory. It takes a measure theoretic approach to probability theory. It also discusses concentration inequalities, and estimation of RVs. Various random processes including Markov chains are discussed along with their applications into linear systems. After completing the module, the program participants should be able to strengthen their base in probability theory and stochastic processes and apply these tools in their own research.
  • Machine Learning basics
    The module aims at introducing the students to machine learning (ML) techniques used for various signal processing applications. The module will be focused on applications in digital signal processing, and the theory will be tailored towards that end.
  • Deep Learning for Communication
    Machine learning (ML) is now routinely being applied to design state-of-the-art 5G wireless systems. This module aims to bridge the gap between the theory of machine learning and its applications to 5G systems.
  • Detection and Estimation Theory
    The goal of this module is to introduce the fundamentals of detection and estimation. It will also cover several applications from signal processing and communications.
  • Speech and Audio Coding for Communication
    The module aims at introducing the program participants to topics in automatic speech and audio processing.
  • Basics of Convex Optimization
    Convex optimization has recently been applied to a wide variety of problems in EE, especially in signal processing, communications, and networks. The module aims to train the program participants in applying and analyzing convex optimization problems in signal processing and wireless communications. At the end of this module, the students are expected to: 1. Be able to recognize convex optimization problems arising in these areas. 2. Be able to recognize ‘hidden’ convexity in many seemingly non-convex problems; formulate them as convex problems.
  • Optimization in SPCOM
    The module aims to train the program participants in applying and analyzing convex optimization problems in signal processing and wireless communications. At the end of this module, the students are expected to: 1. Know about convex optimization applications in signal processing, wireless communications, and networking research. 2. Be able to develop low-complexity, approximate solutions for complex non-convex problems.
  • Data Communication Networks
    The 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 modern- day networks and the principles of designing reliable networked systems.
  • Simulation Techniques for Modern Communication Systems
    Numerical evaluation is a quick way to evaluate complex systems where analysis is complicated. Most of the telecommunication industry relies on simulations to test their methodology. Academicians use simulation to validate their analysis and extend their results for complex systems. This module will focus on simulation methodologies in the field of communication with a significant focus on their actual implementations. The module is a balanced version of theory and implementation. It will discuss fundamental tools in numerical techniques and their application to communications.
  • Foundations of Information Theory and Data Compression
    The module 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.
  • Error Control Codes: Theory and Practice
    The module focuses on the design of error-correcting codes for applications in communication systems. In particular, we 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.
  • MIMO Wireless Communication
    The module will cover state-of-the-art multiple-input multiple-output (MIMO) wireless transmitter and receiver designs used in the 5G cellular systems.
  • Simulation-Based Design of 5G-NR Wireless Standard
    Some professionals usually have a solid theoretical background in wireless communications systems but negligible exposure in designing practical wireless systems. This module aims to bridge the gap between theory and practice of 5G wireless communication systems.
  • Analysis of Wireless Systems
    The module will cover tools from stochastic geometry to model and analyze modern wireless systems being used in 4G and 5G systems. After completing the module, the program participants should be able to apply mathematical tools from stochastic geometry in their own research to analyze modern wireless systems.
  • Advanced Modulation and Multiple Access for Next Generation Wireless Systems
    The module covers modern modulation and multiple access schemes that are potential candidates for futuristic communication systems.
  • RF systems for Communication
    RF front end is an essential part of the wireless communication system. A system designer needs to understand the performance of various components such as transmission lines, matching, filters, amplifier, oscillator, antennas, etc., so that they can be integrated efficiently. This course introduces various parameters, such as, scattering matrix, 1 dB compression, third-order intercept point, noise figure, etc., which are used to specify the performance of RF components. The course then focuses on block-level description of RF system, system calculations, and tradeoff in block-level specifications to achieve the overall performance. Finally, the course ends with an exposure to some of the RF measurements using vector network analyzer and spectrum analyzer.

Quarter 1

  • Core Module 1
  • Core Module 2
  • Core Module 3

Quarter 2

  • Core Module 4
  • Elective Module 1
  • Elective Module 2

Quarter 3

  • Elective Module 3
  • Elective Module 4
  • Elective Module 5

Quarter 4

  • Elective Module 6
  • Elective Module 7
  • Elective Module 8

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 among top engineering colleges by NIRF 2021
  • 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

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.