e-Masters in Next Generation Wireless Technologies

Design Modern Digital Communication Systems based on 5G, Edge Computing and Wireless Communication. Advance Your Career with a Masters Degree in Next Generation Wireless Technologies.

No GATE Score required | Support for placement and facilitation of incubation at Startup Incubation and Innovation Centre, IIT Kanpur | Earn Masters Degree without leaving your job | Top Faculty from Dept. of Electrical Engineering

Round 2 - Application closes on 15th Oct 2023

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Key Highlights of IIT Kanpur e-Masters Degree

Selection

Based 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 to 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

  • Application Review
  • Selection Test
  • Interview

Admission

Class start – January 2024

* Selection test differs for every programme

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Course Overview

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.

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Outcomes

  • Get e-Masters 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
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Why Do Participants Choose The e-Masters 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 e-Masters, 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
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Graduation Ceremony At
IIT Kanpur Campus

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Meet Our Faculty Team

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

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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.

Module

e-Masters 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.

  • 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
    • Detailed performance analysis of 4G/ 5G wireless technologies such as OFDM, MIMO, Multi-user MIMO
  • 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
  • Applied Linear Algebra for Wireless Communication
    • Linear Algebra for communication, signal processing, and ML modules
  • Digital Communication Systems
    • 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.
    • The 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.
  • Advanced Probability
    • Advanced tools in probability theory
    • Concentration inequalities, and estimation of RVs
    • Random processes including Markov chains and their applications into linear systems
  • Machine Learning Basics
    • Machine learning (ML) techniques for signal processing applications
    • Applications in digital signal processing
  • Deep Learning for Communication
    • Theory of machine learning and its applications to 5G systems
  • Detection and Estimation Theory
    • Fundamentals of detection and estimation
    • Applications from signal processing and communications
  • Speech and Audio Coding for Communication
    • Automatic speech and audio processing
  • Basics of Convex Optimization
    • Applying and analyzing convex optimization problems in signal processing and wireless communications
  • 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
    • Introduction to networked systems and the Internet
    • Architecture of modern- day networks and the principles of designing reliable networked systems
  • Simulation Techniques for Modern Communication Systems
    • Simulation methodologies in the field of communication with a significant focus on actual implementations
    • Fundamental tools in numerical techniques and their application to communications
  • Foundations of Information Theory and Data Compression
    • Ultimate data rate at which we can reliably communicate over a channel
    • Ultimate data compression that we can achieve
    • Practical compression algorithms
  • Error Control Codes: Theory and Practice
    • Error-correcting codes for applications in communication systems
    • Theory of design of linear block codes and convolutional codes (turbo codes, LDPC codes, and polar codes)
  • MIMO Wireless Communication
    • 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
    • Theory and practice of 5G wireless communication systems
  • Analysis of Wireless Systems
    • Stochastic geometry to model and analyze modern wireless systems used in 4G and 5G 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
Detailed Curriculum
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Immersive Learning Format

Live Interactive Sessions

Online LIVE and self-paced sessions are delivered through AI-powered iPearl.ai as per the faculty availability

Projects

Apply learnings through projects while working in teams and establish a peer network

Online Examination

Final module-level exams will be conducted online

Campus Visit

Opportunity to meet experts and experience the IITK campus during campus visits

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.
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Fees Structure

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

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

DetailsAmount

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.
  • Fee paid are non-refundable and non-transferable

Education loan avail from leading banks and NBFCs

EMI Option available

Frequently Asked Question

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 1ModuleSchedule
Module 1Wireless CommunicationSunday 12:00 noon
Module 2Probability and Random ProcessesSaturday 10:30 am
Module 3Applied Linear Algebra for Wireless CommunicationSaturday 9:00 am

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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 4th by NIRF in the Engineering category, 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

State-of-the-Art Digital Learning Platform

The e-Masters 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.

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