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program overview

Prepare for a Career in M.Tech

This M.Tech programme is intended to generate trained academic and research personnel in the highly demanding, useful and emerging area of wireless communication and networking. The programme includes core subjects from wireless communications, computer science, computer networks, advanced topics in wireless communications, mobile computing, sensor networks, embedded systems, internet-of-things, signal processing, multimedia systems, machine learning, big data analysis, and applications relevant to smart city applications. Building on a very successful joint project called WINSOC with about a dozen international partners, this new M-Tech program was introduced with a view to strengthen the academic and research activities in these highly advanced topics: Wireless Networks and Applications.

Students, when they graduate, will be well trained to enter into a broad spectrum of industries such as computers, communication networks, internet of things, earth sciences, environmental sciences, disaster management, health care, e-governance activities, bio and nano-technologies, VLSI and embedded systems, agriculture and chemical industries and strategic planning.

CurriculumYear-wise Curriculum & Syllabus

Semester 1
Course Code  Type  Course  L Cr 
21WN601  FC  Signal Processing for Wireless Communication 
21MA618  FC  Probability and Statistical Inference 
21WN602  FC  Advanced Computer Networks 
21WN611  SC  Principles of Wireless Communication Systems 
21WN612  SC  Embedded System Design 
21WN603  FC  Advanced Computer Programming 
21HU601  HU  Amrita Values Program* 
21HU602  HU  Career Competency I* 
21WN681  Live-in-Labs-I  
          Credits  18 
Semester 2
Course Code  Course  Cr 
21WN604 Design and Analysis of Algorithms 2 0 1 3
21WN614 Internet of Things: Architecture and System Design 3 0 1 4
Elective I 2 0 1 3
Elective II 2 0 1 3
21WN613 Mobile Communication Networks 2 0 1 3
21RM622 Research Methodology 2 0 0 2
21HU603 Career Competency II 0 0 1 1
21WN682 Live-in-Labs II 0 0 0 0
Credits 19
Semester 3
Course Code  Type  Course  Cr 
E Elective III 2 0 1 3
E Elective IV 2 0 1 3
21WN798 P Dissertation-Phase I 10
21WN781 P Live-in-Labs-III 0 0 0 0
Credits 16
Semester 4
Course Code  Type  Course  Cr 
21WN799 P Dissertation- Phase II 16
21WN782 P Live-in-Labs-IV 0 0 1 1
Credits 17
Total Credits 70
Foundation Core
Course Code  Type  Course  Cr 
21WN601 FC Signal Processing for Wireless Communication 2 0 1 3
21MA618 FC Probability and Statistical Inference 2 0 1 3
21WN602 FC Advanced Computer Networks 3 0 1 4
21WN603 FC Advanced Computer Programming 0 0 1 1
21WN604 FC Design and Analysis of Algorithms 2 0 1 3
Subject Core
Course Code  Type  Course  Cr 
21WN611 SC Principles of Wireless Communication Systems 3 0 1 4
21WN612 SC Embedded System Design 3 0 1 4
21WN613 SC Mobile Communication Networks 2 0 1 3
21RM622 SC Research Methodology 2 0 0 2
21WN614 SC Internet of Things: Architecture and System Design 3 0 1 4
Electives
Course Code  Type  Course  Cr 
Elective I
21WN701 E Advanced Signal Processing 2 0 1 3
21WN702 E Distributed Systems 2 0 1 3
21WN703 E Wireless Local Area Networks 2 0 1 3
21WN704 E Advanced Embedded Systems 2 0 1 3
21WN705 E Antenna Design and Applications 2 0 1 3
21WN706 E Principles of Virtualization and Software Defined Networking 2 0 1 3
Elective II
21WN711 E Machine Learning 2 0 1 3
21WN712 E Coding and Information Theory 2 0 1 3
21WN713 E Open Source Networking 2 0 1 3
21WN714 E Adaptive Signal Processing 2 0 1 3
21WN715 E Distributed Network Algorithms 2 0 1 3
21WN716 E Introduction to Platform Technologies and APIs 2 0 1 3
Elective III
21WN721 E Network and Application Security 2 0 1 3
21WN722 E 5G small Cells 2 0 1 3
21WN723 E Emerging Wireless Communication Technologies 2 0 1 3
21WN724 E Big Data and Applications 2 0 1 3
21WN725 E Introduction to Digital Transformation 2 0 1 3
21WN726 E Edge and Fog Computing 2 0 1 3
21WN727 E Introduction to Blockchain and Distributed Ledger Technology 2 0 1 3
21WN728 E Private Cellular Networks 2 0 1 3
21WN729 E Advanced IoT Protocols 2 0 1 3
Elective IV
21MA701 E Random Processes and Queueing Models 2 0 1 3
21MA702 E Linear Algebra and its Applications 2 0 1 3
21MA703 E Detection and Estimation Theory 2 0 1 3
21MA704 E Computational Optimization 2 0 1 3
21MA705 E Graph Theory and its Applications in Wireless Networks 2 0 1 3
Specialization
Course Code  Type  Course  Cr 
Specialization I: Wireless Communications
21WN701 E Advanced Signal Processing 2 0 1 3
21WN712 E Coding and Information Theory 2 0 1 3
21WN705 E Antenna Design and Applications 2 0 1 3
21WN722 E 5G small Cells 2 0 1 3
21WN728 E Private Cellular Networks 2 0 1 3
21WN723 E Emerging Wireless Communication Technologies 2 0 1 3
21WN714 E Adaptive Signal Processing 2 0 1 3
21MA702 E Linear Algebra and its Applications 2 0 1 3
21MA703 E Detection and Estimation Theory 2 0 1 3
21MA704 E Computational Optimization 2 0 1 3
Specialization II: Mobile Networks
21WN702 E Distributed Systems 2 0 1 3
21WN712 E Coding and Information Theory 2 0 1 3
21WN705 E Antenna Design and Applications 2 0 1 3
21WN715 E Distributed Network Algorithms 2 0 1 3
21WN721 E Network and Application Security 2 0 1 3
21WN722 E 5G small Cells 2 0 1 3
21MA701 E Random Processes and Queueing Models 2 0 1 3
21MA704 E Computational Optimization 2 0 1 3
21MA705 E Graph Theory and its Applications in Wireless 2 0 1 3
Networks
Specialization III: Wireless Systems and Application
21WN702 E Distributed Systems 2 0 1 3
21WN703 E Wireless Local Area Networks 2 0 1 3
21WN704 E Advanced Embedded Systems 2 0 1 3
21WN706 E Principles of Virtualization and Software Defined Networking 2 0 1 3
21WN711 E Machine Learning 2 0 1 3
21WN713 E Open Source Networking 2 0 1 3
21WN715 E Distributed Network Algorithms 2 0 1 3
21WN729 E Advanced IoT Protocols 2 0 1 3
21WN727 E Introduction to Block chain and Distributed Ledger Technology 2 0 1 3
21WN724 E Big Data and Applications 2 0 1 3
21MA701 E Random Processes and Queueing Models 2 0 1 3
21MA704 E Computational Optimization 2 0 1 3
21MA705 E Graph Theory and its Applications in Wireless Networks 2 0 1 3
Project Work
Course Code  Type  Course  Cr 
21WN798 P Dissertation- Phase I 10
21WN799 P Dissertation- Phase II 16
21WN681 P Live-in-Labs-I 0
21WN682 P Live-in-Labs-II 0
21WN781 P Live-in-Labs-III 0
21WN782 P Live-in-Labs-IV 1
Eligibility

Admissions

Duration: Two years

Eligibility Criteria
  • B.Tech. or B.E. in (Applied Electronics and Instrumentation, Computer Engineering, Computer Science and Engineering, Electrical and Electronics Engineering, Electrical Engineering, Electronics and Communication Engineering, Electronics and Instrumentation Engineering, Electronics Engineering, Information Science and Engineering, Information Technology, Robotics Engineering, Software Engineering, Telecommunication Engineering)
  • B.Tech. in (Cloud Computing & Virtualization Technology, Computer and Information Science, Electronics and Media Technology, Electronics and Nanotechnology, Electronics and Telecom Engineering, Information and Communication Technology, Mathematics and Computing, Power Engineering, Power System Engineering, Power Electronics)
  • M.Sc. in (Applications of Mathematics, Applied Mathematics and Computing, Computer Applications, Computer Communication, Computer Science, Computer Technology, Data Mining and Warehousing, Information and Communication Technology, Information Science, Information Security and Cyber Forensics, Information Technology, Information Technology and Management, Instrumentation Technology, Software Engineering, Software System, System Administration & Networking)
  • MCA

Program Overview

Learning Objectives

Students, when they graduate, will be well trained to enter into a broad spectrum of industries such as computers, communication networks, earth sciences, environmental sciences, disaster management, health care, e-governance activities, bio and nano-technologies, VLSI and embedded systems, agriculture and chemical industries and strategic planning.

See Also

Programme Outcomes

Program outcomes are narrower statements that describe what students are expected to know and be able to do by the time of graduation. These relate to the skills, knowledge, and behaviours that students acquire in their matriculation through the program 

  • PO1: Engineering Knowledge 
  • PO2: Problem Analysis 
  • PO3: Design/Development of Solutions 
  • PO4: Conduct Investigations of complex problems 
  • PO5: Modern tools usage 
  • PO6: Engineer and Society 
  • PO7: Environment and Sustainability 
  • PO8: Ethics 
  • PO9: Individual & Team work 
  • PO10: Communication 
  • PO11: Project management & Finance 
  • PO12: Lifelong learning 

PSO-MTech WNA 

  • Gain knowledge on Critical review of research papers & develop technical writing skills 
  • Modern tools usage: Create, select, adapt and apply appropriate techniques, resources, and modern computing tools to complex computing activities, with an understanding of the limitations.  
  • Capability to think Innovatively and creatively in solving real-life challenges 
  • Communication efficacy: Communicate effectively with the research community, and with society at large. 
  • Develop awareness on social challenges and involve actively in providing affordable, sustainable and environment-friendly solutions for rural communities. 
  • Develop skill sets to work in multidisciplinary areas/projects and diverse groups, national and international mission projects.  
  • Research development opportunities by collaborating with international experts and get exposure to state of the art technologies for ready absorption in core industries and research institution 
Thrust Areas in Research
  • Mobile Communication and Networks
  • Internet of Things
  • Machine Learning
  • Wireless Communications
MTech Program Fee 2022 (Per Semester)

Terms and Conditions of Scholarship:

Students must pay the regular semester fees of Rs. 79,500/- at the time of admission.

Facilities and Infrastructure

Wireless Multimedia Lab

Wireless Multimedia Lab

Amrita – Keysight Advanced Wireless Communications Lab

Amrita – Keysight Advanced Wireless Communications Lab

Remote Triggered Lab

Remote Triggered Lab

Embedded Systems Lab

Embedded Systems Lab

Smart Energy Systems Lab

Smart Energy Systems Lab

Landslide Lab

Landslide Lab

Hardware Lab

Hardware Lab

Geotechnical Lab

Geotechnical Lab

Networks Operations Center

Networks Operations Center

Program Coordinator

M.Tech. Wireless Networks & Applications (Specialising in IoT, AI, 5G, Blockchain)
Dr. Rekha Manoj

Admissions PG programs & MTech-Wireless Networks & Applications Program Coordinator

Placements

At Amrita, companies vie with each other to be the early birds for hiring,
thanks to the quality of students, past and present.

250

6.8 LPA

300

5.37 LPA

150

6.67 LPA

56

17.5 LPA

Alumni Testimonial

Tom Toby
(Intern at Nokia, 2020-22 Batch)

My journey with Amrita Wireless Networks and Applications has always been rewarding. I secured my internship due to the well composed multidisciplinary syllabus and a team of knowledgeable and supportive faculty who encouraged me to evolve into a professional.

Video Testimonial

Why Amrita

The top reasons to choose Amrita for your career

601-800th

World University Rankings 2019

141

BRICS Rankings 2020

801–1000th

World University Rankings 2019

168th

BRICS University Rankings 2020

5th

India University Rankings 2022

16th

Overall Rankings 2022
ranking
5th Best
University in India
ranking
Amrita Ranked No.1 in India Top 100 in The World
ranking
Topmost
‘A++’ Grade

Contact Us

If you wish to know more about the course please mail to: mtech@amrita.edu

 

Admissions Apply Now