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

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 Semester 2 Semester 3 Semester 4 Foundation Core Subject Core Electives Specialization Project Work

Semester 1

Course Code	Type	Course	L	T	P	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	2	0	1	3
21WN611	SC	Principles of Wireless Communication Systems	3	0	1	4
21WN612	SC	Embedded System Design	3	0	1	4
21WN603	FC	Advanced Computer Programming	0	0	1	1
21HU601	HU	Amrita Values Program*	0	0	0	0
21HU602	HU	Career Competency I*	0	0	0	0
21WN681	P	Live-in-Labs-I	0	0	0	0
					Credits	18

Semester 2

Course Code	Course	L	T	P	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	L	T	P	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	L	T	P	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	L	T	P	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	L	T	P	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	L	T	P	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	L	T	P	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

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

About Amrita WNA

Amrita WNA Facility

Amrita WNA Faculty

Amrita WNA Alumni

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

Year-wise Curriculum & Syllabus

Curriculum

Scholarship

Terms and Conditions of Scholarship:

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

Slab 1 -Students must have secured a CGPA of 8.0 or above in their B Tech course to be considered for this scholarship slab.
Scholarship will be paid monthly @ Rs.5,000 per month for 5 months in a semester. Students will need to pay the full amount of semester fees up front.
From Semester 2 onwards, the scholarship will be based on their M Tech CGPA in the previous semesters.
If the CGPA is between 7.0 and 8.0 for slab 1 students, the scholarship amount will be decreased accordingly going forward.
If the CGPA falls below 7.0 or if there are any arrears, the scholarship will be discontinued.

Slab 2 -Students must have secured a CGPA of 7.0 or above in their B Tech course to be considered for this scholarship slab.
Scholarship will be paid monthly @ Rs.2, 500 per month for 5 months in a semester. Students will need to pay the full amount of semester fees up front.
From Semester 2 onwards, the scholarship will be based on their M Tech CGPA in the previous semesters.
If the CGPA rises to 8.0 or above, the scholarship amount will be increased to slab 1 level.
If the CGPA falls below 7.0 or if there are any arrears, the scholarship will be discontinued.