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

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
18WN601	FC	Signal Processing for Wireless Communication	2	0	1	3
18MA614	FC	Probability and Statistical Inference	2	0	1	3
18WN602	FC	Advanced Computer Networks	2	0	1	3
18WN621	SC	Principles of Wireless Communication Systems	3	0	1	4
18WN622	SC	Embedded System Design	3	0	1	4
18WN603	FC	Advanced Computer Programming	0	0	1	1
18HU601	HU	Amrita Values Program*	0	0	0	0
18HU602	HU	Career Competency I*	0	0	0	0
18WN794	P	Live-in-Labs-I	0	0	0	0
Credits						18

Semester 2

Course Code	Type	Course	L	T	P	Cr
18WN604	FC	Design and Analysis of Algorithms	2	0	1	3
18WN623	SC	Design of Wireless Sensor Networks	2	0	1	3
*	E	Elective I	2	0	1	3
*	E	Elective II	2	0	1	3
18WN624	SC	Mobile Communication Networks	2	0	1	3
18RM602	SC	Research Methodology	0	0	2	2
18WN625	SC	Introduction to IoT Programming	0	0	1	1
18HU603	HU	Career Competency II	0	0	1	1
18WN795	P	Live-in-Labs-II	0	0	0	0
Credits						19

Semester 3

Course Code	Type	Course	L	T	P	Cr
18WN626	SC	Internet of Things: Architecture and System Design	2	0	1	3
*	E	Elective III	2	0	1	3
*	E	Elective IV	2	0	1	3
18WN798	P	Dissertation I	*	*	*	6
18WN796	P	Live-in-Labs-III	0	0	0	0
Credits						15

Semester 4

Course Code	Type	Course	L	T	P	Cr
18WN799	P	Dissertation	*	*	*	14
18WN797	P	Live-in-Labs-IV	0	0	1	1
Credits						15
Total Credits						67

Foundation Core

Course Code	Type	Course	L	P	Cr
18WN601	FC	Signal Processing for Wireless Communication	2	1	3
18MA614	FC	Probability and Statistical Inference	2	1	3
18WN602	FC	Advanced Computer Networks	3	1	4
18WN603	FC	Advanced Computer Programming	0	1	1
18WN604	FC	Design and Analysis of Algorithms	2	1	3

Subject Core

Course Code	Type	Course	L	P	Cr
18WN621	SC	Principles of Wireless Communication Systems	*	1	4
18WN622	SC	Embedded System Design	3	1	4
18WN623	SC	Design of Wireless Sensor Networks	2	1	3
18WN624	SC	Mobile Communication Networks	2	1	3
18WN602	SC	Research Methodology	0	2	2
18WN625	SC	Introduction to IoT Programming	0	1	1
18WN626	SC	Internet of Things: Architecture and System Design	2	1	3

Electives

Elective I
Course Code	Type	Course	L	T	P	Cr
18WN701	E	Advanced Signal Processing	2	0	1	3
18WN702	E	Distributed Systems	2	0	1	3
18WN703	E	Wireless Local Area Networks	2	0	1	3
18WN704	E	Advanced Embedded Systems	3	0	0	3
18WN705	E	Antenna Design and Applications	3	0	0	3
18WN706	E	Principles of Virtualization and Software Defined Networking	3	0	0	3
		Elective II
18WN707	E	Machine Learning	2	0	1	3
18WN708	E	Coding and Information Theory	2	0	1	3
18WN709	E	Open Source Networking	2	0	1	3
18WN710	E	Adaptive Signal Processing	2	0	1	3
18WN711	E	Distributed Network Algorithms	2	0	1	3
18WN712	E	Introduction to Platform Technologies and APIs	2	0	1	3
		Elective III
18WN713	E	Network and Application Security	2	0	1	3
18WN714	E	5G small Cells	2	0	1	3
18WN715	E	Emerging Wireless Communication Technologies	2	0	1	3
18WN716	E	Big Data and Applications	2	0	1	3
18WN717	E	Introduction to Digital Transformation	2	0	1	3
18WN718	E	Edge and Fog Computing	2	0	1	3
		Elective IV
18MA704	E	Random Processes and Queueing Models	2	0	1	3
18MA705	E	Linear Algebra and its Applications	2	0	1	3
18WN719	E	Detection and Estimation Theory	2	0	1	3
18MA706	E	Computational Optimization	2	0	1	3
18MA707	E	Graph Theory and its Applications in Wireless Network	2	0	1	3

Specialization

Course Code	Type	Course	L	T	P	Cr
Specialization I: Wireless Communications
18WN701	E	Advanced Signal Processing	2	0	1	3
18WN708	E	Coding and Information Theory	2	0	1	3
18WN705	E	Antenna Design and Applications	2	0	1	3
18WN714	E	5G small Cells	2	0	1	3
18WN715	E	Emerging Wireless Communication Technologies	2	0	1	3
18WN710	E	Adaptive Signal Processing	2	0	1	3
18WN719	E	Detection and Estimation Theory	2	0	1	3
18MA706	E	Computational Optimization	2	0	1	3
18MA705	E	Linear Algebra and its Applications	2	0	1	3

Course Code	Type	Course	L	T	P	Cr
Specialization II: Mobile Networks
18WN702	E	Distributed Systems	2	0	1	3
18WN708	E	Coding and Information Theory	2	0	1	3
18WN705	E	Antenna Design and Applications	2	0	1	3
18WN711	E	Distributed Network Algorithms	2	0	1	3
18WN713	E	Network and Application Security	2	0	1	3
18WN714	E	5G small Cells	2	0	1	3
18MA704	E	Random Processes and Queueing Models	2	0	1	3
18MA706	E	Computational Optimization	2	0	1	3
18MA707	E	Graph Theory and its Applications in Wireless Networks	2	0	1	3
Specialization III: Wireless Systems and Application
18WN702	E	Distributed Systems	3	0	0	3
18WN703	E	Wireless Local Area Networks	3	0	0	3
18WN704	E	Advanced Embedded Systems	3	0	0	3
18WN706	E	Principles of Virtualization and Software Defined Networking	2	0	1	3
18WN707	E	Machine Learning	2	0	1	3
18WN709	E	Open Source Networking	2	0	1	3
18WN711	E	Distributed Network Algorithms	2	0	1	3
18WN716	E	Big Data and Applications	2	0	1	3
18MA704	E	Random Processes and Queueing Models	2	0	1	3
18MA706	E	Computational Optimization	2	0	1	3
18MA707	E	Graph Theory and its Applications in Wireless Networks	2	0	1	3

Project Work

Course Code	Type	Course	L	T	P	Cr
18WN798	P	Dissertation I	*	*	*	6
18WN799	P	Dissertation Final	*	*	*	14
18WN794	P	Live-in-Labs-I	*	*	*	0
18WN795	P	Live-in-Labs-II	*	*	*	0
18WN796	P	Live-in-Labs-III	*	*	*	0
18WN797	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

Thrust Areas in Research

Mobile Communication and Networks
Internet of Things
Machine Learning
Wireless Communications

Year-wise Curriculum & Syllabus

Curriculum 2018

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.