Final Phase of Admissions Closing on October 3, 2021. Apply Now!
Classes Commencement Date: September 22, 2021
Defence Technology classes start on October 2021
All courses are AICTE approved


GATE Candidates - Eligible for DIRECT Admissions
Non-GATE candidates - Online Interview Process

(NO Entrance exam required this year)



India is becoming a premier Automobile hub of the world, with all the automobile giants having a presence in India. The quality and skills of the automotive engineers being developed needs to be sharpened in order to satisfy the stringent requirements of the Automobile industry. The M.Tech. Programme in Automotive Electronics of the Amrita School of Engineering, is focused on the design of modern electronic hardware systems for automotive applications.

In addition to the core courses (Foundation Core and Subject Core), a rich set of electives are included in the curriculum, to help the students to enhance their knowledge base in the area of automotive electronics. Additionally, most of the courses offered in the curriculum are supported by a standard learning tool (Software/ Hardware) accepted by the scientific community. This learning-by-doing philosophy adds value to the program, so that the students are well prepared to handle the challenges offered by the rapidly changing and evolving automotive industry.

Program Educational Objectives (PEOs)

  • Ability to acquire knowledge and skills in electronics and computation in wider aspects of automotive domain so as to excel in modern industry, academia or research.
  • Ability to comprehend, analyze, design and create novel solutions to problems in the areas of Automotive Electronics that are viable and acceptable technically, economically and socially.
  • To exhibit professional competence and leadership qualities with a harmonious blend of ethics leading to an integrated personality development.


Programme Outcomes

PO1: An ability to independently carry out research/investigation and development work to solve practical problems.

PO2: An ability to write and present a substantial technical report/document.

PO3: Students should be able to demonstrate a degree of mastery over the area as per the specialization of the program. The mastery should be at a level higher than the requirements in the appropriate bachelor program.

PO4: An ability to work in a team to take up the challenges in the field of vehicular communication, advanced driver assistance systems and vehicle electrification, giving due consideration to societal, environmental, economic and financial factors.

PO5: An ability to maintain lifelong learning and research by way of participating in professional activities with a high level of commitment.

Employment Prospects

Since the beginning of the program, all students admitted to the program have been employees sponsored by TCS who return to the parent company on completion of the course. Non TCS-sponsored candidates are well equipped to be recruited by OEMs such as Robert-Bosch, Continental and other leading automotive industries.

Research Areas

Faculty members and students have taken up research issues of contemporary relevance and have good publications in highly reputed journals.

Thrust Areas of Research

  • Advanced Driver Assistance
  • Vehicular Communication and Security
  • Electrification and EV's
  • Embedded System for Automotive


Selected Projects

  • Raseelul Mahboob P. (2018-20), An Intelligent EV charging infrastructure for a smart campus utilizing renewable energy resources.
  • Pratyay Maity (2018-20), Fuzzy enabled direct torque control for low torque ripple in induction motors for EV applications.
  • Keerthe eswaran M. P. (2018-20), Ground plane segmentation and vehicle identification using automotive LIDAR&deep learning.
  • Pradeep kumar V. (2018-20), Design of criticality-aware scheduling for automotive ECUs.
  • Amara Dinesh Kumar (2017-19), Stereo-camera and LIDARsensor fusion based collision-warning system.
  • Avishek Chatterjee (2017-19), Design of control system for autonomous harvesterbased on navigation inputs.
  • Mrinalini Patil (2017-19), Driver emotion recognition for enhancement of Human-Machine Interface in vehicles.
  • Anuja Vats (2016-18), An improved driver assistance system for lane detection and departure warning.
  • Deexa Vashishtha (2016-18), Cooperative path prediction using maximum-likelihood multiple model filtering.
  • Pravin Kokane (2016-18), Suspension faults detection using vibration measurements and machine learning.
  • Manjunath P. K. (2015-17), Time-domain analysis of crankshaft acyclism formisfire detection in multi-cylinder IC engines.
  • Priyanjali Yadav (2015-17), Adaptive key generation for secure vehicular communication by exploiting channel randomness.
  • Renjith R. (2015-17), Power quality enhancement in Plug-In Hybrid ElectricVehicle (PHEV) systems.
  • Rahul Joshi (2015-17), Matrix Converter based Bidirectional AC-DC converter for Vehicle-to-Grid(V2G) system.

Example Projects

Driver attention and fatigue detection (by Swapnil M, AEL 2016-18)


Design and Development of Autonomous Onion Harvester (Avishek Chatterjee, Rishish Kumar Naik, SaurabhSinalkar and Harish T, AEL 2017-19)

Ground plane segmentation and vehicle identification using automotive LIDAR& deep learning (Keerthiswaran MP, AEL 2018-20)

Amrita-TCS Vehicular Electronics Lab

Well Furnished Lab (Projector and Video Conference facility) equipped with 25 Desktop computers and Individual MATLAB Licenses forM.Tech Automotive Electronics students.

Software Tools available : MATLAB 2020a, CARSIM , CANoe, dSPACE Control Desk

Hardware Tools available: Micro Auto Box-2, Raspberry Pi Model 3B+, Arducam 5MP Cam, ZED Stereo Camera, Arduino Uno, Arduino Mega, Lidar Lyte, RPLIDAR 360°, Induction Motor, 9 DOF - Razor IMU, Leddar M16 - Multi-Element Sensor Module, Leddar Sensor Evaluation Kit , NVIDIA Jetson TX1 Development Kit , Velodyne PUCK LIDAR.


Semester I
Course Code Type Course L–T–P Cr
19MA606 FC Mathematical Methods for Automotive Electronics 3–0–3 4
19AL601 FC Automotive Embedded Systems 3–0–3 4
19AL602 FC Digital Control Systems 3–0–0 3
19AL611 SC Principles of Automotive Systems 3–0–0 3
19AL612 SC Automotive Grade Processors 3–0–3 4
19AL613 SC Electric Vehicles and Architectures 3–0-0 3
19AL615 SC Automotive Laboratory-I 0-0-3 1
19HU601 HU Amrita Values Program* P/F  
19HU602 HU Career Competency I* P/F  
Credits 22      
* Non-credit course
Semester II
Course Code Type Course L–T–P Cr
19AL614 SC Vehicle Dynamics & Control 3-0-3 4
19AL603 FC Computational Intelligence for Automotive Systems 3-0-3 4
19AL604 FC RTOS in Multi-core Environment 3-0-3 4
  E Elective-I 3-0-0 3
  E Elective- II 3-0-0 3
  E Elective- III 3-0-0 3
19AL616 SC Automotive Laboratory-II 0–0–3 1
19RM600 SC Research Methodology 2-0-0 2
Credits 24

Semester III
Course Code Type Course L–T–P Cr
19AL798 P Dissertation   10
Credits 10      
Semester IV
Course Code Type Course L–T–P Cr
19AL799 P Dissertation   10
Credits 10
TOTAL CREDITS (22+25+10+10) 66
L- Lecture; T-Tutorial; P-Practical
FC- Foundation Core; SC- Subject Core; E-Electives; P- Dissertation; P/F-Pass/Fail
Course Code Course L–T–P Cr
19AL701 Vehicular Communication 3–0–0 3
19AL702 Vehicular Networks 3–0–0 3
19AL703 Cryptography and Network Security 3-0-0 3
19AL704 Power Converters for Automotive Applications 2–0–3 3
19AL705 Electrical Machines for Automotive Applications 3–0–0 3
19AL706 Control of Power Converters and Electrical Machines 3–0–0 3
19AL707 Automotive Radar 3–0–0 3
19AL708 Sensing for Autonomous Vehicles 3–0–0 3
19AL709 Multi Sensor Data Fusion 3–0–0 3
19AL710 Deep Learning for automotive systems 3–0–0 3

Alumni Testimonial

"I joined this course without any experience in the automotive domain. This program helped me in understanding the automotive domain, starting from communication protocol to powertrain, EV architecture, RTOS processor design etc. It has helped me in understanding the customer requirement and helping them with an optimized solution."

Mr. Hriday Ranjan, M. Tech. AEL


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