M.Tech. Automotive Electronics

M.Tech. Automotive Electronics is a four-semester Work Integrated Learning Programme designed for engineering professionals working in automotive, auto component, design, manufacturing and allied industries and aims to develop skills required to build and sustain future automobiles.

The programme enables the engineering professionals working in manufacturing, design, analysis, support and allied areas in automotive-related fields to gain knowledge and expertise in Autotronics, ADAS, Embedded System Design, Automotive Networking, Control, and Communication Systems to help in designing, building, testing and sustaining future automotive systems using digital technologies.

Admissions are currently open. Last date to apply is extended to October 21, 2019. For the detailed programme information download the brochure below.

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  • Programme Highlights
  • Programme Curriculum
  • Programme Objective
  • Learning Methodology
  • Eligibility Criteria
  • Fee Structure
  • How to Apply
Programme Highlights
  1. The programme is of four semesters, with face to face weekend classes in Chennai conducted by BITS Pilani faculty members and experienced industry professionals.

  2. The programme has been designed for engineering professionals employed in industries such as Automotive, Auto component, Design, Manufacturing, etc., and working in functional areas such R&D, Analysis, Maintenance, Projects, component design, etc.

  3. The programme has a special emphasis on concepts such as Autotronics, ADAS, Embedded System Design, Automotive Networking, Control and Communication Systems, Automotive Security and Electric and Hybrid Vehicles.

  4. The programme includes Virtual Simulation and Remote Labs using Ricardo, MATLAB, Automotive remote lab, ADAS remote lab.

  5. Futuristic curriculum developed, engaging industry experts, multinational companies in the automotive domain and benchmarking with international universities.

  6. Chosen faculties with a blend of industrial and academic expertise.

  7. Classroom technologies to engage participants during synchronous lectures.

  8. Digital contents with student notes delivered through an engaging digital platform that supports mobile learning.

Programme Curriculum

First Semester

  • Automotive Vehicles

  • Autotronics

  • Embedded System Design

  • Automotive Control Systems

Second Semester

  • Advanced Driver Assistance Systems

  • Automotive Communication Systems

  • Automotive Networking

  • Automotive Systems Engineering

Third Semester

  • Connected Cars 

  • Electric and Hybrid Vehicles 

  • Automotive Security 

  • Automotive Diagnostics and Interfaces 

Fourth Semester

  • Dissertation

Detailed Course Curriculum

Automotive Vehicles

  • Internal combustion engines; vehicle performance; analysis and design of vehicle components. Experimental or theoretical investigation of problems selected from the field of automotive vehicles

Advanced Driver Assistance Systems

  • Automotive safety systems, assist and autonomous systems, automotive sensors and actuators for ADAS (stereo and mono cameras ultrasonic sensors, LIDAR, RADAR), fundamentals of machine vision, data fusion for ADAS, mechatronics for ADAS, human-machine interface for ADAS, telematics and infotainment, ADAS system, legal and ethical aspects of ADAS, real-time systems and development, advanced driver assistance systems, advanced computer systems, automated driving applications and systems

Connected Cars

  • Fundamentals of IoT - Architecture, Sensors, Cloud and the trade-off between polling and storage requirements, Structure and implementation of CAN networks, CAN message, priority & arbitration and the control hardware involved in the network, data analytics by creating a simple data model using OBD tools, ethical and legal aspects of connected car applications including data theft, privacy and security vulnerabilities, building of predictive analytic model based on in-vehicle data

Automotive Control Systems

  • Introduction to vehicle electronics, semiconductor diodes, FETs, rectifiers, small signal amplifiers, circuit models, automotive applications and case studies, automotive microcontrollers, auto sensors and actuators, vehicle electronics, feedback control, control strategy, analog and digital controllers, expert systems and neural networks, advanced topics in EMC, vehicle communication networks, automotive control system design, transmission and powertrain, brake, traction, suspension, active safety and supplementary restraint systems, intelligent vehicle systems and ADAS

Embedded System Design

  • Introduction to embedded systems; embedded architectures: Architectures and programming of microcontrollers and DSPs. Embedded applications and technologies; power issues in system design; introduction to software and hardware co-design

Automotive Communication Systems

  • Introduction to communication engineering; automotive communication systems: basic, current and future generation automotive communication protocols and telematics, advanced communication, intersystem communication and multiplex systems, wireless and photonics systems engineering, communications and networking, signal propagation in a mobile environment, modulation, coding, equalization, multiple access techniques, spread spectrum systems, second and third-generation systems, UMTS, IMT-2000; Intra Vehicular Buses - CAN, TTCAN, FTTCAN, RT and FT Ethernet, TTP/A, TTP/C, Flexray, LIN, MOST; Clock Synchronization and Diagnostic Services in Intra Vehicular Buses

Automotive Systems Engineering

  • Automotive systems development and testing, compatibility issues, performance prediction, design requirements, and engineering metrics, systems engineering process, life cycle standards and management, concurrent engineering, systems analysis applications, and advanced model-based development

Electric and Hybrid vehicles

  • Electric motors, drives, control, batteries, architectures, energy storage, recovery, and management, characteristics of autonomous vehicles, modelling, simulation, analysis and comparison of relations among multiple parameters for electric, hybrid and autonomous vehicles, insights into regulations and norms with respect to electric, hybrid and autonomous vehicles, hybrid vehicle propulsion systems, sustainable automotive power technology

Automotive Security

  • Security concepts, security attacks and risks, architectures, policy management, mechanisms, understanding the risks and advantages of vehicle to internet (V2I), vehicle to vehicle (V2V), vehicle to IoT (V2IoT) connectivity, issues concerning the security of intelligent transport systems that communicate with the vehicle, telematics, cryptography, security standards, security system interoperation and case studies of the automotive security systems and connectivity technologies, automotive cybersecurity and autonomous vehicles, connected vehicle driver responsibility, issues around liabilities related to automotive cybersecurity incidents


  • Fundamentals of automotive EMC, control concepts, control design with the help of sensors and signal conditioning. Understanding of autotronics and vehicle intelligence, sensor technologies, intelligent systems, and mechatronic modeling. Introduction, electricity and electronics fundamentals, sensors, sensor types, signal conditioning, system modeling, dynamic response of systems, feedback/closed-loop controllers, electronic fuel control systems, actuators: fuel injectors, exhaust gas recirculation, motors and ignition systems, hydraulics

Automotive Networking

  • Overview of TCP/IP systems, Disturbed and Networked Embedded systems, Embedded Internet, Real-Time Networks and Fault-Tolerant Networks – Issues and Design, Intelligent Transport Systems and IoT for Automotive Systems; Fault and Error Containment, Intra and Interworking in Vehicular Systems: Intra Vehicular Buses - an overview, Time-Triggered and Event-Triggered Networks in Intra Vehicular Systems, Automotive Network Domains – Power Train, Chassis, Body Domains – Network Characteristics and Domain Requirements, V2I/V2R, V2V , VANETS - MANETS vs VANETS, Safety Applications vs Comfort Applications of VANETS, Network Architecture, Protocols, Network Stack, MAC protocols, IEEE Wave and DSRC, Routing Protocols, Network Security – Attacks and Solutions. Emerging and advanced automotive networks – Aerial Networks; Interconnection between various networks in ITS – Interconnection between Intra and Inter Vehicular Systems, Network Models in Automotive Systems – Publisher Subscriber Model, Producer-Consumer Models, Device Interoperability Issues in Interconnected Vehicles, Middleware in Automotive Systems, Network Management Function, Objects and Device Management - AutoSar and Networked OS; Protocol-independent design methodology for distributed real-time networks in vehicles – Volcano

Automotive Diagnostics and Interfaces

  • Sensors used in today's vehicles, such as temperature, pressure, position, distance, velocity, torque and flow; Designing and building analog interfaces, regulation, and control problem with reference to power electronic converters; converter models for feedback: basic converter dynamics, fast switching, piece-wise linear models, discrete-time models, Onboard diagnostics II (OBD II); Voltage mode and current mode controls for DC-DC converters, comparator based control for rectifier systems, proportional and proportional-integral control applications; Control design based on linearization: transfer functions, compensation and filtering, compensated feedback control systems; Hysteresis control basics, and application to DC-DC converters and inverters; Automotive diagnostics, electronic interfaces, sensors and interfacing, introduction to microsystems packaging, microcomputer control systems, reliability, diagnostics, and testing of vehicles


  • A student registered in this course must take a topic in an area of professional interest drawn from the on-the-job work requirement, which is simultaneously of direct relevance to the degree pursued by the student as well as to the employing / collaborating organization of the student and submit a comprehensive report at the end of the semester working under the overall supervision and guidance of a professional expert who will be deemed as the supervisor for evaluation of all components of the dissertation

  • Normally the Mentor of the student would be the Dissertation supervisor and in case, Mentor is not approved as the supervisor, Mentor may play the role of additional supervisor. The final grades for the dissertation are Non-letter grades namely Excellent, Good, Fair and Poor, which do not go into CGPA computation

In a rare circumstance, a course may be offered in a live online lecture mode at the discretion of BITS Pilani.

Learning Methodology


The programme provides the flexibility to learn online and interact with your faculty face-to-face for best-in-class learning sessions conducted at Chennai. Classes for students admitted will begin in November 2019. The class schedule is announced within 1 week of completion of the admission process.


Learners gain access to various digital learning contents such as lecture videos, student notes, curated contents, etc., through a learning management platform that is engaging and mobile-friendly.


The learners’ performance is assessed continuously throughout the semester using various tools such as quizzes, assignments, mid-semester and comprehensive exams. The assessment results are shared with the learners to improve their performance.

Experiential Learning (Labs and Equipment)

The programme emphasizes on Experiential Learning that allows learners to apply concepts learned in the classroom to simulated and real work situations.

Control System Development

  • Model-based generation from inside Simulink environment

  • A2L file definitions

  • Configurable pin allocations, timers and interrupts

  • Control strategies for basic EV and HEV vehicle applications

  • FMU Compliant design for use in HIL setup

  • Supports CAN and OTA programming

  • Suitable for SI Engine Control, Electric, and Hybrid Vehicle control applications

  • OBD-II support

HIL Test Rig

  • Non-Real time HIL Test Rig

  • Capable of running FMU compatible plant models

  • Interfaces with standard vehicle controllers

  • CAN and Ethernet compatible

Capable of running on real-time HIL tests virtually on cloud servers using FMU compatible models.

ADAS Test Rig

  • Brake By Wire Test Rig – Using a single Master cylinder and fail-safe mode operation using conventional brake levers

  • Steer By Wire Test Rig – Uses Electronic Power Steering setup with “By Wire” input from Logitech G29 steering wheel

  • Driving cockpit interfaces with test rigs over CAN network and controlled by a slave VCU

Electric Vehicle Demonstration Platform

  • EV powertrain demonstration platform comprising of AC motor, Motor Controller, Li-Ion battery pack and gearbox

  • Open source vehicle platform offering flexible seating positions and body configurations

Drive-by Wire and Autonomous Level 1 enabled

Case Studies and Assignments Carefully chosen real-world cases & assignments are both discussed and used as problem-solving exercises during the programme.

Eligibility Criteria

Applicants must be employed professionals working in Engineering organizations, and holding B.E./ B.Tech. or equivalent in domains such as Automotive/ EEE /ECE/ Instrumentation/ Mechatronics/ Mechanical with at least 60% aggregate marks. A minimum of 1 year of work experience in relevant domains is required to apply.

Who Should Apply?

The programme is designed for engineering professionals holding BE/ B.Tech or equivalent in domains such as Automotive, Mechanical, EEE, ECE, Instrumentation, Mechatronics and working in:

  • Industries such as Automotive, Auto component, Design, Manufacturing, etc.

  • Functional areas such as R&D, Analysis, Maintenance, Projects, component design etc.

Fee Structure
  • The following fees schedule is applicable for candidates seeking new admission during the academic year 2019-20

    Application Fees (one time) : INR 1,500

    Admission Fees (one time) : INR 16,500

    Semester Fees (per semester) : INR 55,000

  • The one-time Application Fee is to be paid at the time of submitting the Application Form through the Online Application Centre.

  • Admission Fee (one-time) and Semester Fee (for the First Semester) are to be paid together once admission is offered to the candidate. Thus, a candidate who has been offered admission will have to pay Rs. 71,500/-. You may choose to make the payment using Netbanking/ Debit Card/ Credit Card through the Online Application Centre. Fee payment by easy-EMIs is now available. Click here to learn more

  • Semester Fee for subsequent semesters will only be payable later, i.e. at the beginning of those respective semesters.

  • Any candidate who desires to discontinue from the programme after confirmation of admission & registration for the courses specified in the admit offer letter will forfeit the total amount of fees paid.

  •  All the above fees are non-refundable.

How to Apply
  • Click here to register yourself on the BITS Pilani Online Application Center. Create your login at the Application Center by entering your unique Email id and create a password of your choice. Once your login has been created, you can anytime access the online Application Center using your email id and password.

  • Once you have logged in, you will see a screen showing 4 essential steps to be completed to apply for the programme of your choice

  • Begin by clicking on Step 1 - ‘Fill/ Edit and Submit Application Form’. This will enable you to select the programme of your choice. After you have chosen your programme, you will be asked to fill your details in an online form. You must fill all the details and press the ‘Submit’ button given at the bottom of the form

  • Take the next step by clicking on Step 2 - 'Download Application PDF Copy’. This will download a pdf copy of the application form on your computer Now, click on Step 3 - 'Pay Application Fee’ to pay INR 1,500/- using Net banking/ Debit Card/ Credit Card

  • Take a printout of the downloaded Application Form and note down the Application Form Number that appears on the top-right corner of the first page. This Application Form Number should be referred in all future correspondence with BITS Pilani

  • In the printout of the downloaded Application Form, you will notice on page no. 3 a section called the Employer Consent Form. Complete the Employer Consent Form. This form needs to be signed and stamped by your organization’s HR or any other authorized signatory of the company

  • Further on page no. 4 of the printed Application Form is a section called the Mentor Consent Form. The Mentor Consent Form needs to be signed by the Mentor. Click here to know who could be a Mentor

  • Further on page no. 5 of the downloaded Application Form, is a Checklist of Enclosures/ Attachments

    • Make photocopies of the documents mentioned in this Checklist

    • Applicants are required to self-attest all academic mark sheets and certificates

  • Finally, click on Step 4 - 'Upload & Submit All Required Documents’. This will allow you to upload one-by-one the printed Application Form, Mentor Consent Form, Employer Consent Form, and all mandatory supporting documents and complete the application process. Acceptable file formats for uploading these documents are .DOC, .DOCX, .PDF, .ZIP and .JPEG

  • Upon receipt of your Application Form and all other enclosures, the Admissions Cell will scrutinise them for completeness, accuracy, and eligibility

  • Admission Cell will intimate selected candidates by email within two weeks of submission of application with all supporting documents. The selection status can also be checked by logging in to the Online Application Centre

Note: It is also possible that some candidates may receive a link to take an Online Learning Readiness Evaluation from the Admission Cell, after filling up the Online Application Form. This is a one-hour objective-type exercise which will ascertain minimum mathematical and programming acumen needed to pursue the programme. You will be given typically 48-hours to complete this online evaluation.

A sample model paper will also be provided to help you understand the format of Online Learning Readiness Evaluation. After the Online Learning Readiness Evaluation is completed, the Admission Cell will intimate selected candidates by email within one week.

Programme Objective

Programme Objective

M. Tech in Automotive Electronics is designed for engineers working in the automotive, automotive component, design, and electronics manufacturing industries who wish to prepare themselves for the future automotive electronics industry. The programme tends to equip professionals with multidisciplinary expertise in electronics, embedded systems, networks and cybersecurity in addition to automotive engineering.

Learning Outcomes

At the end of the programme, the students will be able to:

  • Design and develop mechatronic systems to control vehicle performance

  • Analyze, select and implement suitable mobile technologies for Intra & Inter vehicle communication

  • Plan the architecture and design efficient system-on-chips for automotive applications

  • Analyze factors influencing ride comfort using vehicle dynamics principles

  • Design and develop diagnostics and control units for dynamic feedback