Re-shape how the world will travel in the future

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 who aim 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.


Programme Highlights

  1. Industry-relevant curriculum, delivered online or on-site lectures.
  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. The Dissertation (Project Work) in the final semester enables students to apply concepts and techniques learnt during the programme.
  6. The programme uses a Continuous Evaluation System that assesses the learners over convenient and regular intervals. Such a system provides timely and frequent feedback and helps busy working professionals stay on course with the programme.
  7. The education delivery methodology is a blend of classroom and experiential learning. Experiential learning consists of lab exercises, assignments, case studies and work-integrated activities.
  8. Participants who successfully complete the programme will become members of an elite & global community of BITS Pilani Alumni.

Programme Curriculum

Participants need to take at least 12 courses towards coursework, and complete one Project/ Dissertation. The coursework requirement for the programme would consist of a set of core courses and electives. Core courses are compulsory for all participants, while electives can be chosen based on individual learning preferences.

The programme offers a degree of customisation to address the specific L&D needs of your organisations.

  • Automotive Vehicles
  • Autotronics
  • Embedded Systems Design
  • Automotive Communication Systems
  • Advanced Driver Assistance Systems
  • Automotive Control Systems
  • Automotive Networking
  • Elective 1
  • Elective 2
  • Elective 3
  • Elective 4
  • Elective 5


  • Connected Cars
  • Automotive Systems Engineering
  • Electric & Hybrid Vehicles
  • Automotive Security
  • Automotive Diagnostics & Interfaces
  • Product Design
  • Safety Critical Advanced Automotive Systems
  • Robust and Intelligent Systems Design

For more information on programme curriculum download the programme brochure.

Choice of Electives is made available to enrolled students at the beginning of each semester. A limited selection of Electives will be offered at the discretion of the Institute.

Learning Methodology


Lectures are delivered by BITS Pilani faculty members through live via online classes, or at the organisation's premises, and are designed to offer similar levels of interactivity as regular classrooms at the BITS Pilani campus.


Learners can access engaging learning material at their own pace which includes recorded lectures from BITS Pilani faculty members, course handouts and recorded lab content where applicable.


Continuous Assessment includes graded Assignments/ Quizzes, Mid-semester exam, and Comprehensive Exam.


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.
  • Dissertation/ Project Work: The fourth semester offers an opportunity for learners to apply their knowledge gained during the programme to a real-world like complex project. The learner is expected to demonstrate understanding of vital principles learnt across semesters and their ability to successfully apply these concepts.

Online Labs & Remote Labs


The Virtual Lab is a cloud based simulation space, where participants can design, develop and test solutions for industry scale problems. The lab hosts a range of popular software tools that can simulate the complete spectrum of engineering processes to the accuracy and precision of real-life. The lab is open 24x7, 365 days with a live support.

Participants of M.Tech. Automotive Electronics can access the following Virtual Labs:

Electric & Hybrid Vehicles Virtual Lab
This lab uses Ricardo Ignite and Matlab Simulink software tools. Ignite has built-in powertrain library from provides complete vehicle system modelling of conventional, hybrid, electric and novel vehicle architectures. This lab also delivers adjustable component fidelity for vehicle modelling – from initial concept to detailed powertrain integration. Participants can perform experiments such as Vehicle Modelling for IC engines, Vehicle Modelling of pure electric vehicle for MPGe.

Virtual Lab using Matlab
MATLAB (matrix laboratory) is a multi-paradigm numerical computing environment and proprietary programming language. Matlab is used for computer programming, mathematical modelling such as geometry, dynamics & robotics, and MIL simulations. Participants can perform experiments such as Computer programming experiments, Design the points, curves and surfaces and validate mathematically using curve fitting toolbox.


Through the Remote lab, participants can perform controlled experiments from anywhere in the world. The IoT enabled lab equipments and the integrated remote access network makes this possible. The lab is open 24x7, 365 days. Remote Lab is one more attempt by the work integrated learning programs division of BITS Pilani to bring the campus learning experience to the working professionals complementing their work-life-learning balance.

Participants of M.Tech. Automotive Electronics can access the following Remote Labs:

Steer-by-wire Test rig
Steer-by-wire test rig comprises of a Master and Slave steering wheel setup that is controlled using MATLAB-Simulink environment via CAN communication. The actuators are controlled by Arduino microcontrollers in a closed-loop system based on sensor measurements. Participants can perform experiments such as Develop a control strategy for steering for autonomous driving taking inputs from CAN messages, Implement a PI controller to minimise the error and achieve target using a closed loop system.

Brake-by-wire Test rig
Brake-by-wire test rig comprises of a single wheel controlled by a motor to simulate the braking system in hard braking conditions. It comprises of a Master and Slave steering wheel setup that is controlled using MATLAB-Simulink environment via CAN communication. Participants can perform experiments such as Develop a control strategy for applying brakes using desired slip ratio for different road-tyre slip conditions.

Hardware-in-loop Rig
Hardware-in-loop test rig comprises of a Data Acquisition for I/O signal communication to enable testing of real-time hardware components integrated with the associated plant model running in a virtual real-time MATLAB environment. Participants can perform experiments such as Tune the automotive engine controller using the mapped engine model, Design and develop a controller for the EV & HEV.

Electronic Throttle Body Test Rig
This equipment explains the strategy to get the desired throttle valve position and valve opening rate in modern electronic throttle body. The control strategy is made in Matlab Simulink with respective algorithms. Participants can perform experiments such as Building electronic throttle body control system.

Automatic Gear Box Test Rig
This test rig focuses on building a complex strategy that can operate a gearbox under any conditions such as steep gradients, excess speed & load and so on. Participants can perform experiments such as Develop control strategies for automatic gear box, Develop control strategy for Uphill mode and several fail safe modes in Matlab Simulink.

Experiments with ACS Lab
The ACS lab aims at providing a first-hand experience of vehicle hacking to the students of Automotive Engineering & Electronics. The lab uses both virtual tools and hardware. Students use them to understand the CAN (Controller Area Network) communication, data logging and penetration testing. Participants can perform experiments such as V-Can: Sniff CAN communication, Identify CAN ID for various functions, hack the virtual system.

Eligibility Criteria

Minimum eligibility to apply: 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 after the completion of the degree is required to 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.

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