Master Electric Vehicle engineering and Autonomous System development using MATLAB, Simulink, Simscape, Stateflow, Embedded Coder, and Model-Based Design. Design, simulate, validate, and deploy EV powertrains, battery management systems, motor control algorithms, power electronics, and autonomous driving workflows through industry-oriented projects.
Industry-Standard Electric Vehicle & Autonomous Engineering Toolchain
Build expertise across electric vehicle systems, power electronics, battery technologies, motor control, and autonomous driving using MATLAB & Simulink.
Design AC/DC, DC/DC converters, inverters, PWM systems, and grid-connected power electronics.
Develop advanced control algorithms for DC, BLDC, PMSM, SRM and induction motors.
Model battery packs, estimate SOC/SOH, thermal behavior, and implement battery protection systems.
Create autonomous driving scenarios, perception pipelines, object tracking, and motion planning workflows.
A complete industry-focused curriculum covering MATLAB, Simulink, EV Power Electronics, Motor Control, Battery Management Systems, Simscape Vehicle Modeling, Autonomous Driving, and Model-Based Design.
Design and simulate a complete inverter system using MATLAB Simulink including rectifier, DC bus, PWM inverter, and output analysis.
Develop a complete motor drive simulation for DC, BLDC and PMSM motors with closed-loop speed control.
Design and simulate a complete Battery Management System including SOC estimation, thermal analysis and protection logic.
Develop an autonomous driving workflow including scenario generation, perception, tracking, motion planning, code generation and deployment.
Professional software, simulation environments, and hardware platforms used in Electric Vehicle and Autonomous System engineering.
Progress from MATLAB fundamentals to complete Electric Vehicle and Autonomous Driving systems through structured hands-on learning and real engineering projects.
Learn MATLAB programming, Simulink modeling, Simscape fundamentals, and power electronics concepts.
MATLAB & Simulink Engineering Models
Design converters, motor drives, battery systems, power electronics, and complete EV powertrain models.
EV Powertrain Simulation
Develop driving scenarios, object detection, tracking, motion planning, and vehicle control using Model-Based Design.
Autonomous Driving Workflow
Complete an internship-grade project with embedded code generation, hardware integration, validation, and technical documentation.
EV / Autonomous Engineering Capstone
Build practical engineering expertise in Electric Vehicles, Battery Management Systems, Power Electronics, and Autonomous Driving using industry-standard Model-Based Design workflows.
Basic Knowledge
Beginner Level
Industry Ready
EV Systems Engineer
Basic programming with little exposure to engineering simulations.
Limited understanding of power electronics, BMS, and electric drives.
No practical experience with Model-Based Design or autonomous systems.
Design complete EV powertrain, motor control and battery systems.
Build driving scenarios, perception, tracking and motion planning workflows.
Graduate with deployable simulations, code generation artifacts and internship-grade projects.
Gain hands-on experience in EV systems, battery management, autonomous driving and Model-Based Design through premium projects.
Develop real engineering solutions using MATLAB, Simulink, Simscape, Embedded Coder, Battery Management Systems, Power Electronics, Motor Control, and Autonomous Vehicle workflows. Every project should demonstrate industry-relevant skills and be suitable for an engineering portfolio.
Description here.
Hear from engineers who transformed their careers through hands-on Electric Vehicle, Power Electronics, Battery Management System, and Autonomous Vehicle projects.
"The Electric Autonomous Premium program gave me practical experience in EV powertrain simulation, Battery Management Systems, and autonomous driving workflows. The internship project became the highlight of my technical interviews and helped me secure an EV Systems Engineer role."
EV Systems Engineer
@ Tata Motors EV
"The Battery Management and EV Powertrain modules provided exactly the practical skills required by the industry."
@ Ather Energy
"The inverter design and converter simulations matched real industrial projects. I was productive from my very first day."
@ Bosch India
"The driving scenario generation, perception, and motion planning projects gave me confidence to work on autonomous vehicle development."
@ Mercedes-Benz R&D India
"I transitioned from mechanical design into Electric Vehicle engineering through the hands-on Simulink and Model-Based Design projects."
@ Mahindra Electric
"The MATLAB and Simulink workflow completely changed the way I approach EV system development."
@ TVS Motor Company
"My internship capstone project and simulation portfolio impressed recruiters and helped me land my first EV engineering job."
@ Valeo India
Flexible learning paths tailored to your career milestones. Select the track that fits your background.
Total INR 5,10,000* (Inclusive of taxes)
Total INR 7,50,000* (Inclusive of residency)
*Estimates based on market placement reports. Individual outcomes may vary.
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For successful execution and completion of all curriculum pathways, hands-on industrial capstones, and verifiable code deliverables.
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Develop next-generation electric vehicles by designing powertrains, battery systems, motor control algorithms, and energy-efficient drive systems.
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Build advanced driver assistance systems, vehicle control software, embedded electronics, and intelligent automotive platforms.
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Develop perception, sensor fusion, motion planning, vehicle simulation, and autonomous driving technologies using MATLAB and Simulink.
Future MobilityThis program is designed for electrical, electronics, mechanical, automotive, and mechatronics engineering students, graduates, and working professionals who want practical experience in Electric Vehicle systems, MATLAB/Simulink, Power Electronics, Battery Management Systems (BMS), and Autonomous Vehicle technologies.
Basic knowledge of engineering mathematics, electrical circuits, and MATLAB fundamentals is recommended. Beginners can also join, as the program starts with core MATLAB and Simulink concepts before progressing to advanced EV and autonomous system development.
You'll gain practical experience with MATLAB, Simulink, Simscape, Stateflow, Embedded Coder, Simulink Coder, Power Electronics libraries, Motor Control toolboxes, Battery Management workflows, Arduino integration, and Autonomous Vehicle scenario generation.
Yes. The program includes hands-on projects such as EV Powertrain Modeling, Inverter Design, Battery Management Systems, Motor Control, Arduino-Based Control Systems, Autonomous Driving Simulation, and an Internship Capstone Project.
The curriculum consists of 32 learning modules together with a 30-day internship lab series. Most learners complete the program within 8–12 weeks, while an intensive learning path can be completed in approximately 4 weeks.
Yes. The course covers battery cell modeling, battery pack design, SOC/SOH estimation, thermal modeling, passive and active balancing, protection strategies, and complete Battery Management System simulation using MATLAB and Simulink.
Yes. You'll learn driving scenario generation, perception pipelines, object detection, multi-object tracking, motion planning, Model-Based Design (MBD), and automatic code generation for autonomous vehicle applications.
Graduates are prepared for careers such as EV Systems Engineer, Power Electronics Engineer, Battery Management Engineer, Motor Control Engineer, Controls Engineer, Embedded Systems Engineer, and Autonomous Systems Engineer.
Upon successful completion, you'll receive a Certificate of Completion along with internship project documentation, simulation models, code generation artifacts, and portfolio-ready deliverables. Career support includes resume guidance, technical interview preparation, and project portfolio reviews.
Transform your skills from isolated expertise into full-stack robotics capability. Secure your seat for the next cohort and start the capstone that employers notice.
