M. Tech. in Automotive Technology
Duration
Eligibility
Passed Bachelor’s Degree or equivalent in Mechanical/Automobile/Production/ Mechatronics/Electronics and Communication Engineering or related fields. Obtained at least 50% marks (45% for reserved category) in the qualifying examination, as per AICTE APH 2024-25 norms.
The M. Tech. in Automotive Technology, offered in collaboration with Toyota Kirloskar Motors, Bangalore, equips students with expertise in modern vehicle systems, embedded software, and intelligent electronics. The curriculum covers ECU fundamentals, automotive operating systems, communication protocols, ADAS, AI/ML applications, functional safety (ISO 26262), and cybersecurity (ISO 21434).
Practical labs in multi-ECU integration, automotive networking, and simulation/validation ensure hands-on industry exposure. This program blends mechanical engineering fundamentals with cutting-edge electronics, software, and AI applications in the automotive domain. The post graduates are prepared to contribute to innovations in smart vehicles, sustainable mobility, and software-defined automotive systems, making them highly relevant to the global automotive industry.
Programme Overview
Course Curriculum
- 01Applied Mathematics for Automotive Systems - MAT4013
- 02Automotive Systems and Vehicle Architecture - MEC5018
- 03Embedded Systems and Automotive Software - ECE4501
- 04Automotive Electronics and ECU Fundamentals - ECE4502
- 05Software Engineering Practices for Automotive Systems - ECE4503
- 06Japanese Language – I - XXXXXXX
- 01Automotive Operating Systems and RTOS Concepts - ECE4504
- 02Discipline Elective – I - ECEXXXX
- 03Discipline Elective – II - ECEXXXX
- 04Embedded Software Integration Lab - ECE4550
- 05Automotive Networking Lab - ECE4551
- 06Open Elective – I - XXXXXXX
- 07Japanese Language – II - XXXXXXX
- 01Autonomous Driving Systems - ECE4505
- 02AI and Machine Learning for Automotive Applications - ECE4506
- 03Discipline Elective – III - ECEXXXX
- 04Discipline Elective – IV - ECEXXXX
- 05Discipline Elective – V - ECEXXXX
- 06Open Elective – II - XXXXXXX
- 07Japanese Language – III - XXXXXXX
- 01Dissertation - PIP8500
Programme Educational Objectives
PEO-1: Establish themselves as successful automotive engineers committed to ethical and sustainable practices.
PEO-2: Become competent professionals in vehicle embedded systems design, electric mobility, and intelligent transport systems.
PEO-3: Engage in lifelong learning to adapt to evolving automotive technologies and societal needs.
Programme Outcomes (POs)
On successful completion of the Program, the students shall be able to:
PO1. Analyse, manage and supervise engineering systems and processes with the aid of appropriate advanced tools.
PO2. Design a system and process within constraints of health, safety, security, economics, and manufacturability to meet desired needs.
PO3. Carry out research in the respective discipline and publish the findings.
PO4. Effectively communicate and transfer the knowledge/skill to stakeholders.
PO5. Realise the impact of engineering solutions in a contemporary, global, economic, environmental, and societal context for sustainable development.
Programme Specific Outcomes
PSO-1: Demonstrate proficiency in designing and analysing automotive systems including ECU architectures, real-time operating systems, EVs, and autonomous vehicles.
PSO-2: Solve complex engineering problems integrating AI/ML, cloud technologies, and cybersecurity principles in mobility, safety, and sustainability.
PSO-3: Collaborate with industry to execute impactful projects in vehicle dynamics and intelligent transportation systems to advance automotive research and development.
Student handbook
Program Regulations
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USPs
- Industry Collaboration: Jointly designed with Toyota Kirloskar Motors, ensuring real-world relevance.
- Comprehensive Curriculum: Covers ECU design, ADAS, AI/ML, functional safety, and cybersecurity standards.
- Hands-on Labs: Multi-ECU integration, automotive networking, and simulation/validation facilities.
- Future-Ready Skills: Training in software-defined vehicles and sustainable mobility solutions.
- Global Relevance: Graduates prepared for roles in smart vehicle innovation and international automotive R&D.
Career Opportunities
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Design & Development
Automotive Design Engineer
EV Powertrain Engineer
Autonomous Vehicle Engineer
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Verification & Testing
Vehicle Testing Engineer
Safety & Compliance Engineer
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Process & Product
Manufacturing Engineer
Quality Engineer
Product Development Specialist
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R&D & Innovation
Mobility Researcher
AI in Automotive Specialist
Sustainable Transport Consultant
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Emerging Roles
ADAS Engineer
Automotive Cybersecurity Specialist
Software-Defined Vehicle Architect
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Specialisations in Digital Marketing & Advertising / Public Relations & Corporate Communication - B.A. in Journalism & Mass Communication
Specialisations in Film, Television & Digital Production - B.A. Journalism & Mass Communication
Specialisations in Immersive Media, AR/VR & Interactive Storytelling - B.A. in Journalism & Mass Communication
Specialisations in Digital Storytelling & Content Creation
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Presidency School of Liberal Arts and Sciences
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UG Program/s
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- B.A. (Psychology, Economics)
- B.A. (Communication and Media, Psychology)
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- B.A. (History & Political Science)
- B.A. (Political Science & Economics)
- B.A. (Political Science & Sociology)
- B.A. (English & History)
- B.A. (English & Political Science)
- B.A. (Performing Arts – Classical Music, Psychology)
- B.A. (Performing Arts – Classical Dance, Psychology)
- B.A. (Theatre Studies, Psychology)
- B.A. (Performing Arts – Classical Dance, English)
- B.A. (Performing Arts – Western Music – Instrumental, English)
- B.A. (Performing Arts – Western Music – Instrumental, Psychology)
- B.A. (Theatre Studies, English )
- B.A. (Communication and Media Studies, English)
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- Presidency School of Allied and Healthcare Professions
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Presidency School of Artificial Intelligence and Advanced Computing
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- B.Tech. Robotics & Artificial Intelligence
- B.Tech Computer Science & Technology (Big Data)
- B.Tech. Computer Science & Engineering (Data Science)
- B.Tech. Artificial Intelligence and Data Science
- B.Tech Computer Science & Engineering (Cyber Security)
- B.Tech Computer Science & Engineering (Internet of Things)
- B.Tech. Computer Science & Engineering (Block Chain)
- B.Tech Computer Science & Technology (DevOps)
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- B.Tech CST (Big Data) - Financial Data Engineering & Analytics
- B.Tech CSE (Cyber Security) - Cybersecurity for Digital Finance
- B.Tech CSE (Data Science) - Financial Data Science & Predictive Analytics
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