*Program Overview* 

*Duration*: 2 years (4 semesters) 

*Focus Areas*: Vehicle design, hybrid/electric systems, autonomous vehicles, sustainability, and automotive manufacturing. 

 

*Program Objectives* 

1. Develop expertise in advanced automotive design, propulsion systems, and vehicle dynamics. 

2. Equip students with skills in emerging areas like electric vehicles (EVs), autonomous driving, and connected car technologies. 

3. Foster innovation through research, industry collaboration, and sustainable engineering practices. 

 

*Course Structure* 

 

*Year 1: Core Courses* 

*Semester 1* 

- Advanced Vehicle Dynamics 

- Internal Combustion Engines & Emission Control 

- Automotive Materials & Manufacturing Processes 

- Computational Fluid Dynamics (CFD) for Automotive Design 

- Research Methodology & Data Analysis 

 

*Semester 2* 

- Hybrid and Electric Vehicle Technology 

- Automotive Electronics & Embedded Systems 

- Finite Element Analysis (FEA) in Automotive Design 

- Autonomous Vehicle Systems (Sensor Fusion, AI, and Control) 

- Elective I (e.g., Advanced Powertrain Systems) 

 

*Year 2: Specialization & Research* 

*Semester 3* 

- Automotive Safety & Crashworthiness 

- Vehicle Aerodynamics & Noise, Vibration, Harshness (NVH) 

- Smart Manufacturing & Industry 4.0 in Automotive 

- Elective II (e.g., Battery Management Systems for EVs) 

- Elective III (e.g., Connected Vehicle Technologies) 

- *Dissertation/Thesis Work (Phase I)* 

 

*Semester 4* 

- *Dissertation/Thesis Work (Phase II)* 

- *Internship/Industry Project* (optional) 

- Technical Seminar & Viva Voce 

 

*Electives* 

- Automotive Aerodynamics 

- Advanced Battery Technologies 

- Vehicle Cybersecurity 

- AI & Machine Learning in Automotive Systems 

- Sustainable Automotive Manufacturing 

- Automotive Robotics & Automation 

- Fuel Cell Technology 

- Advanced Driver-Assistance Systems (ADAS) 

 

*Labs & Practical Training* 

1. *Advanced Powertrain Lab*: Testing hybrid/electric drivetrains. 

2. *Vehicle Dynamics Simulator*: Multi-body dynamics software (e.g., ADAMS, CarSim). 

3. *Autonomous Systems Lab*: Lidar, radar, and AI-based navigation systems. 

4. *CFD/FEA Labs*: ANSYS, COMSOL, or STAR-CCM+ for design optimization. 

5. *EV Battery Testing Lab*: Performance and lifecycle analysis. 

 

*Research & Projects* 

- *Dissertation/Thesis*: Focus on cutting-edge topics like EV battery optimization, autonomous vehicle algorithms, or hydrogen fuel cells. 

- *Capstone Projects*: Industry-sponsored challenges (e.g., lightweight vehicle design, emission reduction). 

- *Collaborations*: Partnerships with automotive OEMs (e.g., Tesla, Toyota) or research institutes (SAE, IEEE). 

 

*Industry Integration* 

- *Internships*: At automotive R&D centres (e.g., Bosch, Ford, Tesla). 

- *Workshops*: Guest lectures by industry experts on trends like autonomous driving or EV infrastructure. 

- *Case Studies*: Analysis of real-world problems (e.g., Tesla’s Autopilot, Toyota’s lean manufacturing). 

 

*Key Textbooks & Resources* 

- *Vehicle Dynamics: *Race Car Vehicle Dynamics by Milliken & Milliken. 

- *EV Technology: *Electric Vehicle Technology Explained by James Larminie. 

- *Autonomous Systems: *Autonomous Driving by Markus Maurer et al. 

- *Journals: *SAE International Journal, IEEE Transactions on Vehicular Technology. 

- *Software*: MATLAB/Simulink, CATIA, ANSYS, ROS (Robot Operating System).