Automotive Engineering (Industrial)
Entry requirements
A level: A*AA (specific subject requirements) BTEC: DDD (RQF) in an Engineering-related BTEC and a grade A in A Level Mathematics. IB: 18 points at higher level to include 6 points in higher level Mathematics and Physics or Chemistry.
About this course
MEng, BEng in Automotive Engineering (Industrial), a robotics engineering degree focusing on the design and development of modern vehicle systems. The curriculum includes an integrated paid industrial placement year and professional accreditation by the Institution of Mechanical Engineers. The first year establishes fundamental engineering principles through modules such as Design and Manufacture 1, Thermofluids 1, Solid Mechanics, Engineering Materials, and Engineering Mathematics. The second year expands into applied mechanical concepts with Engineering Mechanics, Vibration and Control, Design and Manufacture 2, Economics and Management, Mechatronics and Measurement Systems, and Thermofluids 2. The third year involves focused technical study and practical investigations including Individual Engineering Project, Design of electric race car cooling system, Development of an optimised rear mounting frame for a Formula Student car, Future decarbonisation of transport: Propulsion system, Tribological performance of automotive braking systems, Vehicle Design and Analysis, Additive Manufacturing, and Computational Fluid and Structural Mechanics. The final stage culminates in advanced study and collaborative work through Team project, Virtual Testing Environment for autonomous vehicles, Design of suspension and chassis for electric vehicle, Design of electric adventure type motorbike, Build of half scale autonomous vehicle, Electric and Hybrid Drivetrain Engineering, Connected and Autonomous Vehicles Systems, Automotive Chassis Engineering, Engineering Computational Methods, Energy Systems, Policy and Economics for Engineers, Fundamentals of Tribology, Surface Engineering and Coatings, Engineering Psychology and Human Factors, and Design Optimisation.
Modules
- Design and Manufacture 1 –
- Thermofluids 1 –
- Solid Mechanics –
- Engineering Materials –
- Engineering Mathematics –
- Engineering Mechanics –
- Vibration and Control –
- Design and Manufacture 2 –
- Economics and Management –
- Mechatronics and Measurement Systems –
- Thermofluids 2 –
- Individual Engineering Project –
- Design of electric race car cooling system
- Development of an optimised rear mounting frame for a Formula Student car
- Future decarbonisation of transport: Propulsion system
- Tribological performance of automotive braking systems
- Vehicle Design and Analysis –
- Additive Manufacturing –
- Computational Fluid and Structural Mechanics –
- Team project –
- Virtual Testing Environment for autonomous vehicles
- Design of suspension and chassis for electric vehicle
- Design of electric adventure type motorbike
- Build of half scale autonomous vehicle
- Electric and Hybrid Drivetrain Engineering –
- Connected and Autonomous Vehicles Systems –
- Automotive Chassis Engineering –
- Engineering Computational Methods –
- Energy Systems, Policy and Economics for Engineers –
- Fundamentals of Tribology –
- Surface Engineering and Coatings –
- Engineering Psychology and Human Factors –
- Design Optimisation –