The programme will provide graduates with a broad range and depth of knowledge in automotive engineering, from traditional vehicle design through hybrid and electric vehicles to autonomous and connected vehicle technology. The graduates will develop skills in engineering analysis, design, manufacture, and management applied to the automotive engineering industry.
The programme is designed to be individually tailored by the student to suit their particular needs and interests, by selecting modules from a range of options. It is aimed at graduate engineers who wish to pursue a career in industry using advanced engineering techniques. The programme also aims to provide in depth knowledge in specific subject areas to those graduates who are considering a research career in either industry or academia.
On completion of the course a graduate should be able to:
- demonstrate an advanced level of knowledge and understanding in his/her chosen automotive engineering subject areas;
- integrate and apply their skills to the solution of a real engineering problem involving some combination of computational, experimental and theoretical techniques in a selected area of automotive engineering;
- demonstrate ability to deal with complex and contradictory knowledge, critically analyse complex problems and be able to develop new approaches to problem solving;
- critically and independently review and evaluate their own work and that of others;
- demonstrate both confidence and effectiveness in:
> communication and its support through appropriate IT facilities;
> the setting of objectives and the planning and management of time and resources;
> management and team working skills;
- approach professional problems and challenges with initiative, responsiveness, decisiveness and confidence.
[Learning Outcomes, Transferable (Key) Skills, Assessment]
View Timetable
Candidates will be required to study the following compulsory modules
| Code | Title | Credits | Semester | Pass for Progression |
|---|---|---|---|---|
| MECH5125M | Electric and Hybrid Drivetrain Engineering | 15 | Semester 2 (Jan to Jun) | |
| MECH5170M | Connected and Autonomous Vehicles Systems | 15 | Semester 1 (Sep to Jan) | |
| MECH5185M | Automotive Chassis Engineering | 15 | Semester 1 (Sep to Jan) | |
| MECH5845M | Professional Project | 60 | Semesters 1 & 2 (Sep to Jun) | PFP |
| MECH5880M | Team Design Project | 15 | Semester 1 (Sep to Jan) | PFP |
Candidates will be required to study a total of 60 credits of optional modules, with a maximum of 30 credits in semester 2 from either of the 2 baskets.
Candidates will be required to study 30 credits from the following optional modules (basket 1):
| Code | Title | Credits | Semester | Pass for Progression |
|---|---|---|---|---|
| MECH5015M | Computational Fluid Dynamics Analysis | 15 | Semester 2 (Jan to Jun) | |
| MECH5315M | Engineering Computational Methods | 15 | Semester 1 (Sep to Jan) | |
| MECH5465M | Experimental Methods and Analysis | 15 | Semester 1 (Sep to Jan) | |
| MECH5775M | Advanced Manufacturing | 15 | Semester 1 (Sep to Jan) | |
| MECH5790M | Design Optimisation | 15 | Semester 1 (Sep to Jan) |
Candidates will be required to study 30 credits from the following optional modules (basket 2):
| Code | Title | Credits | Semester | Pass for Progression |
|---|---|---|---|---|
| MECH5065M | Vehicle Dynamics and Design | 15 | Semester 2 (Jan to Jun) | |
| MECH5345M | Fundamentals of Tribology | 15 | Semester 1 (Sep to Jan) | |
| MECH5375M | Surface Engineering and Coatings | 15 | Semester 2 (Jan to Jun) | |
| MECH5495M | Engineering Psychology and Human Factors | 15 | Semester 2 (Jan to Jun) | |
| MECH5660M | Lubrication and Lubricants | 15 | Not running in 202425 |
Last updated: 24/07/2024 15:03:14
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