Smart, Connected and Autonomous Vehicles (with 90 credit project)
Course Aims
- Meet employer demand for post graduate engineers who have strong applied technical and analytical skills in areas relating to Smart, Connected Autonomous vehicles.
- Supply to the automotive industry (and associated supply chain) high calibre post graduate engineers who are able to undertake a technology leadership position within an organisation that is researching and developing products and services to support intelligent vehicles.
- Provide an education route for WMG’s research portfolio in the area of Autonomous vehicles and Communications for the Connected Car.
Course Learning Outcomes
- Critically evaluate different approaches to connectivity and vehicular autonomy within the context of Intelligent Transportation systems alongside political, technological, environmental and social challenges relevant to the automotive supply chain and to synthesise alternative de-signs.
- Critically evaluate different design and development options and testing methods within the context of a full life-cycle assessment of connected and autonomous vehicle concepts and sub-system designs.
- Demonstrate the ability to independently design, analyse and verify the operation of electronic control and software systems that underpin the performance, safety and sustainability of connected and autonomous vehicular systems.
- Independently plan and implement a programme of individual research including the effective written and oral dissemination of the research outcomes.
Module Requirements for Smart, Connected and Autonomous Vehicles
Candidates for the MSc will be required to take 180 credits overall to include modules equivalent to at least 70 credits from the Core list and at least 20 credits from the Defined Elective list as well as a dissertation project.
Candidates for the Postgraduate Diploma will be required to pass 60 module credits from the Core list as well as a dissertation project considered by an Exam Board to be a pass at Postgraduate Diploma level.
Candidates for the Postgraduate Certificate will be required to pass 60 credits from the Core list.
Candidates for the Postgraduate Award will be required to pass 30 credits from the Core list.
Definition of terms:
- Core: students must pass the module (50% or above)
- Optional core: students must take the stated proportion of modules from this list and must achieve a pass (50% or above).
- Required: students must achieve mark of 40% or above on the module
- Defined Elective: students must take the stated proportion of modules from this limited list
- Optional (elective) modules: students may take any remaining credits from this list after satisfying the list requirements outlined above
- Students are still required to achieve the stated amount of passed credits and credits failed in the 40s for award as per General PGT Regulations page
Course regulations are written as the basis on which awards can be made. They are not written to make any guarantee of which optional modules may be available in any location in a specific academic year.
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21/22: Smart, Connected and Autonomous Vehicles – UK Full and Part Time MSc Programmes |
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| Module Code | Module Name | Credit | |
| Dissertation | ES928-90 | MSc Dissertation | 90 |
| Core list |
WM918-15 WM917-15 WM919-15 WM915-15 WM916-10 |
Automotive Sensors and Sensor Fusion Networks and Communications for the Connected Car Machine Intelligence & Data Science Robust Automotive Embedded Systems Human Technology Interaction |
15 15 15 15 10 |
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Defined Elective list |
WM908-10 |
Programming and Fundamental Algorithms for Scientists and Engineers |
10 |
| WM987-10 |
Automotive Powertrain Electrification Fundamentals |
10 |
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Optional (elective) modules |
Suggested suitable modules are listed below: |
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WM022-10 |
Business Model Generation |
10 |
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