Progressive, technology-led companies are looking for people with both the practical engineering skills and the management skills to drive productivity and profitability.
With the advent of intelligent vehicles on the horizon of technical advancements, the automotive industry is facing a developmental challenge. How do we develop a robust technical infrastructure to support the anticipated explosive growth in smart vehicular functions, communications systems and driverless cars? This demands a comprehensive understanding of the technology and a bottom-up approach ensuring robustness and dependability of Electronics, Communications (e.g. V-2-V, V-2-I) and Control Systems.
The strategic success of any industrial player in this area would depend on a ready availability of a skilled work-force within high level technical competencies, specifically catered for the automotive environment.
Through this Master's course, we aim to address the knowledge-gap in the areas of machine learning, automated control strategies, connectivity, and communication infrastructure, cyber-security protocols, emerging automotive networks and robust automotive embedded systems within the context of smart, connected and autonomous vehicles.
WMG at the University of Warwick has an established legacy of leading automotive research in collaboration with industry. Our unique experimental facilities enable academics and industry practitioners to work together and include:
- 3xD (Drive-in Driver-in-the-loop Driving) simulator facility
- Fully-functional complete vehicle electrical/electronic system (labcar)
- Hardware-in-the-Loop (HIL) facilities
- National Automotive Innovation Centre (NAIC)
This MSc programme has extensive industrial support with the Industry Advisory Board consisting of Jaguar Land Rover (JLR), RDM and other industrial stakeholders.
The course receives project and teaching support from a number of additional companies including: ON semiconductor, Oxfordshire City Council, National Instruments, AVL, IPG Automotive, Lumerical, Shell, CRA Risk Analysis, Konrad Technologies and Jaguar Land Rover.
You'll be required to take the following modules as part of this MSc programme:
The following modules are default elective modules, meaning that they will be scheduled for you in advance. If you prefer to change these for different elective module selected from the full module list, this can be done on arrival at Warwick in consultation with the course leader.
Please note: the list relates to modules available in 2018/19 academic year, and should be regarded as an illustrative guide to modules available in future years.
Your project is worth 50% of your final grade and supports you in developing your personal research and analytical skills.
Leveraging the close partnerships that WMG has with key organisations within the automotive sector, it is envisaged that your project will have an industrial sponsor, enabling you to work in close collaboration with an industry partner. This valuable experience will further your transferrable skills development, and expand your networking opportunities and understanding in a professional research and development environment.
Work on your project runs concurrently with your module study.
The taught component of the course is a mixture of lectures, seminars, syndicate/group work, practicals, online learning and forum activities. Module leaders are experts in their fields and are supported by external speakers working in organisations at the forefront of their fields.
The taught component of the course is assessed primarily through written assignments, although some modules include assessed in-module exercises. There are no written exams.
MSc Smart, Connected and Autonomous Vehicles includes both 10 and 15 CAT modules. 10 CAT modules are usually delivered over one week and 15 CAT modules will be delivered over two weeks. See here for more information about the course structure.
In order to meet our academic entry requirement, you should have obtained the minimum of a UK second class honours degree (or equivalent) in an engineering or STEM subject.
SCAV is particularly suitable for those with a background in electronics, electrical engineering, control systems, or communications who want to play a role in the development of connected and autonomous vehicles, and the Intelligent Transportation Systems Network.
What you will need to apply
- A completed application form and application fee.
- A Personal Statement, which can be included in the online application.
- A scan of your transcript (marksheet). If you are still studying, send us your transcripts to date. NB: if you are made an offer, we will then require your original degree transcripts and certificate in hard copy format to clear your conditions.
- English test result (if applicable) - this can be submitted after you have an offer.
- One reference. If you completed studies less than 2 years ago, this should be an academic reference. If you graduated more than 2 years ago, we will accept professional references. We contact your referee directly, so please include their valid professional email address on your application form.
You can read more about the application process on our how to apply page.
Two-stage application process
Please be aware that this course will have a two-stage application process. Once you have submitted your application, and providing you meet our admission requirements, our team will be in touch with instructions on the next stage. The second stage will require a video statement or an interview.
What our students say...
Smart, Connected and Autonomous Vehicles will have its first intake of students in October 2018 - so, unfortunately, we don't have any student views for you to read for this course just yet. Watch this space for updates!
In the meantime, you can find out what our current students think about studying at WMG Master's in general, by taking a look at our blogs and vlogs page. You can also check out our alumni stories too.
We hope that these pages are enough to give you a flavour of student life at WMG, but please feel free to contact us if you'd like further information.
Employability and career prospects
Graduates of this MSc will understand a myriad of factors contributing towards the performance and dependability of connected and autonomous vehicles and will be well placed to continue professional work within R&D.
WMG: a department embedded in industry
You'll be studying in an environment surrounded by professionals from a range of industries and sectors; including hearing directly from industry experts and guest speakers in many of our modules.
Throughout the year, we also host activities and events that will help you to understand potential career pathways including; seminars; external speakers; industrial visits; alumni talks and more. We encourage our students to make the most of the opportunities available to learn about career options for the future.
Warwick Careers Service
The University of Warwick's Careers Service offers specific careers support to WMG students, through a dedicated Careers Advisor, Siobhan Qadir. The service provides practical workshops and 1-1 appointments for our students covering many aspects of career choice and development, including: how to build a strong CV and write job applications; effective career planning and guidance; and how to enhance your interview and networking skills.
Additionally, each year, employers have a presence on campus, with careers fairs, presentations and guest lectures happening on a regular basis; meaning you'll have lots of exposure to potential employers.
We hope that your relationship with WMG and the University of Warwick will continue long after your graduate. The university and the department both have vast alumni networks and, upon graduation, you'll be a member of this ever-growing community of professionals working in countries around the world. You'll have access to our alumni support; events; e-mentoring scheme; amongst many other opportunities.
You can read about more about the careers and experiences of our alumni on our alumni profiles web pages.
English language requirements
However, please note that early application for this course is strongly recommended.
*Applications will close prior to this deadline if capacity on the course is reached.