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Overview

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.

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.

Through this MSc in Smart, Connected and Autonomous Vehicles, 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.

Accreditations

This course has been designed to be accredited by the IET and, now that the first cohort have graduated, it will be part of the next departmental accreditation review by IET due to take place in 2022. It is usual in these circumstances for accreditation to be backdated.


Date
Tuesday, 01 January 2019

Course content

Course modules

For 2021 entry, you'll be required to take the following modules as part of this MSc programme:

Elective module

To complement your core modules listed above, you must select one elective module from the following options:

Please note: the modules outlined above represent those available for this course in the 2021/22 academic year. They should be regarded as an illustrative guide to modules available in future years.


Project

Your project is worth 33% 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.


Learning style

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 consists of 15 CAT modules and one 30 CAT module. 15 CAT modules will be delivered over two weeks. See here for more information about the course structure.

Date
Friday, 01 February 2019

Entry requirements

Entry requirements

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.

English language
For non-native English speakers, we require an IELTS score of 6.5 (with no less than 6.0 in any one component).
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.

Date
Friday, 01 March 2019

Student views

What our students say...

Jonathan Robinson

"Coming from a maths background, I had no prior experience in engineering or the AV industry. Leaving the course, I not only felt as if I had a good understanding of the AV industry, but also a better understanding of engineering in general. This was possible as the support provided by those involved in the teaching of the course was exceptional - they were always there to offer support to fill knowledge gaps. The combination of internal and external teaching alongside theoretical lectures and practical work made the course engaging and enjoyable. I found it extremely useful to be taught about the systems within an AV, the communication and machine intelligence aspects and how human interactions with the vehicle may change. For the dissertation, there are options to work on an industry-sponsored project or to define your own project, allowing you to shape the project towards the areas that interest you most"

Braulio Solano Rivas

"The MSc SCAV helped to fill in all the gaps that were missing from my engineering degree. It provided a lot depth about all the relevant aspects of autonomous/driverless technology, such as essential sensors, software tools and communication protocols. WMG is also well equipped with labs, and we were able to observe technical work being delivered for research projects at the university. The most interesting part of the course was having industrial guests that get you involved on what the industry is using, developing, researching and implementing. All of this really helped with obtaining an end-to-end understanding of what an autonomous vehicle is and getting a job in the industry. I will soon be starting my new position as an Applications Engineer for National Instruments. The main part of my role will be as a consultant for American OEMs to help them develop their projects using the company’s solutions. Having the SCAV MSc qualification from WMG definitely helped to get me this high-level position."

Date
Monday, 01 April 2019

Employability

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.

MSc SCAV graduates are now working for a range of national and multinational companies that develop autonomous vehicles and the technology required to operate them, including Huawei, National Instruments, ROSEN, MIRA, NEVS, TVS, wayve.ai and UISEE. Some have also taken up positions within the WMG Intelligent Vehicles research teams.

Most graduates are now working in roles such as embedded software engineer, systems engineer, research engineer and applications engineer. Some are working in more managerial positions, others are in more research-based positions and some are pursuing further study at PhD level. As part of their roles, some are helping to develop specific technological components of autonomous vehicles, such as LiDAR, while others are working on elements such as software and simulation. They are also using their in-depth knowledge to advise and consult on these technologies and their implementation.

WMG: a department embedded in industry

You'll be studying in an environment surrounded by professionals from the autonomous vehicle sector, including hearing directly from industry experts and guest speakers in many of the modules. Previous guest speakers have come from companies such as Jaguar Land Rover, Porsche, ONSemiconductor, NVIDIA, AVL, LDRA, IPG CarMaker, Rodhe Schwarz and Continental.

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.

There are also various events run throughout the year to develop your skillset and teach you how to market this to employers. Individual workshops are hosted on a variety of topics, such as networking and time management. Or for those interested in a more complete programme, you can partake in awards such as WMG Skills+ to develop your core employability skills, or the Intercultural Training Programme to strengthen your intercultural awareness. In addition, there is a wealth of online material available to help strengthen your industrial knowledge and build on employability skills, such as the WMG Virtual Careers Programme. Find out more about the support available to you by visiting our Careers and Employability page.

Alumni

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.

      Date
      Wednesday, 01 May 2019

      Description

      Please note, this is course information for 2021 entry. We will be updating our web pages at the end of September to reflect the latest course information for 2022 entry. Applications for 2022 entry will open from mid-October.

      With the advent of connected and autonomous vehicles on the horizon, the automotive industry in facing a huge developmental change. Learn to lead the autonomous vehicle revolution.

      key-facts

      *Applications will close prior to the deadline if capacity on this course is reached. Early application is strongly recommended.