SCAV is designed for engineering or STEM subject graduates. It 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.
With the advent of smart, connected and autonomous 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 MSc 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:
This MSc programme has extensive industrial support with the Industry Advisory Board consisting of Jaguar Land Rover (JLR), RDM and other industrial stakeholders.
You will need to choose four elective modules from the module list*, which should be chosen to supplement your core modules above (subject to availability). *Important, please note: the list relates to modules available in 2017/18 academic year, and should be regarded as an illustrative guide to modules available in future years.
You are required to pass nine modules in total as part of this Master's course.
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.
The project is worth 50% of the final grade, and supports you in developing research and analytical skills.
Work on your project runs concurrently with your module study.
The taught component of the course consists of lectures, workshops, practicals, demonstrations, syndicate exercises, extended surgery time and reviews. Module leaders are experts in their fields and are supported by external speakers working in organisations at the forefront of their fields.
Assessment is through post module assignment (PMA) rather than exam and is based on the learning objectives of each module. Your PMA should take around 60 hours of work and consolidate the knowledge you have gained from the module.
Each module usually lasts one week. There is more information here about the course structure.
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.
If you want to get involved in our next industry revolution - Industry 4.0 this degree will go a long way to providing you with many skills needed in this high growth industry area which has continued from where the mass communications revolution. You must have covered either computer science or electrical and electronic engineering as your first degree or a suitable combination to study this Master's degree. The digital age is changing the way we live, communicate, interact and our quality of life rapidly. Cloud based networks are now normal, autonomous vehicles are being explored, visual recognition, GIS aligning to our search interests, data mining to inform us automatically at any point in time what is happening around us and new methods to inform us of danger, awareness, alerts and so on.
Artificial Intelligence provides in depth knowledge of data mining, natural language, information visualisation and communication used in Industry 4.0 innovation industries such as autonomous vehicles, sensor data collection and computation, visual computer recognition software and machine to machine technologies. It is also said that artificial intelligence has the potential to change how we research and act to provide immediate solutions to energy, travel, and gridlock before it happens by setting up more alerts and warnings to us. We now already have the capabilities in smart technology to alert us on maps, apps, weather stations, lighting, sensors and other electronic and wired machine to machine devices to provide instant relevant information.
You are also advised to visit the organisation websites via the link below to find out about the innovations which may be influenced by AI:
You can broaden and deepen your skills with industry client opportunities where possible
Find out more detail by visiting the programme web page
Find out about fees:
*Please be advised that some programmes have different tuition fees from those listed above and that some programmes also have additional costs.
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MA Intelligent Mobility is a new 15-month, 240 credit programme that will succeed the existing MA Vehicle Design. It will be launched in 2017/18 alongside the Intelligent Mobility Lab, a new multidisciplinary research centre dedicated to the future of transportation design, systems and urban mobility, led by Director and inaugural Chair in Intelligent Mobility Professor Dale Harrow. MA Intelligent Mobility aims to place the RCA in the vanguard of the ‘third age’ of automotive design.
The MA Intelligent Mobility programme will comprise two distinct specialisms: Automotive Transitions and Urban Mobility. Automotive Transitions students will focus on using design thinking to develop innovative forms of transportation, such as autonomous vehicles. Urban Mobility students will focus on designing the systems and frameworks that enable people to move through hyper-connected cities. The programme will also acknowledge and explore solutions for the 80 per cent of people in developing or emerging economies who do not have access to transport.
The programme offers:
Robots have the potential to revolutionise society and the economy, working for us, beside us, and interacting with us. This EPSRC-sponsored programme will produce graduates with the technical skills and industry awareness to create an innovation pipeline from academic research to global markets.
The robotics and autonomous systems area has been highlighted by the UK Government in 2013 as one of the eight Great Technologies that underpin the UK's Industrial Strategy for jobs and growth. Key application areas include manufacturing, assistive and medical robots, offshore energy, environmental monitoring, search and rescue, defence, and support for the ageing population.
The University of Edinburgh and Heriot-Watt University are jointly offering this innovative four-year PhD training programme, which combines a strong general grounding in current theory, methods and applications with flexibility for individualised study and a specialised PhD project.
Robotics and autonomous systems are increasingly studied beyond the range of classical engineering. Today robots represent one of the main areas of application of computer science and provide challenges for mathematics and natural science.
It is impossible to imagine transportation, warehousing, safety systems, space and marine exploration, prosthetics, and many other areas of industry, technology and science without robots. Robots are used in theoretical biology and the neurosciences as a model of behaviour.
Areas of interest specific to the center include: movement control, planning, decision making, bio- and neurorobotics, human-robot interaction, healthcare applications, robot soccer, neuroprosthetics, underwater robotics, bipedal walking, service robots, robotic co-workers, computer vision, speech processing, computer animation realistic simulations, and machine learning.
Many more topics can be found be exploring the Centre’s web pages, particularly the personal web pages of the Centre supervisors:
Our four-year PhD programme combines Masters level coursework and project work with independent PhD-level research.
In the first year, you will undertake four or five masters level courses, spread throughout robotics, machine learning, computational neuroscience, computer architectures, statistics, optimization, sensorics, dynamics, mechanics, image processing, signal processing, modelling, animation, artificial intelligence, and related areas. You will also undertake a significant introductory research project. (Students with previous masters-level work in these areas may request to take less courses and a larger project.)
At the end of the first year, successful students will be awarded an MSc by Research by the University of Edinburgh. From this basis, the subsequent three years will be spent developing and pursuing a PhD research project, under the close supervision of your primary and secondary supervisors. The PhD will be awarded jointly by the University of Edinburgh and the Heriot-Watt University.
You will have opportunities for three to six month internships with leading companies in your area, and to participate in our industrial engagement programme, exchanging ideas and challenges with our sponsor companies.
Throughout your studies, you will participate in our regular programmes of seminars, short talks and brainstorming sessions, and benefit from our pastoral mentoring schemes.
Our user partners in industry include companies working in offshore energy, environmental monitoring, defence, assisted living, transport, advanced manufacturing and education. They will provide the real world context for research, as well as opportunities for reciprocal secondments, internships and involvement in our industrial engagement programme.
The School of Informatics holds a Silver Athena SWAN award, in recognition of our commitment to advance the representation of women in science, mathematics, engineering and technology. The School is deploying a range of strategies to help female staff and students of all stages in their careers and we seek regular feedback from our research community on our performance.
You will have access to the outstanding facilities in the Edinburgh Robotarium, a national facility for research into robot interaction, supporting the research of more than 50 world-leading investigators from 17 cross-disciplinary research groups.
Research groups at the Edinburgh Robotarium include humanoid movement control, underwater, land and airborne autonomous vehicles, human robot interaction, bio- and neuro-robotics, and planning and decision making in multirobot scenarios.
In addition, our research groups contain a diverse range of compute clusters for compute and data-intensive work, including a large cluster hosted by the Edinburgh Compute and Data Facility.
Our aim is to produce innovation-ready graduates who are skilled in the principles of technical and commercial disruption and who understand how finance and organisation realise new products in start-up, SME and corporate situations.
We intend for our graduates to become leaders in the globally emerging market for autonomous and robotic systems that reduce risk, reduce cost, increase profit and protect the environment. This vision is shared by our industrial supporters, whose support for our internship programme indicates their strong desire to find highly qualified new employees.
Our component research groups already have excellent track-records in post-graduation destinations, including the research labs of industry-leading companies, and post-doctoral research positions in top tier universities.
If you want a career working with electronic devices and systems, our master’s will develop your expertise to prepare you for industry. We’ll give you the training to help you become a talented engineer who can adapt and innovate in a swiftly-changing sector.
Our course covers a range of electronics technology including integrated circuits and printed circuit boards. You'll develop in-depth understanding in the intricacies of embedded hardware and software structures. Using modern control, design automation, digital and mixed signal design and computer engineering techniques, you'll explore how to improve the performance of electronic equipment and devices. This gives you a starting point from which to research and develop your own electronic systems, sub-systems, technologies, processes and products.
You’ll learn from academics with expertise in electronic and electrical engineering. Their international collaborations and research activities feed into your teaching and learning experience.
Group and individual projects challenge you to apply your theoretical knowledge in practical design work. They also give you the chance to develop skills in planning, teamwork, leadership and communication. Your individual project could be closely aligned with one of our research groups. You could focus on a variety of electronics applications such as sensors, robotics, electric vehicles or autonomous systems.
You’ll get hands-on lab experience with the latest electronics hardware, tools and systems. Our facilities include:
Your technical design skills and expertise in managing electronics design processes will equip you for industry. You will graduate with the competency in electronic systems design to pursue a career in electronic companies worldwide.Our top performing MSc students may also choose to further their studies with us through our PhD programme.
As part of our course, you’ll have the opportunity to apply for a three-month industrial placement after semester 2. This gives you the chance to apply your knowledge in industry. You could go on placement with one of our partner companies or businesses such as Intel. Your individual project will follow on and could be carried out with the same industry partner.
We will do our best to help you find a placement and support and guide you through the process. Our placements team runs workshops in CV writing and interview techniques to prepare you for applying. However, we cannot guarantee you a position. If you are unable to secure a placement, you will transfer onto our 12-month alternative MSc course and carry out your individual project during the summer period instead.
The unmanned systems industry is currently undergoing explosive growth; as a result there is an increased demand for unmanned vehicle systems designers. Our MSc Unmanned Aircraft Systems Design course has been created to provide graduate engineers with the necessary skills and knowledge to design unmanned airvehicle systems.
The future of exploration, transportation and conflict is in unmanned aircraft. Be the future and start a fascinating career on the precipice of national intelligence and technological advancements with a masters in Unmanned Aircraft Systems Design. Sometimes referred to as drones, UAVs, UAS or RPAS, unmanned aircraft are revolutionising our ability to monitor and understand our environment.
This industry-led course focuses on the cutting-edge design of these sophisticated vehicles and is ideally suited to engineers looking to specialise or to enter into this fast-paced industry.
Due to the explosive growth of the industry, unmanned aircraft systems designers are in high demand. This course has been created to provide graduate engineers with the skills and knowledge needed to design unmanned aircraft systems.
You will be taught by leaders in the field. The University has a strong reputation in autonomous systems with many world firsts including: SULSA, the first 3D printed plane and the first low-cost maritime surveillance UAV, 2SEAS.
Practical learning is a fundamental part of this one-year course. You will design, build and fly your own unmanned vehicle as part of a group design project. Visit the Design Show website to see examples of students' projects. We provide you with access to world-class facilities to put your design through mission validation including: a UAV test pilot base and dedicated flying site, state-of-the-art wind tunnels and rapid prototyping labs. You will also have the opportunity to study for a pilot’s licence.
Your core modules will give you a solid foundation of aerospace control systems and avionics. You will master design methodologies and put these into practice. Each semester, you can select specialist modules that are aligned to your interests.
The emphasis of the course is on the design of the vehicle, rather than the wider systems such as ground station and software associated with navigation and communications. The course will explore civil and commercial applications of unmanned systems. Although some of the teaching material may reference military technology, the course will not cover military, defence or weapon-specific systems.
In addition to group work, you will undertake an individual research project. Previous examples include the development of a hybrid vehicle and a multi-rotor automated Li-Po battery changer. Our students also benefit from our many industry partnerships and external contributors, including QinetiQ and Rolls-Royce.