Overview
The MSc in Smart, Connected and Autonomous Vehicles at the University of Warwick is a cutting-edge programme tailored to meet the burgeoning demands of the automotive industry. As we stand on the brink of significant advancements in vehicle technology, this course is designed to bridge critical knowledge gaps in areas such as machine learning, automated control strategies, connectivity, and cybersecurity protocols. The automotive sector is undergoing a transformative phase, necessitating a robust technical infrastructure to support the anticipated surge in smart vehicular functions and driverless technologies. This programme addresses these challenges by providing a comprehensive understanding of the technology required to ensure the reliability and dependability of electronics, communications, and control systems.
Led by the renowned Warwick Manufacturing Group (WMG), this master's course boasts extensive industrial backing. The Industry Advisory Board includes key players such as Jaguar Land Rover (JLR) and RDM, ensuring that the curriculum is closely aligned with industry needs. Collaborations with additional companies like ON Semiconductor, National Instruments, and Shell further enhance the learning experience, providing students with insights into real-world applications and challenges in the automotive landscape.
The course is structured to include a blend of theoretical knowledge and practical application. Students will engage in a variety of learning methods, including lectures, workshops, case studies, and hands-on projects. The unique facilities at Warwick, such as the National Automotive Innovation Centre (NAIC), provide an environment where academic and industry practitioners can collaborate to tackle strategic challenges in the automotive sector. This hands-on approach is crucial for developing future vehicles and mobility solutions.
Why Smart, Connected and Autonomous Vehicles at the University of Warwick?Warwick is consistently ranked among the top universities in the UK and globally, recognised for its academic excellence and innovative research. The university's commitment to providing a gold-standard education is reflected in its high ratings across various assessments, including student experience and research quality. The collaborative environment at WMG fosters partnerships with industry leaders, ensuring that students gain relevant skills and knowledge that are in high demand.
Tuition Fee BreakdownThe tuition fees for the MSc in Smart, Connected and Autonomous Vehicles are as follows:
- National Fee: £12,300 per year
- International Fee: £35,340 per year
Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe programme includes a comprehensive set of core modules, which all students must complete:
- Fundamentals of Automotive Research, Development, and Management
- Automotive Sensors and Sensor Fusion
- Robust Automotive Embedded Systems
- Networks and Communications for the Connected Car
- Machine Intelligence and Data Science
- Human-Technology Interaction
Students will also have the opportunity to select an elective module to deepen their understanding of specific areas. Options may include Programming and Fundamental Algorithms or Automated Systems and Control.
Careers with Smart, Connected and Autonomous VehiclesGraduates of this programme will possess a thorough understanding of the various factors influencing the performance and reliability of connected and autonomous vehicles. They will be well-prepared for careers in research and development, with opportunities to work in various sectors, including automotive engineering, cybersecurity, and project management. The department provides dedicated career support, offering workshops and events that connect students with potential employers in the automotive industry and beyond.
Programme Structure
Courses include:
- Automotive Research, Development, and Management
- Automotive Sensors and Sensor Fusion
- Robust Automotive Embedded Systems
- Networks and Communications for the Connected Car
- Machine Intelligence and Data Science
- Human-Technology Interaction
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before , International
-
Language
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Credits
Delivered
Campus Location
- Coventry, United Kingdom
Disciplines
Automotive Engineering Data Science & Big Data Human Computer Interaction View 408 other Masters in Data Science & Big Data in United KingdomWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
2:1 undergraduate degree (or equivalent) in STEM subjects, particularly Electronics, Electrical Engineering, Control Systems, Computer Science, Communications, Physics, or Mathematics.
Candidates with a UK 2:2 (or equivalent) may be accepted upon demonstration of relevant professional experience.
Tuition Fees
-
International Applies to you
Applies to youNon-residents37460 GBP / year≈ 37460 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents13040 GBP / year≈ 13040 GBP / year
Living costs
Coventry
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Smart, Connected and Autonomous Vehicles.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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