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Smart, Connected and Autonomous Vehicles (MSc) (2020 Entry)

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  • Course Code
  • P-H1SE
  • Course Type
  • Postgraduate Taught
  • Qualification
  • MSc
  • Duration
  • Full-time: 1 year
  • Part-time: 3 years
  • Department of Study
  • WMG
  • Location of Study
  • University of Warwick


WMG at Warwick has established a legacy of leading automotive research in collaboration with industry. Smart, Connected and Autonomous Vehicles MSc aims to address the knowledge gap in machine learning, automated control strategies, connectivity, cyber-security protocols and much more.


With 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 and Control Systems. 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. This programme has extensive industrial support with the Industry Advisory Board consisting of Jaguar Land Rover (JLR) and RDM among others. This course is pending accreditation by the Institution of Engineering and Technology (IET) on behalf of the Engineering Council as meeting the requirements for Further Learning for registration as a Chartered Engineer. Candidates must hold a CEng accredited BEng/BSc (Hons) undergraduate first degree to comply with full CEng registration requirements.


Core Modules

  • Automotive Sensors and Sensor Fusion
  • Robust Automotive Embedded Systems
  • Networks and Communications for the Connected Car
  • Machine Intelligence and Data Science
  • Human-Technology Interaction
  • Technology Management
  • Programming and Fundamental Algorithms for Scientists and Engineers

Optional Modules

Students with considerable experience in Computing and Programming may request exemption from Programming and Fundamental Algorithms for Scientists and Engineers. This, and Technology Management may be replaced by alternative management focused modules, selected from the full list on the website.


Teaching

This course has two components – a taught component and a research component (dissertation) each accounting for 50% of your time and effort.

For the taught component, we blend lectures with workshops, practical exercises, demonstrations, case studies, problem classes, syndicate exercises, and a review. Each module is delivered intensively over one full week or two half weeks.

Class sizes are kept small with 20-25 students in each of the core modules. Elective modules may be delivered through larger scale lectures and backed up by seminar and syndicate activities.

Our module leaders have extensive industry experience. Guest speakers from industry also contribute regularly, bringing real-world insight into your learning experience.

Assessment

At the end of each module, you will be given a Post Module Assignment (PMA) based on the learning objectives of that module. This is a piece of assessed written work which should take around 60 hours to complete (or 110 hours for 15 credit modules). Many modules also have some in-module assessed work.

For the research component, each student undertakes a major individual project, which will develop your research and analytical skills and enable you to specialise. This project accounts for 50% of your overall credits and is submitted in the form of a dissertation of approximately 20,000 words, followed by an oral examination or viva at the end of the year.

Leveraging the close partnerships that WMG has with key organisations within the automotive supply chain, it is envisaged that your project will have an industrial sponsor and be closely aligned with overcoming a real-world problem in the areas of vehicle electrification and sustainability. Many of the projects will feed directly into larger research programmes and will require you to liaise directly with senior academics, researchers, and industry partners.


Minimum requirements Mid 2:ii undergraduate degree (or equivalent) in STEM subjects, particularly Electronics, Electrical Engineering, Control Systems, Computer Science, Communications, Physics, or Mathematics

English language requirements Band A
IELTS overall score of 6.5, minimum component scores not below 6.0

International Students
We welcome applications from students with other internationally recognised qualifications. For more information please visit the international entry requirements page.


For up-to-date information concerning fees, funding and scholarships for Home/EU and Overseas students please visit Warwick's Fees and Funding webpage.

Scholarships

The WMG Excellence Scholarship is a merit-based award open to offer-holders across all full-time WMG programmes. Over 50 scholarships ranging from 25% to 50% tuition fee discount will be awarded for 2020 entry.


Graduates from the MSc in Smart, Connected and Autonomous Vehicles 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.

Our department has a dedicated professionally qualified Senior Careers Consultant offering impartial advice and guidance together with workshops and events throughout the year. Previous examples of workshops and events include:

  • Warwick careers fairs throughout the year
  • Options in Engineering sector event
  • Careers for experienced hires
  • Careers in healthcare
  • Careers in project management

To apply for this course, visit our How to Apply page for the Department. We provide tips and specific requirements for your Statement of Purpose.

You will also be able to access the Application Form from there.

We will provide more information on your selected course before submitting your application.