Smart, Connected and Autonomous Vehicles
Basic Information
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f78ad16e-7e9c-4123-b9bb-8b03958bcf67- Option ID
9b7021d5-4f32-4600-8f0c-e11d3773c835- Provider
- University of Warwick
- Type
- postgraduate
- Academic Year
- 2026
- Source
- ucas
- Created
- 2/26/2026, 12:58:33 AM
- Updated
- 3/29/2026, 6:40:06 PM
Other Options for this Course
No other options
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"modules": "**Core modules**\nCore modules are required modules that all students will complete whilst on this programme. For Smart, Connected and Autonomous Vehicles (SCAV), your core modules are:\n\n- Fundamentals of Automotive Research, Development, and Management\n- Automotive Sensors and Sensor Fusion\n- Robust Automotive Embedded Systems\n- Networks and Communications for the Connected Car\n- Machine Intelligence and Data Science\n- Human-Technology Interaction\n\n**Optional modules**\nAlongside the core modules listed above, you will choose one elective. The available options will be confirmed at the start of the academic year, but an illustrative list is provided below. Please note that these options may be subject to change.\n\n- Programming and Fundamental Algorithms\n- Automated Systems and Control",
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"suggest": "Smart, Connected and Autonomous Vehicles. University of Warwick. Technology. Automotive engineering. Motor vehicle engineering. Engineering technology. Computer networking. Electronics. Data communications. Electrical engineering",
"summary": "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.\n\n**Course Overview**\nWith 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. \n\nThrough 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. Our unique experimental facilities on campus, including the National Automotive Innovation Centre (NAIC), enable academic and industry practitioners to work together to overcome key, strategic challenges in the automotive sector and develop future vehicles and mobility solutions.\n\nThis programme has extensive industrial support with the Industry Advisory Board consisting of Jaguar Land Rover (JLR) and RDM and other industrial stakeholders. The course receives project and teaching support from a number of additional companies including: ON semiconductor, National Instruments, AVL, IPG Automotive, Lumerical, Shell, CRA Risk Analysis, Konrad Technologies and Jaguar Land Rover. The industry input helps to ensure that the course remains closely aligned with the needs and requirements of the sector, including the skills and knowledge that our graduates need to succeed in their careers.\n\nThis course is accredited 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.\n\n**This information is applicable for 2026 entry. Given the interval between the publication of courses and enrolment, some of the information may change. It is important to check our website before you apply.** ",
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