Find out more about studying Electric Vehicle Systems (15 months) MSc at Brunel University of London? We've gathered all the key details, entry requirements, modules, fees, and more. Take the next step by booking an open day to explore it for yourself.
MSc - Master of Science
Brunel University of London
Full Time
Jan 2027
15 Month
This course has been designed to equip you with advanced knowledge of low-carbon electric vehicle systems and advanced battery technologies.You'll study in-depth the key areas of electronic and electrical engineering in relation to electric vehicle systems. These include power electronics and drives, vehicular communication systems, sustainable power systems, intelligent systems, and embedded systems which contributes to the design of electric vehicle charging infrastructure and converter topologies.You’ll develop the ability to critically evaluate methodologies, analytical procedures, and research methods in electric vehicle systems; the design of powertrains and battery management systems, intra and inter-vehicular communication systems; sensors and instrumentations for electric vehicles; and energy policies and electricity markets for electric vehicle development and deployment.During your degree, you'll have access to modern technical facilities including computer, electronics and power and control laboratories, where you'll work on practical laboratory-based exercises. The latest industry-standard engineering software packages are available for you to use in our purpose-built computer laboratories. You'll benefit from guest lectures delivered by industry professionals. You'll participate in conferences and deliver poster presentations on your research work. This allows you to network and exchange ideas with key engineering and technology experts.Our MSc Electric Vehicle Systems degree 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. This professional body ensures that your degree meets the academic requirement to qualify as a professional engineer.This course will equip you with the broad knowledge and skills relevant to the demanding and dynamic electric vehicle sector.Our closeness to the highest concentration of the UK’s electronics, information engineering, and telecommunications industry – in London and along the M4 corridor – means our careers network is second to none.
The aim of this module is to: 1. provide students with up-to-date knowledge in advanced vehicular technology; 2. develop knowledge and understanding of vehicular technologies with which enables inter- and intra- vehicle communications, and battery management.; 3. for students to be aware of relevant technical standards related to electric vehicle systems development.
The aims of this module are to develop students’ ability to: 1. critically analyse and design advanced power electronic circuits; 2. incorporate state-of-the-art power electronic circuits in electric vehicle machines and drives.
The main aims of this module are to develop the students ability to critically assess different models and theories associated with power markets, to recognise and resolve technical, economical and regulatory issues associated with the design and operation of electricity markets and evaluate various trading strategies, and to understand environmental consequences of the electrical energy supply and transmission.
The main aims of this module are to teach the students how to: 1. critically analyse and assess smart grid operation and management objectives and functionality; 2. Evaluate and review methodologies and algorithmic structures for operational control of sustainable electrical power systems.
This module aim to enable Engineering students to deal with legal, social, ethical and environmental issues and apply professional codes of conduct. Indicative content: ethics and legal aspects, risk and environment management systems, risk assessment and engineering failure methods and sustainability.
This module aims to provide experience in defining and organising, executing and evaluating a substantial individual in-depth investigation into a topic related to the appropriate wireless and computer communication networks and presenting the information in the form of a dissertation.
This module aims to enable students to focus on particular aspects of sensors, instrumentation and control through the use of real-world examples and hence to acquire knowledge and understanding of the characteristics of sensors and associated systems for monitoring and control, and the skills to evaluate, design and implement them.
This module will focus on advanced communication technologies and networks. Indicative contents: Network Basics: ISO/OSI Reference Model and TCP/IP Reference Model, Network layer operation: TCP/IP, Packet Scheduling and Delay, IP Quality of Services (QoS), Resource Reservation Protocol (RSVP), Integrated Service Model and Differentiated Service Model, Multi-Protocol Label Switching (MPLS), ATM Networks, Traffic Engineering IP Multicasting Mobile and wireless communication systems: Cellular system, Frequency reuse, 1st and 2nd generation systems, 2 and 2.5 G (GSM, GPRS, EDGE), UMTS-3G, (UTRAN, Core Networks, Handover, Power Control, Rake receiver), 4G (LTE – Advanced, S/P, IFFT, CP, P/S), 5G (Introduction, C-RAN, MIMO), ZIGBEE, UWB, Bluetooth. Ad-hoc and Mesh Networks: Introduction to mesh networks, power spectral efficiency and green radio, Mesh network Components, Ad-Hoc Routing protocols.
This module enable graduate to acquire an important aspect of future networks concentrating on cryptography and secure communication networks.
The aim of the module is equip students with topics in digital communication systems and Internet of Things (IoT) technologies. The indicative content includes, Coding and Compression, Modulation Schemes, Propagation and Channel Modelling, MIMO Systems, IoT Systems Architectures, IoT Physical Connectivity.
To develop in-depth knowledge and understanding of real-time signal processing, embedded DSP and FPGA system architectures and to develop students’ ability in to implement real time algorithms on embedded DSP processors for DSP or communication applications.
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