Electrical and Electronic Engineering MEng/BEng (Hons)
Why choose this course?
Embark on an exciting journey into the dynamic realm of Electrical and Electronic Engineering, enhanced by the power of Artificial Intelligence. This highly sought-after field addresses some of the most pressing challenges facing society today. As a student on this course, you will not only gain the skills and expertise needed to tackle these issues, but you can also make a global impact by shaping a better future.
Our innovative course is designed to equip you with the Future Skills to thrive in the fast-paced world of technology. You will master the art of harnessing artificial intelligence and other cutting-edge technologies to design, develop and implement intelligent electrical and electronic systems. As a result, you will contribute to ground-breaking solutions that positively influence society and pave the way for a brighter tomorrow. Our course prepares you for an array of exciting career paths, ensuring you are ready to capture the boundless opportunities offered by the Fourth Industrial Revolution.
Embrace the UN Sustainable Development Goals and actively contribute to a sustainable future for all. Our course curriculum is thoughtfully crafted to integrate these goals, empowering you to incorporate them into your professional work and make a meaningful difference. Our course caters to the needs of diverse communities and is taught by experienced academics from diverse backgrounds. This unique learning environment allows you to engage with people from different cultures and perspectives, fostering a truly global outlook and enriching your educational experience.
| Qualification | Attendance | UCAS code | Year of entry |
|---|---|---|---|
| MEng | 4 years full time | H603 | 2025 |
| MEng | 5 years full time with professional placement | H604 | 2025 |
| BEng (Hons) | 3 years full time | H600 | 2025 |
| BEng (Hons) | 4 years full time with professional placement | H601 | 2025 |
Please note: Teaching on this course may take place on more than one KU campus.
| Main Location | Roehampton Vale |
Reasons to choose Kingston University
- Engage in a hands-on and project-based learning experience that builds a solid foundation in the core principles of electrical and electronic engineering, equipping you with the knowledge and skills sought after by the fast-paced industrial, commercial and domestic sectors.
- Apply cutting-edge techniques to real-world electrical and electronic design challenges, gaining invaluable practical experience while deepening your understanding of the latest industry trends and innovations.
- Dive into a wide range of applications, encompassing artificial intelligence, communication systems, control systems, power electronics, embedded systems, signal processing, robotics, instrumentation, electric vehicles and renewable energy.
- Collaborate with fellow students from diverse cultural, social and professional backgrounds in team-based projects, fostering a deeper appreciation for diversity, honing your ability to navigate varied perspectives, and nurturing an inclusive mindset vital for future engineering professionals.
What you will study
Year 1
Year 2
Year 3
Year 4 - MEng only
In Year 1, you will establish a strong foundation in mathematics, physics, circuits and programming, gaining an understanding of the fundamental principles of electrical and electronic engineering.
Modules
Navigate for the Professional Engineer
15 credits
In this module, we prioritise the development of professional and personal skills, recognising their crucial role in your overall growth. These skills are seamlessly integrated into our curriculum, providing you with authentic opportunities to apply them.
Additionally, we delve into employability skills within the Personal Tutorial System (PTS), encouraging you to explore how these skills can be honed both horizontally across your Level 4 modules and vertically as you advance towards graduation. This will be supported through active engagement in the KU Navigate Programme enabling students to understand and begin to develop a design thinking approach to Future Skills development. Through practical application and thoughtful reflection, you'll have the chance to develop a well-rounded skill set that aligns with the demands of the professional world.
Engineering Mathematics
15 credits
The aim of this module is to provide the basic mathematical skills for engineering students that are essential for effective understanding of engineering subjects. The topics introduced will serve as basic tools for studies in many engineering subjects. Students will be empowered to understand and be able to use the language and methods of mathematics in the description, analysis and design of engineering systems. The emphasis is on using mathematical tools to solve engineering problems.
Electrical Engineering Principles
15 credits
This module offers a comprehensive approach to the study of electrical circuits, combining both theoretical knowledge and practical application. In the laboratory sessions, you will work on simple circuits containing combinations of resistors, capacitors and inductors. The module also covers the topic of transformers, revisiting induction, and concludes with the theoretical aspects of generators and motors, along with machines.
Overall, this module provides a balanced blend of theory and hands-on practice, giving you a solid understanding of electrical circuits and their practical applications.
Programming for Engineers
15 credits
This module will introduce you to scripting in one of the most popular programming languages in industry, which is widely used for data processing, automation of tasks and more recently for machine learning (ML) and artificial intelligence (AI) specifically in the engineering industry.
The module has been designed to cover all the fundamentals of programming. It provides a valuable transferrable skill set that can be fed forward to provide the essential skills needed for scripting in other computer languages in further modules. It also provides the crucial foundations for you to investigate applications involving both ML and AI as you progress through the course.
Electronic Circuits and Systems
30 credits
Electronic circuit and system fundamentals play a vital role across many engineering disciplines. This module will provide you with a firm understanding of the principles of electronic circuits and systems including digital electronics. You will be introduced to the fundamental electronic components and their application in the design of electronic circuits and systems. You will also learn to analyse various types of electronic circuits and systems. This module encourages the use of simulation tools for the design and analysis of electronic circuits and systems to enhance analytical as well as employability skills.
Microcontrollers and Interface Electronics
30 credits
This module will introduce you to both the operation and functionality of microcontrollers and the techniques used to interface them to sensors and transducers, with the aim to monitor and control a closed loop system. Interface circuitry, operation of sensors and actuator control is covered in depth, along with the inclusion of devices to extend the number of analogue and digital port lines on a microcontroller.
The information gained on this module can be fed forward to other modules; it will also be invaluable in industry when undertaking a job after graduating that involves mechatronics and embedded system design.
Building upon the fundamental principles of electrical and electronic engineering, in Year 2 you will delve deeper into areas such as electronics, signal processing and control systems, further expanding your understanding of electrical and electronic engineering concepts.
Modules
Numerical Analysis and Computing
15 credits
This module will equip you with fundamental mathematical skills that are crucial for comprehending engineering subjects effectively. The topics covered in the module will serve as fundamental tools for studying various engineering subjects. You will be empowered to comprehend and use the language and techniques of mathematics in describing, analysing, and designing engineering systems. The primary focus is on using mathematical tools to resolve engineering problems, especially on mechanical systems, robotics, control systems, and signal processing.
Instrumentation and Measurement
15 credits
The module will provide you with theoretical knowledge to understand the concepts and language relating to the use of instrumentation for measurement, as well as the practical skills to use instrumentation for a range of measurement tasks.
The module also familiarises you with some common sensors used for temperature and pressure measurement, the most common measurands, and techniques for measuring sound level, speed, position, flow rate, stress and strain.
The important area of uncertainty in measurements is also covered, as well as traceability of measurement back to the national standards, noting the significant legal implications of this. These skills and knowledge will prepare you to be broadly industry-ready, significantly enhancing your employability prospects.
Exploring Engineering Project Management
15 credits
This core module is essential for Level 5 engineering students. It focuses on developing professional skills and bridging the gap between Future Skills development in Level 4 and practical application in Level 6. It explores engineering project design and management, emphasising constraints such as quality, time, risk, and sustainability.
On this module, you will develop teamwork, critical thinking, communication, time management, and organisational skills. The module includes an interdisciplinary design thinking project to address a sustainability challenge, contextualising subject-specific knowledge. The integrated Level 5 Personal Tutorial System (PTS) facilitates discipline-focused discussions, critical thinking, and employability reflections.
Analogue Electronics and Digital Systems
15 credits
Due to the rapid pace in technological advancements, electronic systems now play a vital role across many engineering disciplines. In this module you will be introduced to the fundamental principles of electronic system design and the building blocks currently being used.
The module will build on the knowledge gained in Level 4 electronics teaching to provide insight into more complex devices and methods for the creation and testing of electronic circuits and digital systems.
Upon successful completion of this module the knowledge and skills gained will prove invaluable, given the numerous and various application requirements of electronic systems in all areas of the engineering industry.
Artificial Intelligence and Control Systems
30 credits
This module is designed to provide you with a comprehensive understanding of the fundamentals of control systems and how artificial intelligence (AI) can enhance the performance of a control system.
You will learn how to model and analyse the behaviour of dynamic control systems. You will apply control theory to solve feedback control problems and will learn the concepts of AI approaches used in control systems. MATLAB is used to reinforce the concepts learned in the module through software simulation.
This technical-content-rich module enhances analytical as well as employability skills across many engineering disciplines.
Computer Aided Electronic Design
30 credits
This course introduces you to the overall process of computer-aided design of electronic equipment and systems. The electronic equipment development and life cycle will be examined together with Printed Circuit Board (PCB) fabrication and surface mount technologies. The module uses Altium Designer to provide schematic entry, schematic library component management, electrical rule check and netlist generation. In the circuit analysis and simulation, Board level design will be examined together with PCB design rules, computer aided board design, mechanical design, preparation of manufacturing documentation.
In Year 3, you will explore advanced topics including digital signal processing, power systems, communication systems and advanced electronics, gaining a comprehensive understanding of these specialised areas and their applications. MEng students will continue to deepen their knowledge in areas such as power systems and circuit design.
Modules
Applied Business Management
15 credits
This module focuses on students' ability to apply and demonstrate their developing professional skills in their chosen field, while also fostering a broad understanding of the business environment in which professionals operate. It will enhance students' technical, management, and interpersonal competencies within a team setting, preparing them for employment and entrepreneurial endeavours.
As part of this module, students will actively engage in Kingston University's Bright Ideas competition, collaborating as a team to develop a business concept of their choice. This will involve interacting with external stakeholders beyond the university setting.
Furthermore, students will be encouraged to connect with professional and learning communities outside the University, reflecting on these interactions. This may involve participation in co-curricular events, such as subject-specific and career development sessions, networking opportunities facilitated by professional bodies, exploration of pathways to professional chartership or membership, leveraging interactions with professionals for their final-year research project, and recognizing the mutual benefits of these interactions.
Through these activities, students will gain practical experience, expand their professional networks, and cultivate a deeper understanding of their future career pathways.
Advanced Microcontrollers
15 credits
This module is designed to develop, refine and apply both the ideas introduced, and proficiency gained in previous level 4 and 5 modules that involved electronics, control and software. It enables students to identify and develop skills in the solution of problems relating to the creation of mechatronic systems and robotic automation. Students are introduced to the techniques and knowledge required to design and embed microcontrollers, linked to a range of sensors and actuators, into a system to sense, process, control and display real world events, similar to those encountered within an industrial engineering, or commercial environment. The module covers topics such as advanced programming, state-of-the-art sensors and actuators, data logging, microcontroller selection and use of commercial shields (expansion boards) as building blocks to extend system functionality using a modular approach to the design process.
Digital Signal Processing
15 credits
In this module, students will delve into the fascinating world of digital signals, gaining the knowledge and skills to represent, analyse, and manipulate them effectively. The module strikes a balance between theoretical foundations and hands-on practical work, employing MATLAB and programming as key tools for exploration.
The primary aim of this module is to equip students with the necessary understanding to analyse and manipulate digital signals, while also preparing them for real-world implementations using digital signal processors. Through engaging with theoretical concepts and practical exercises, students will develop a solid foundation in DSP principles.
Power Systems
15 credits
This module aims to provide the background necessary to investigate and analyse the steady state and dynamic behaviour of power system which enables the analysis, modelling and design of power systems. An introduction to modelling of a range of power systems will be undertaken using commercial software for power systems analysis tools. The function protection system, design criteria of protection systems, components of protection systems, zones of protection, protection schemes. It will also include the design of primary and backup protection, transmission line protection, busbar protection, transformer protection, generator protection, protection of industrial power systems and fuse selection.
Deep Learning for Wireless Networks and Communications
30 credits
This module aims to provide students with an in-depth understanding of the fundamental principles of wireless communication and networks. In addition, it will equip the students with the knowledge of the application of deep learning techniques to improve performance of wireless communication networks. The module will cover fundamental concepts of wireless networks, communication, and how deep learning techniques can be applied to optimise wireless communication networks. Students will also explore current research and industry developments related to the deployment of deep learning in wireless networks and communication. This technical as well as research-informed module will enhance students' analytical and employability skills. Additionally, it provides students the opportunity to enhance their research, interpersonal and presentation skills.
Individual Project
30 credits
The individual project module forms a capstone experience for the courses within the School, allowing the students to research and study in detail a topic in their chosen field of study which is of personal interest. Professionally the project module allows the students, to show high levels of responsibility and organisational capability (through arranging meetings with supervisors, setting project goals and meeting appropriate deadlines) as well as demonstrating effective communication with others. Furthermore, the module encourages the students to recognise, question and deal with the ethical dilemmas that are likely to occur in research and professional practice.
Furthermore, this module provides the students with an opportunity to further enhance their independence and employability skills which industry is looking for in perspective graduates, especially those seeking professional recognition as a Chartered Engineer.
The final year of the MEng course focuses on synthesising knowledge and skills acquired throughout the programme. Students will engage in project work, advanced design and undertake specialised modules in areas such as robotics, renewable energy and embedded systems, preparing them for professional practice or further research. A strong emphasis is on independent learning, as well as an industrially focused team-based project.
Modules
Engineering and Business Resource Management
15 credits
This module focuses on using advanced management techniques, including simulation and business modelling, in an engineering company to maximise the utilisation of its finite resources in order to become more competitive. These techniques include discrete event simulation, business modelling, linear programming, and human resources optimisation, with the main aim to improve the company's overall operational efficiency, competitiveness and profit.
The intended module topics cover both local and global horizons of running a successful business by teaching companies they may benefit from using simulation techniques in streamlining their operations and resource deployment through a benchmarking process. Through extensive hands-on practical, you will learn how to use sophisticated simulation software to improve resources utilisation in different business scenarios.
Throughout the module, you will learn not only the theoretical techniques of management skills, but also to apply the knowledge you gain and evaluate the results through developing complex business simulation models, therefore enhancing your employability potentials.
Electrical Engineering and Power Control
15 credits
This module focuses on the intricate aspects of electrical power system operation, control, design, and economic analysis, including renewable energy integration. Through the use of numerical methods, students will analyse and simulate power systems, incorporating advanced power control strategies. Students will explore topics such as state estimation, contingency analysis, load-frequency control, and automatic generation control. Additionally, they will delve into power control for high voltage electrical systems, employing load flow analysis, stability modelling, and control techniques. By mastering these advanced concepts and techniques, students will be equipped with the skills and knowledge to contribute to the design, optimisation, and efficient operation of power systems, enabling them to make a meaningful impact in the energy industry.
Integrated Circuit Design
15 credits
This module introduces design and layout of VLSI circuits and systems making use of appropriate computer-aided design (CAD) tools. The primary objective of this module is to equip students with a comprehensive understanding of CMOS cell operation and the ability to design basic analogue and digital functions commonly used in ICs, as well as mixed-signal systems. The module places special emphasis on the importance of designing both analogue and digital functions. Students will be introduced to various CAD tools commonly used in industry for designing and simulating CMOS circuits, such as Cadence Virtuoso, Spectre, Synopsys Design Compiler. Students will have the opportunity to use these tools in practical design projects to gain hands-on experience in designing and simulating CMOS circuits using industry-standard tools.
Advanced Power Systems
15 credits
In this module, analysis of power system dynamics will be undertaken and encompass the behaviour of power systems under conditions such as sudden changes in load or generation, or during faults. It will also explore the design and operation of the controls available to maintain power system stability. The module aims to achieve competency in using analytical methods for understanding the design and operational behaviour of electrical power systems under steady-state and transient conditions.
Design of Autonomous Systems
30 credits
This module offers a comprehensive exploration of concepts and methods in autonomous systems and their applications in smart mechatronic systems. Students will gain valuable insights into real-world applications related to autonomous systems, providing a bridge between theory and industry. One key aspect of the module is the provision of mathematical tools for analysing the dynamic behaviour of mobile autonomous systems, such as unmanned aerial vehicles (UAVs). Through a project-based approach, students will engage in hands-on, practical learning experiences including becoming proficient in programming which is essential for successfully navigating the module and bringing autonomous systems to life. With a focus on industry relevance and practical applications, this module paves the way for students to become adept at shaping the future of autonomous systems.
Department of Electrical, Electronic and Robotic Engineering
Future Skills
Knowledge to give you the edge
Embedded within every course curriculum and throughout the whole Kingston experience, Future Skills will play a role in shaping you to become a future-proof graduate, providing you with the skills most valued by employers such as problem-solving, digital competency, and adaptability.
As you progress through your degree, you'll learn to navigate, explore and apply these graduate skills, learning to demonstrate and articulate to employers how future skills give you the edge.
At Kingston University, we're not just keeping up with change, we're creating it.
Entry requirements
Teaching and assessment
Scheduled learning and teaching on this course includes timetabled activities including lectures, seminars and small group tutorials.
It may also include placements, project work, workshops, workshops in computer labs, and laboratory workshops.
Who teaches this course?
The course team comprises highly-experienced staff members who possess extensive knowledge in both research and industry. Our dedicated academic staff continue to actively engage in cutting-edge research and maintain strong connections within their respective disciplines, ensuring that the curriculum remains up-to-date, relevant, and informed by the latest industry developments.
As a student on this course, you will have the opportunity to learn from these world-class academics, benefiting from their wealth of experience and expertise. Our supportive community, which includes not only our accomplished academics but also skilled technicians and attentive administrative staff, is fully committed to helping you succeed in your educational journey.
Your learning experience will be enhanced through the participation in competitions such as the IMechE Formula Student project, the IMechE Design Challenge competitions for Years 1 and 2 students, the Isle of Man TT-Bike race and the Caterham Academy Championship.
Postgraduate students may run or assist in lab sessions and may also contribute to the teaching of seminars under the supervision of the module leader.
Facilities
There is a wide range of facilities for practical work at our Roehampton Vale campus, where this course is based.
Our applied approach to teaching is supported by dedicated laboratories, including state-of-the-art facilities for rapid prototyping and manufacturing, a fully equipped materials laboratory, and a modern electronics and robotics lab. Our labs have recently been enhanced with the addition of robot and electronic equipment, providing students with access to the latest technologies and tools.
You will have access to a modern environment with the latest technology and industry-standard equipment, including:
- electronics and robotics labs
- 3D design studio and workshop
- mechanical engineering workshop
- rolling roads
- automotive testing facilities
- a Lotus Exige
- cars and motorcycles built by engineering students.
The recently enlarged library at Roehampton Vale provides collections of specialist engineering books and journals.
The £4 million Hawker Wing provides three floors of extra space for students and staff at Roehampton Vale, including improved learning and teaching facilities.
Course fees and funding
Work placement year
How you can work in industry during your course
Why take a placement? Work placements have many benefits:
- Providing work experience that is relevant to your course and future career
- Improving your chances of graduating with a higher grade degree
- Enhancing your CV
- Can lead to a graduate job
- Can enable you to earn a year's salary whilst studying (the vast majority of placements are paid)
-
Can help you select your final-year project.
"To be successful, tomorrow's leaders will need to be far more rounded individuals than ever before. They will collaborate in pursuit of shared goals. They will guide, challenge and support...They will have an appetite for change and a hunger for continuous improvement, and they will have an ethos of learning and development..."
Jeremy Darroch, Former Chief Executive, Sky
"Doing a placement year effectively gives you one foot in the door of a future job and to stand out from the crowd... as well as enhancing my CV... and future interviews. It's a great motivator to be successful in my studies as it only serves to open even more doors and gain more skills."
Placement student at Jagex Games Studios Ltd
- 81% of placement students and 34% of non-placement students got a first or 2.1 (Faculty of Computing, Information Systems and Mathematics, 2008).
- 100% of placement students during 2008 recommend doing a placement (Faculty of Computing, Information Systems and Mathematics, 2008).
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Many employers offer a graduate job to their successful placement students.
There is a lot of support available for students looking to secure a placement (e.g. a jobs board with placement vacancies, help with writing CVs and mock interviews). Getting a placement and passing the placement year are ultimately the student's responsibility.
For further information please contact the Placements Team by telephone 020 8417 2969 or email secplace@kingston.ac.uk.
Examples of placements
Placements can be with large multinational companies, international companies, local companies and small start-ups; offering a diverse range of posts. Here are some examples of employers and roles:
|
Construction-based placement employers |
Construction-based placement roles |
|---|---|
|
RG Group |
Assistant site manager |
|
Science-based placement employers |
Science-based placement roles |
|
Reckitt and Benckiser |
Bioanalytical sciences |
|
Engineering-based placement employers |
Engineering-based placement roles |
|
Airbus |
Analysis of aircraft structure |
|
Computing and IS based placement employers |
Computing and IS based placement roles |
|
Disney |
Database co-ordinator |
|
Mathematics-based placement employers |
Mathematics-based placement roles |
|
Lloyds Banking Group |
Analyst |
Key information set
The scrolling banner(s) below display some key factual data about this course (including different course combinations or delivery modes of this course where relevant).
Course changes and regulations
The information on this page reflects the currently intended course structure and module details. To improve your student experience and the quality of your degree, we may review and change the material information of this course. Course changes explained.
Programme Specifications for the course are published ahead of each academic year.
Regulations governing this course can be found on our website.
