Electrical and Electronic Engineering MEng/BEng (Hons)

30 credits

This module comprises both theoretical and practical components. The theory is delivered in a series of lectures, and the practical involves you completing a series of laboratory sessions designed to reinforce the knowledge gained in the lectures.

The module starts by looking at electrical charge and how electricity is created, before moving on to examine passive components such as resistors, capacitors and inductors and how you behave in simple direct current (DC) circuits.

The second part of the module focuses on alternating current (AC). First, passive components are revisited, this time in basic AC circuits. The relationship between resistance, reactance and impedance; voltage, current and impedance; and reactive, true and apparent power are examined in the class and tutorial sessions. Simple circuits, containing combinations of resistors, capacitors and inductors are explored in the laboratory. The theoretical analysis of both DC and AC circuits is also explored.  Induction is introduced to support understanding of transformers, followed by an overview of AC generators and motors.

30 credits

Electronic circuit and system fundamentals play a vital role across many engineering disciplines. This module is designed to provide students a firm understanding of the principles of electronic circuits and systems including digital electronics. In this module, students will be introduced to the fundamental electronic components and their application in the design of electronic circuits and systems. Students 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. Module content is delivered through formal lectures, which are supported by laboratory sessions along with tutorials and additional support material available on virtual learning environment. The assessment is through coursework and an in-class test.

30 credits

This module provides you with a solid foundation in the core mathematical and computational skills required for modern engineering practice. You are introduced to key areas of engineering mathematics and shown how these are applied to the analysis and design of engineering systems. Alongside the mathematical content, you develop scripting and computational problem-solving skills using industry-relevant software tools such as MATLAB, Excel, and Python.

You learn the fundamentals of programming, including data handling, task automation, and algorithmic thinking, enabling you to implement mathematical methods effectively in software. Through practical examples and exercises, you gain experience in translating mathematical concepts into computational solutions. This computational skillset provides you with a strong foundation for future study in areas such as machine learning, artificial intelligence, and advanced engineering analysis.

30 credits

This module will introduce you to Future Skills through engagement with Navigate. You are guided to identify and take ownership of your personal academic journey by developing and applying academic skills aligned with Kingston University Graduate Attributes and your discipline-specific professional body learning outcomes.

You will first engage with the Navigate Programme and the Level 4 Personal Tutorial System (PTS) to explore and develop your academic and professional identity. You will be tutored in a range of learning-to-learn techniques and introduced to assessment for learning, along with the role of feedback, reflection, and feedforward as integrated parts of your learning journey. Through active participation in small-group discussions and discipline-focused tutorials, you will begin to understand and apply a design thinking approach to Future Skills development.

You will then learn about the operation and functionality of microcontrollers and explore techniques for connecting them to sensors and actuators, aiming to monitor and control simple closed-loop systems. You will gain practical experience in programming and developing microcontroller-based solutions, reinforcing your understanding of how these technologies are used in embedded system design.

30 credits

This module aims to equip students with the mathematical and control theory skills necessary for understanding and effectively applying engineering principles. The first part focuses on using mathematical tools to describe, analyse, and design engineering systems, particularly in electrical and electronic engineering, robotics, control systems, and signal processing. Students learn to apply mathematical techniques to solve practical engineering problems.

In the second half of the module, students will gain an understanding of the principles of control system engineering, including system modelling, stability, feedback, and the analysis of dynamic behaviour. Students will also learn how to apply control theory to solve feedback control problems and reinforce their understanding using MATLAB-based simulations and practical laboratory work.

The module content is delivered through formal lectures, supported by laboratory sessions, tutorials, and additional support materials available on the virtual learning environment. The assessment will be through coursework and examination.

30 credits

This course introduces you to the overall process of computer aided design of electronic equipment and systems. The electronic equipment development life cycle will be examined together with Printed Circuit Board (PCB) fabrication and surface mount technologies.

In this module, an appropriate software tool, such as KiCad, will be used to provide schematic entry, schematic library component management, electrical rule check and netlist generation. In the circuit analysis and simulation part, board-level design will be examined together with PCB design rules, computer aided board design, mechanical design, preparation of manufacturing documentation. Also, there will be design recommendations for circuits and equipment with special requirements.

30 credits

This module provides a dual focus on electrical systems and artificial intelligence (AI) in engineering. The first part explores electrical systems, covering electromagnetic theory, electric machines, power systems, and power electronics. Students learn to analyse and design electromagnetic devices, apply design rules, and understand limitations, with practical examples such as brushless DC machines. Key topics include power system stability, swing equations, the equal area criterion, and the operation of rectifiers and inverters. The second part introduces AI fundamentals, highlighting its growing role in engineering. Students gain insight into using AI to solve engineering problems, laying the groundwork for future applications in areas like robotics and automation. The module also fosters employability by developing teamwork and presentation skills, preparing students for diverse roles in electrical and electronic engineering. 

30 credits

The Future Skills Explore Learning Outcomes are delivered in this module. It has been designed to scaffold Future Skills from Level 4 Navigate to Level 6 Apply. The Explore Experience will give you at least 8 hours of industry relevant experiential learning that explicitly develops your Future Skills Graduate Attributes.

The first part focuses on engineering project management principles, addressing constraints such as quality, time, risk, and sustainability. You will build professional competencies, including teamwork, communication, critical reflection, and time management, while engaging in an interdisciplinary design thinking project. This collaborative challenge enables you to apply subject-specific knowledge and prepare you for your Level 6 individual project.

The second part introduces theoretical and practical aspects of instrumentation and measurement in electronic engineering. You will learn the concepts, terminology, and techniques for accurate measurement, including the use of sensors for temperature, pressure, position, stress, and strain, as well as understanding measurement uncertainty. These skills and knowledge will prepare you to be broadly industry-ready, significantly enhancing your employability prospects.

30 credits

The BEng Project is a capstone module that enables you to integrate and apply the knowledge, skills, and professional behaviours developed throughout your engineering programme. Working independently under academic supervision, you identify, justify, and investigate a significant engineering problem or opportunity. The module requires the development of a well-structured project proposal, incorporating a clear rationale, literature review, technical objectives, and a realistic plan of work. You then design, implement, and evaluate an engineering solution using appropriate analytical, simulation, experimental, or design methodologies. Emphasis is placed on innovation, critical thinking, project management, ethical practice, and the effective use of modern engineering tools. The project culminates in a comprehensive technical report and an oral presentation, through which you demonstrate your technical competence, communication skills, and readiness for professional engineering practice or postgraduate study.

30 credits

This module provides an in-depth understanding of the fundamental principles of communication, networks, and signal processing, combining technical knowledge with practical applications to build both analytical and employability skills.

Core topics include electronic communications, fibre optics, data communications, advanced digital signal analysis, filter design, Fourier analysis, spectral estimation, wavelet transforms, and time-frequency analysis.

You also explore real-world applications of digital signal processing in areas such as audio and image processing. Practical implementation and simulation exercises using software tools like MATLAB and/or Python allow you to apply theory to practice while developing digital competency, adaptability, and collaboration skills.

The module content is delivered through formal lectures, laboratory practicals, tutorials, and online learning resources, encouraging both technical expertise and research-driven inquiry. It enhances interpersonal and presentation skills, alongside critical thinking, problem-solving, and resilience, preparing you to address complex engineering challenges.

15 credits

This module gives you a dedicated opportunity to develop your Future Skills Graduate Attributes. 

At the start of the module, you will be supported to self-assess your current skills profile. You will determine which attributes and skills you need to develop to support your career ambitions. In this process, you will be supported by a dedicated career coach, helping you explore a range of options that includes self-employment/freelancing, starting your own business, higher level study, and other professional graduate-level opportunities. Throughout the module, you will be given opportunities to engage with external mentors, to support reflection and to develop a professional network.

You will undertake a tailored series of activities and projects, aligned to your goals, from a menu of development options. This could include short courses, enrichment activities and experiential learning options such as micro-placements. You will also be able to reflect on activities outside the University that develop your graduate attributes, such as work or volunteering.

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.

30 credits

This module enhances students’ technical expertise by embedding sustainability as a key responsibility in engineering practice. It explores environmental, ethical, and economic challenges across a product’s lifecycle - from design to disposal - emphasising the societal and planetary impact of engineering decisions. Students learn to integrate sustainable approaches into real-world solutions and examine renewable energy technologies and their growing role in engineering.

The module also introduces robotics fundamentals, including actuators, sensors, and manipulators, with hands-on programming projects that build digital and technical skills. These experiences support UN Sustainable Development Goal 9 (Industry, Innovation, and Infrastructure) by fostering innovation and entrepreneurial thinking. Collaborative activities further develop adaptability and resilience.

Overall, the module contributes to Goals 4, 5, 7, 11, and 12 by promoting quality education, gender equality, clean energy, sustainable communities, and responsible production, equipping students to optimise resources and reduce waste across industries.

30 credits

The module starts with examining power system analysis with a focus on the steady state behaviour of power systems. It will introduce analysis power flow and fault in small and large power systems and undertake numerical modelling of system performance using advanced software tools. Additionally, it introduces the concept of frequency control and regulation in interconnected power systems. 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 second part of the module, electrical power system operation, control, design and economic analysis of the electrical power systems will be analysed and simulated using numerical methods. It deals with modern power system operational and control problems and associated advanced solution techniques. The power control of high voltage electrical system will be undertaken using load flow analysis and stability modelling and control.

30 credits

The module introduces fundamental concepts and methods in autonomous systems and discusses their applications in smart mechatronic systems. Student are exposed to applications related to autonomous systems. Furthermore, the module provides mathematical tools to analyse the dynamic behaviour of a mobile autonomous system, e.g., a UAV.

The module is taught in a project-based practical fashion and therefore some knowledge of a programming language is required.

30 credits

This module provides a high-level and practice-oriented view of automation system design, examining the applications, and types of automation systems used across modern industries. Theoretical concepts are complemented by practical laboratory sessions focused on real-time system design using industrial-standard, state-of-the-art equipment, enabling you to gain hands-on experience with professional tools and workflows.

Building on this foundation, the module also introduces fundamental concepts and methods in Machine Learning and explores your integration into smart mechatronic systems. You are introduced to classical ML techniques before progressing to advanced, state-of-the-art AI approaches, with some prior programming knowledge recommended to fully engage with the practical elements.

Through its combined focus on automation, ML, and real-world applications such as autonomous driving, the module develops strong digital competency, creative problem-solving, and adaptability. It fosters a questioning mindset, collaboration, resilience, and self-awareness, while the transferable skills gained directly support your project work.

30 credits

The MEng Team Project is a module which runs throughout the final year of the MEng programme. It provides a capstone element to the course by providing you an opportunity to work on a major engineering design problem in a team, in a way which closely parallels a real-world project.

The groups are assigned to a particular project which has an outline project description, specification, or customer requirements provided by the teaching team. It is the group's job to develop the specification in detail, to convert it to a technical specification and then carry out the tasks necessary to complete the project.

This module provides an opportunity for you to further develop academic skills delivered earlier in the programme. In order to successfully complete the module, you must establish a plan and work schedule, perform the technical tasks necessary to fulfil the plan, monitor progress, manage the team activities, hold and minute formal team design meetings, and resolve any problems that arise.

The module is delivered primarily through weekly formal design meetings and regular informal meetings.