Robotic Engineering and Artificial Intelligence MEng/BEng (Hons)

Why choose this course?

Robotic Engineering and Artificial Intelligence stand at the cutting edge of technological progress to address some of the most pressing challenges facing society today, encompassing innovations such as industrial robotic arms, autonomous vehicles, aerial drones and space robots. As a student on this course, you will acquire the vital skills and knowledge required to tackle these intricate challenges, opening up a world of possibilities at the intersection of these two potent fields, and ultimately making a significant impact on a global level.

Our hand-on course equips you with the Future Skills needed to thrive in the rapidly evolving technological landscape. Discover how to harness the power of artificial intelligence and other state-of-the-art technologies to design and develop intelligent systems and contribute to the development of innovative solutions that can make a positive impact on society. The course will prepare you for a career in a wide range of fields and ensure that you are well-positioned to take advantage of the opportunities presented by the Fourth Industrial Revolution.

Embrace the UN Sustainable Development Goals as a guiding force for a sustainable future for all. In this course, you will learn how to integrate these goals into your professional endeavours, actively contributing to their achievement. Our diverse and inclusive curriculum, crafted to meet the needs of varied communities, is delivered by academics from diverse backgrounds. This unique learning experience allows students to engage with people from different cultures and perspectives, enriching their understanding and broadening their horizons.

Course Attendance UCAS code Year of entry
Robotic Engineering and Artificial Intelligence MEng 4 years full time H903 2024
Robotic Engineering and Artificial Intelligence MEng 5 years full time including sandwich year H904 2024
Robotic Engineering and Artificial Intelligence BEng (Hons) 3 years full time H900 2024
Robotic Engineering and Artificial Intelligence BEng (Hons) 4 years full time including sandwich year H901 2024
Location Roehampton Vale

Reasons to choose Kingston University

  • Engage in a hands-on learning experience that builds a solid foundation in the core principles of robotic engineering and applied artificial intelligence, equipping you with the knowledge and skills sought after by the fast-paced industrial, commercial and domestic sectors.
  • Apply cutting-edge techniques to tackle real-world robotics challenges using artificial intelligence, gaining invaluable practical experience while deepening your understanding of the latest industry trends and innovations.
  • Dive into a wide range of applications, encompassing robotics, autonomous systems, artificial intelligence, machine learning, computer vision and intelligent control systems.
  • 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)

Core modules

Navigate for the Professional Engineer

15 credits

You'll be introduced to your course learning aims and consider your anticipated learning targets from induction to graduation. You'll be guided to identify and take ownership of your personal academic journey through the development and application of academic skills aligned to KU Graduate Attributes and their discipline-specific professional body learning outcomes. You'll be tutored in a range of 'learning to learn' techniques, and you will be introduced to assessment for learning and the role of feedback, reflection and feedforward as an integrated part of your learning journey. This will be supported through active engagement in the KU Navigate Programme enabling you to understand and begin to develop a design thinking approach to Future Skills development.

Engineering Mathematics

15 credits

The aim of this module is to provide you with a thorough background in engineering mathematics and equip you with the mathematical skills essential for solving engineering problems. The topics introduced will serve as basic tools for studies in many engineering subjects. This includes algebra, functions, statistics and probability, trigonometry, calculus, differential equations and vectors. You 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. The computing software used will typically include MATLAB and Excel.

Introduction to Programming

15 credits

This module is designed to 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, which should provide a valuable transferrable skill set that can provide the essential skills needed for scripting in other computer languages in future modules. It will also provide the crucial foundations for you to investigate applications involving both ML and AI as you progress through the course.

Introduction to Robotics

15 credits

This module provides you with a comprehensive introduction to the field of robotics, including actuators, sensors and manipulators, and how they contribute to the overall functionality of a robot. Through hands-on programming exercises and projects, you'll develop your digital competency and technical skills in robotics. You'll gain practical experience in using programming languages and tools relevant to robotics, fostering an entrepreneurial mindset and preparing you for careers in various industries.

Electromechanical Systems Data

30 credits

This module aims to provide you with the key aspects involved in planning an electromechanical project from start to finish. You'll design processes incorporating a sustainability agenda, building an awareness of the interactions across various disciplines, regulatory frameworks and health and safety procedures.

You will be introduced to fundamental electronic components, their application in the design of electromechanical systems, and communication of engineering design ideas through integrating engineering drawing and 3D solid modelling. This module encourages the use of simulation tools for the design and analysis of the systems to enhance analytical as well as employability skills. The module also involves the IMechE Design Challenge as a part of the curriculum, giving you an opportunity to work in a team to produce engineering artefacts that are capable of accomplishing tasks, as well as developing interpersonal skills in order to enhance the your employability.

Microcontrollers and Interface Electronics

30 credits

This module is designed to 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 are covered in depth, along with the inclusion of devices to extend the number of analogue and digital port lines on a microcontroller.

Optional modules

Formula Student AI Fundamentals

0 credits

This module is a zero-credit module designed to develop your knowledge through the Formula Student Artificial Intelligence (FS-AI) competition. By exploring essential elements of the competition - autonomous vehicle design, real-world autonomous integration, and autonomous driving missions - this module aims to cultivate your skills in line with industry demands.

Core modules

Numerical Analysis and Computing

15 credits

This module aims to equip you with 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 utilise the language and techniques of mathematics in describing, analysing, and designing engineering systems. The primary focus is on utilising mathematical tools to resolve engineering problems, especially on mechanical systems, robotics, control systems, and signal processing.

Robot Kinematics and Dynamics

15 credits

The module focuses on kinematics and dynamics, enabling you to map motion from joint to Cartesian space and offering you the tools useful to design model-based control algorithms with superior performance. Topics covered include direct and inverse kinematics, differential kinematics, Lagrangian and Newton-Euler dynamics, dynamic parameter identification, design of model-based (e.g. hybrid, impedance, adaptive) controllers.

Exploring Engineering Project Management

15 credits

This is a core module for all Level 5 students on engineering programmes. You will demonstrate a developing awareness of the skills required to operate as a professional in their subject area. This module will scaffold Future Skills from Level 4 Navigate to Level 6 Apply.

This module considers the principles and practices for the design and management of engineering projects. The nature of engineering project management is discussed in the context of constraints on quality, time, risk, and sustainability. The module broadens the student's knowledge of how organisations undertake and monitor projects.

Control Systems

15 credits

This module is designed to enhance the concepts and apply the fundamental principles of control system engineering to solve real world control engineering problems. It enables you to develop skills to model, interpret and control dynamic behaviour of structures and systems with multi degree of freedom. MATLAB is used to reinforce the concepts learned in the module through simulation. This module is rich in technical content to enhance analytical as well as employability skills.

Machine Learning and Computer Vision

30 credits

This module is designed to equip you with an in-depth understanding of the fundamentals of computer vision and the role machine learning (ML) can play in optimising its functionality. You will gain insight into the principles of computer vision systems and the incorporation of ML into these systems. You will learn how to model and analyse the behaviour of dynamic computer vision systems. You will grasp the concepts of image analysis, pattern recognition and the effects of ML integration in a computer vision system. You will apply computer vision techniques to solve real-world image analysis problems, and you will learn the concepts of ML approaches used in computer vision systems. Python, along with libraries such as OpenCV and TensorFlow, is used to reinforce the concepts learned in the module through software simulations.

Robot Design and Build Project

30 credits

This module provides you with a comprehensive understanding of designing and building robots, with a focus on sensors, actuators, and modeling. You will learn essential concepts and industry-standard software necessary for designing complex robotic systems. Through a project-based assessment approach, you will collaborate in teams to develop technical reports that encompass the design, modeling, cost analysis, and manufacturing details of different robot subsystems. The module emphasises the application of technical drawing standards, British design practices, and design for manufacturing and assembly techniques to enhance students' employability in the engineering sector. Regular project reviews, a design report, and group presentations facilitate the development of innovative ideas and effective teamwork.

Core modules

Applied Business Management

15 credits

You will demonstrate the ability to apply your developing professional skills competencies in your chosen area and will ensure you have a broad understanding of the business environment in which professional activities are undertaken. The module will develop your technical, management and interpersonal skills required to perform in a team environment and prepare you for employment and entrepreneurship.

You will participate in Kingston University's Bright Ideas competition where you will work in a team to develop a business idea of your group's choice. To do this you will need to interact with relevant stakeholders outside the University.

Advanced Microcontrollers

15 credits

This module enables you to identify and develop skills in the solution of problems relating to the creation of mechatronic systems and robotic automation. You will be 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

This module provides you with a comprehensive understanding of advanced signal processing techniques and their applications. Through lectures and seminars, you will learn about key concepts such as advanced digital signal analysis, filter design, and implementation, and digital signal processing algorithms. You can expect to gain knowledge in areas like Fourier analysis, spectral estimation, wavelet transforms, and time-frequency analysis. The module covers real-world applications of digital signal processing, such as audio, image and video processing, biomedical signal processing, communication systems, and control systems. You will also engage in practical implementation and simulation exercises, using software tools like MATLAB and Python. In addition to technical skills, the module fosters attributes such as digital competency, adaptability, collaboration, questioning mindset, and resilience.

Modelling and Simulation in Soft Robotics

15 credits

This module covers a comprehensive study of the design principles and computational modelling and simulation techniques for soft robotics which is a rapidly growing field that seeks to create robots that mimic biological organisms in flexibility, adaptability and complex motion. The module introduces you to the key aspects of this exciting field, including principles of soft robotics design, computational modelling and simulation techniques and their applications in biologically inspired designs. At its core, the module emphasises the importance of computational modelling and simulation in soft robotics. As soft robots are often composed of flexible and deformable materials, accurately modelling and simulating their behaviour under various conditions is critical. The module exposes you to a range of computational tools and methods, including finite element analysis and dynamic system simulation and machine learning techniques. You will gain hands-on experience in utilising these tools to model and simulate various aspects of soft robotics, from actuation mechanisms to control strategies.

Applied Robotics and Artificial Intelligence

30 credits

This module is designed to provide you with advanced knowledge and skills in the fields of robotics and artificial intelligence. The module covers a range of topics, including advanced robotics techniques, trajectory planning, planning in joint space with imposed conditions, planning in cartesian space, orientation trajectories, and the integration of computer vision and artificial intelligence in robotics applications. You will gain a deeper understanding of how to design and implement robotic systems that can perform complex tasks efficiently and intelligently. You will also explore current research and industry developments related to the deployment of intelligent robots. This technical as well as research-informed module will enhance your analytical and employability skills. Additionally, it provides you with the opportunity to enhance your research, interpersonal and presentation skills.

Individual Project

30 credits

In this module you will research and study in detail a topic in your chosen field of study which is of personal interest.

You'll be able to show high levels of responsibility and organisational capability (through arranging meetings with supervisors, setting project goals and meeting appropriate deadlines) as well as demonstrate effective communication with others. The module encourages you to recognise, question and deal with the ethical dilemmas that are likely to occur in research and professional practice. You can further enhance the independence and employability skills the industry is looking for in graduates, especially those seeking professional recognition as a chartered engineer.

Core modules

Advanced Electronics and Control for Robotics

30 credits

This module encompasses a range of related fields, such as control, advances electronics and embedded implementation for robotics, introducing classical design and tools for analysis of control systems. Time domain design methods are followed by frequency domain design methods. Although the module mainly deals with continuous-time systems, discrete-time systems are also discussed. Your learning is supported by practical exercises where you'll design and implement embedded control systems using computer-aided design tools and embedded microcontroller-based robotic platforms. In addition to the theoretical concepts, the focus of this module is on implementation, providing you with a set of skills that will enhance your employability.

Aerial Robotics and Unmanned Vehicles

15 credits

This module delves into the kinematic and dynamic models of wheeled and aerial robots, starting with fundamental concepts like nonholonomic constraints for wheeled robotics. You'll learn about dynamic models, path planning, regulation and tracking, artificial potential fields for obstacle avoidance, and control techniques. Aerial robotics introduces different vehicle definitions, along with altitude, attitude, and position control strategies for efficient vehicle manipulation. The significance of visual servoing techniques in aerial robotics is also highlighted. Throughout the module, you'll engage in practical exercises, simulations and hands-on projects to reinforce your theoretical knowledge. You will be equipped with the skills necessary to design and implement control systems for unmanned vehicles, enabling you to contribute to the advancement of autonomous robotics in various industries.

Applied Deep Learning

15 credits

This module is designed to expand your knowledge and skills in the fields of artificial intelligence, in particular, deep learning applied to robotic applications. The module covers a range of topics, including Convolutional Neural Networks (CNNs), Deep Reinforcement Learning (DRL) and Recurrent Neural Networks (RNNs). You will gain a deeper understanding of how to design and implement robotic systems that can perform complex tasks efficiently and intelligently such as responding to human behaviour and navigating autonomously in complex and dynamic environments.

Biologically Inspired Robotics

15 credits

This module explores the synergy between robotics and bio-inspired design, deriving design principles from living systems to enhance understanding in key areas such as mechatronic systems and sensor/actuator technologies. You will engage with a comprehensive learning journey encompassing lectures, tutorials and hands-on lab exercises. These formats will facilitate a deep understanding of the adaptability and autonomy present in animal life, and how these principles can be applied to robotics. The module offers you a valuable opportunity to develop and showcase your innovative prowess in the creation, construction and critical assessment of new robotic applications. The focus is on surpassing existing designs in adaptability, manoeuvrability, resilience and energy efficiency. You can expect to bolster your problem-solving abilities as you deal with complex design challenges. You will also develop critical thinking skills as you evaluate the feasibility and efficiency of their designs. Communication skills will be honed during a team-based project and presentation.

Human-Robot Interaction

15 credits

This module provides you with the knowledge of the basic principles of human-robot interaction (HRI), exploring the fundamentals of a new area of research related to robotics, focusing on the physical, cognitive, and social interaction between humans and robots. This module aims to provide you with a comprehensive understanding of HRI principles, theories, and practical applications. You will learn to design, evaluate, and implement effective HRI systems that enable seamless communication and collaboration between humans and robots.

MEng Team Project

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 an opportunity for you 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 your 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.

Foundation year

An Engineering Foundation course with pathways in Aerospace, Civil, Mechanical Engineering is available. 

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.

A female engineering student, in the engineering lab.

Entry requirements

Typical offer 2025

UCAS tariff points: 128-144 for BEng (Hons) and MEng (Hons).

  • BEng: 128-144 UCAS points from three A-levels or equivalent Level 3 qualifications. A-levels to include Mathematics and a science subject (Physics, Chemistry, Computer Science/Computing, Design and Technology or Electronics). Alternatively, BTEC National Extended Diploma in Engineering or related subject such as Aerospace / Aeronautical / Electrical / Electronic / Manufacturing and Mechanical Engineering will be considered.
  • MEng: 128-144 UCAS points from three A-levels or equivalent Level 3 qualifications. A-levels to include Mathematics and two science subjects (Physics, Further Mathematics, Chemistry, Computer Science/Computing, Design and Technology, Electronics). Alternatively, BTEC National Extended Diploma in Engineering or related subject such as Aerospace / Aeronautical / Electrical / Electronic / Manufacturing and Mechanical Engineering will be considered.

Candidates are normally required to hold five GCSE subjects at grade C/4 or above, including Mathematics and English Language.

Typical offer 2024

UCAS tariff points: 128-144 for BEng (Hons) and MEng.

  • BEng: 128-144 UCAS points from three A-levels or equivalent Level 3 qualifications. A-levels to include Mathematics and a science subject (Physics, Chemistry, Computer Science/Computing, Design and Technology or Electronics). Alternatively, BTEC Extended Diploma in Engineering or related subject such as Aerospace/Aeronautical/Electrical/Electronic/Manufacturing and Mechanical Engineering will be considered.
  • MEng: 128-144 UCAS points from three A-levels or equivalent Level 3 qualifications. A-levels to include Mathematics and two science subjects (Physics, Further Mathematics, Chemistry, Computer Science/Computing, Design and Technology, Electronics). Alternatively, BTEC Extended Diploma in Engineering or related subject such as Aerospace/Aeronautical/Electrical/Electronic/Manufacturing and Mechanical Engineering will be considered.

Candidates are normally required to hold five GCSE subjects at grade C/4 or above, including Mathematics and English Language.

Alternative routes

We will consider a range of alternative Level 3 qualifications.

Applications from those that have undertaken an Engineering foundation year will also be considered.


We welcome applications from International Applicants. View our standard entry requirements from your country.

All non-UK applicants must meet our English language requirements. For this course it is Academic IELTS of 6.0, with no element below 5.5.

Country-specific information

You will find more information on country specific entry requirements in the International section of our website.

Find your country:

Typical offer and UCAS points explained

Like most universities, we use the UCAS Tariff point system for our course entry requirements.

Find out more about UCAS Tariff points and see how A-level, AS level, BTEC Diploma and T-level qualifications translate to the points system.

Teaching and assessment

Teaching includes lectures, seminars, tutorials and practical laboratory sessions, backed up by design classes, workshops and site visits.

Assessment methods are usually split between exam and continuous assessment coursework (e.g. reports, computer exercises, laboratories and essays). Some modules are assessed by coursework only.

Guided independent study (self-managed time)

When not attending timetabled sessions, you will be expected to continue learning independently through self-study. This typically will involve reading journal articles and books, working on individual and group projects, undertaking preparing coursework assignments and presentations, and preparing for final assignments. Your independent learning is supported by a range of excellent facilities including online resources, the library and CANVAS, the online virtual learning platform.

Academic support

Our academic support team here at Kingston University provides help in a range of areas.

Dedicated personal tutor

When you arrive, we'll introduce you to your personal tutor. This is the member of academic staff who will provide academic guidance, be a support throughout your time at Kingston and show you how to make the best use of all the help and resources that we offer at Kingston University.

Feedback summary

We aim to provide feedback on assessments within 20 working days.

Your timetable

Your individualised timetable is normally available to students within 48 hours of enrolment. Whilst we make every effort to ensure timetables are as student-friendly as possible, scheduled learning and teaching can take place on any day of the week between 9am and 6pm. For undergraduate students, Wednesday afternoons are normally reserved for sports and cultural activities, but there may be occasions when this is not possible. Timetables for part-time students will depend on the modules selected.

Class sizes

To give you an indication of class sizes, this course normally enrols 90 students and lecture sizes are normally 80­-100­.  However this can vary by module and academic year.

Who teaches this course

The course team comprises highly-experienced staff members with 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 our programme, 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. Our diverse staff and student body bring unique insights and experiences, enabling you to learn from different perspectives and broaden your understanding of the global engineering landscape.


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.

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:

  • 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.

Three engineering students working on a Formula Student car.

Course fees and funding

2024/25 fees for this course

The tuition fee you pay depends on whether you are assessed as a 'Home' (UK), 'Islands' or 'International' student. In 2024/25 the fees for this course are:

 Fee category Amount
Home (UK students) £9,250*
International Year 1 (2024/25): £17,800
Year 2 (2025/26): £18,500
Year 3 (2026/27): £19,200
Year 4 (2027/28): £20,100

For courses with a sandwich year, the fee for the placement year can be viewed on the undergraduate fees table. The placement fee published is for the relevant academic year stated in the table. This fee is subject to annual increases but will not increase by more than the fee caps as prescribed by the Office for Students or such other replacing body.

* The fees shown above apply for Year 1 of the degree from 2024/25 onwards (fees may rise in line with inflation for future academic years). For full time programmes of a duration of more than one academic year, the published fee is an annual fee, payable each year, for the duration of the programme. Your annual tuition fees cover your first attempt at all of the modules necessary to complete that academic year. A re-study of any modules will incur additional charges calculated by the number of credits. Home tuition fees may be subject to annual increases but will not increase by more than the fee caps as prescribed by the Office for Students or such other replacing body. Full time taught International fees are subject to an annual increase and are published in advance for the full duration of the programme.

Eligible UK students can apply to the Government for a tuition loan, which is paid direct to the University. This has a low interest-rate which is charged from the time the first part of the loan is paid to the University until you have repaid it.

Note for EU students: UK withdrawal from the European Union

The Government has recently announced that new students from the European Union and Swiss Nationals starting their course after August 2021 will no longer be eligible for a student loan in England for Undergraduate or Postgraduate studies from the 2021/22 academic year. This decision only applies to new EU students starting after 2021/22. If you are an existing/continuing EU student, you will continue to be funded until you graduate or withdraw from your course.

International students

Important: if you are an international student requiring a Tier 4 student visa to study in the UK, you will need an ATAS certificate if you wish to apply for the Mechanical Engineering MEng course. Once you have completed the Mechanical Engineering Foundation Year (UCAS code H308), you can transfer to Mechanical Engineering BEng(Hons)/BSc(Hons), dependent on satisfactory grades. 

Need to know more?

Our undergraduate fees and funding section provides information and advice on money matters.

Additional costs

Depending on the programme of study, there may be extra costs that are not covered by tuition fees which students will need to consider when planning their studies. Tuition fees cover the cost of your teaching, assessment and operating University facilities such as the library, access to shared IT equipment and other support services. Accommodation and living costs are not included in our fees. 

Where a course has additional expenses, we make every effort to highlight them. These may include optional field trips, materials (e.g. art, design, engineering), security checks such as DBS, uniforms, specialist clothing or professional memberships.


Our libraries are a valuable resource with an extensive collection of books and journals as well as first-class facilities and IT equipment. You may prefer to buy your own copy of key textbooks; this can cost between £50 and £250 per year.

Computer equipment

There are open-access networked computers available across the University, plus laptops available to loan. You may find it useful to have your own PC, laptop or tablet which you can use around campus and in halls of residence. Free WiFi is available on each campus. You may wish to purchase your own computer, which can cost between £100 and £3,000 depending on your course requirements.

Photocopying and printing

In the majority of cases, written coursework can be submitted online. There may be instances when you will be required to submit work in a printed format. Printing, binding and photocopying costs are not included in your tuition fees, this may cost up to £100 per year.


Travel costs are not included in your tuition fees but we do have a free intersite bus service which links the campuses, Surbiton train station, Kingston upon Thames train station, Norbiton train station and halls of residence.


If the placement year option is chosen, during this year travel costs will vary according to the location of the placement, and could be from £0 to £2,000.


The University supports the expenses incurred for projects (up to £50); however there might be instances where you would like to spend more.

Field trips

All compulsory industrial site visits are paid for by the University; optional ones are not included. There may be some cases in which a student is required to pay a small travel cost – this can range from £0 to £100 depending on where you are travelling from.

3D printing

It is not compulsory as part of your degree to print projects using the 3D printer. However if you wish to, you will need to pay for the material. Printing costs are estimated by weight (cheapest material is 3p per gram and most expensive material is 40p per gram).

Personal Protective Equipment (PPE)

Kingston University will supply you with a lab coat and safety goggles at the start of the year. A £10 voucher will be supplied to help cover the cost of the safety boots when purchasing with our supplier Activity Work Wear. Safety boots can range in cost between £25 and £100.

After you graduate

You'll graduate ready for a successful career in industry, having gained hands-on experience, practical, professional and technical skills.

Careers and recruitment advice

The Faculty has a specialist employability team. It provides friendly and high-quality careers and recruitment guidance, including advice and sessions on job-seeking skills such as CV preparation, application forms and interview techniques. Specific advice is also available for international students about the UK job market and employers' expectations and requirements.

The team runs employer events throughout the year, including job fairs, key speakers from industry and interviews on campus. These events give you the opportunity to hear from, and network with, employers in an informal setting.

Employability preparation at Kingston University

In addition to building expertise in your own discipline, our courses will also help you to develop key transferable skills that you'll need for professional life or further study once you graduate.

As well as a range of careers and employability activities at Kingston, we also offer you the chance to apply and develop your skills in live contexts as an integral part of your course. Opportunities include:

  • placements
  • working or studying abroad
  • volunteering
  • peer mentoring roles
  • internship opportunities within and outside the University.

In your final year, you'll get the opportunity to complete a major 'capstone' project where you can apply the knowledge and skills you have acquired to a range of real issues in different contexts. This is a great way to learn and is a valuable bridge to employment or further research at masters level.

Postgraduate opportunities after graduation

If you decide that you would like to go on to postgraduate study after your undergraduate course, we offer a 10% discount on our postgraduate course tuition fees to our alumni.

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). 
  • 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

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 
Willmott Dixon  

Assistant site manager 
Assistant trades package manager 
Assistant logistics manager 
Health and safety officer 
Construction engineer

Science-based placement employers 

Science-based placement roles 

Reckitt and Benckiser 
Drug Control Centre 
Minton Treharne and Davies Ltd  
Various local and international hospitals 

Bioanalytical sciences 
Lab assistant 
Pharmacy assistant 
Sports coach 

Engineering-based placement employers 

Engineering-based placement roles 

BAM Nuttall 

Analysis of aircraft structure 
Construction resources specialist 
Site engineer assistant

Computing and IS based placement employers 

Computing and IS based placement roles 

Sony Interactive Entertainment Europe 

Database co-ordinator 
Software developer 
Website developer 
App developer

Mathematics-based placement employers 

Mathematics-based placement roles 

Lloyds Banking Group 
PAU Education, Spain

Investment solutions 
Research analyst 
Accounts assistant

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.