Computer Science (Artificial Intelligence) (Industrial) MEng, BSc

Course overview

Artificial intelligence is one of the fastest developing areas of computer science. It is being used in exciting new ways to enhance and evolve computer games, web search, biometric systems and many other areas. Artificial intelligence is also being applied to important economic and societal issues in fields such as medicine, health, transport and smarter cities.

Developments in artificial intelligence are radically changing the way that we interact with each other, process data and make decisions. From commerce to healthcare, from agritech to government – innovators in computer science and artificial intelligence and are often at the forefront of new technological developments and already creating the solutions of tomorrow.

Successful computer scientists are not only skilled programmers, but they are also highly creative thinkers and problem-solvers who are adept at handling complex information. Computing touches every industry, everywhere, so computer scientists and artificial intelligence specialists are in demand in a variety of sectors.

Studying a computer science with artificial intelligence degree at Leeds will equip you with the core technical and problem-solving skills to tackle current and emerging challenges in this fast-changing field. Alongside technical skills such as algorithm design, problem solving and practical programming, you'll develop a raft of vital workplace skills such as collaborative working and project management, as well as studying specialist artificial intelligence topics such as machine learning, deep learning, text analytics and their applications in areas from vision to automated reasoning.

You’ll also be taught in our brand new, purpose-built hub for students and academics – the Sir William Henry Bragg Building – which is home to leading research and specialist teaching facilities here on campus.

If you want to be challenged, to work in multidisciplinary teams, solve global and emerging challenges and have a portable and highly sought-after skill set then studying computer science is a great option. The topics you’ll study reflect the latest developments in computer science, equipping you with the key knowledge, skills and experience you need to begin your career in this highly valued profession.

Industrial placement year

This programme gives you the opportunity to undertake a paid industrial placement year as part of the course. Our close industry links give you the platform to apply to a number of major organisations such as Apple, Microsoft and Amazon.

Why study at Leeds:

• Our globally-renowned research feeds directly into your course, shaping your learning with the latest thinking in areas such as algorithms and complexity, artificial intelligence, computational science and engineering, biomedicine & health and distributed systems and services.
• Enhance your career prospects and give your CV that competitive edge before you graduate with a paid industrial placement year.
• Experience expert teaching delivered by a programme team made up of academics and researchers who specialise in a variety of computing areas.
• Access excellent facilities including two custom-built teaching laboratories containing high-specification Linux machines and a range of collaborative and quiet study spaces.
• Make the most of your time at Leeds by joining CompSoc, where you can meet like-minded peers and enjoy a variety of social, professional and academic events including Hackathons, community outreach and professional networking. CompSoc also hosts sports teams and academic support groups.

Benefits of an integrated Masters

Learn more about what an integrated Masters is and how it can benefit your studies and boost your career.

Accreditation

British Computing Society (BCS)

Accreditation is the assurance that a university course meets the quality standards established by the profession for which it prepares its students.

The School of Computing at Leeds has a successful history of delivering courses accredited by the British Computing Society (BCS). This means our computer science courses have consistently met the quality standards set by the British Computer Society (BCS).

As we are reviewing our curriculum, we are currently seeking reaccreditation from the BCS for accreditation of full Chartered IT Professional (CITP) and Chartered Engineer (CEng).

Course details

In this course, you'll develop industrially relevant skills which will aid you in a successful career of your choosing. You'll gain a fundamental understanding of computer hardware, software engineering and the underpinnings of mathematical principles. Alongside, you'll also have opportunities to develop critical thinking and creative skills that'll transfer into your career once you graduate.

Throughout this course, we work closely with you to develop personalised learning plans to ensure you are progressing towards the goal of becoming an outstanding computer science graduate ready to apply your skills.

This course will develop you into a well-rounded computer scientist with an awareness of the global challenges and opportunities available to you, ready for a challenging and rewarding career and equipped to continue learning to stay at the cutting edge of developments.

You'll study computing ethics as part of your course. This is taught using real-life case studies, with input from specialist ethicists as well as your tutors and lecturers. The team responsible for the ethics taught in computing has produced educational material used to stimulate debate in class about topics such as ethical hacking, open-source software and the use of personal data.

Each academic year, you'll take a total of 120 credits.

The course structure shown below represents typical modules/components studied and may change from time to time. Read more in our terms and conditions.

Course structure

The list shown below represents typical modules/components studied and may change from time to time. Read more in our terms and conditions.

For more information and a full list of typical modules available on this course, please read Computer Science (Artificial Intelligence) (Industrial) MEng, BSc in the course catalogue

Years 1 and 2

You'll learn about the core topics in computer science and how they can be applied in a variety of real-world scenarios. Through topics covered in years 1 and 2, you'll develop into a holistic computer scientist capable of problem identification, solution design, consideration of impact, implementation and evaluation. You'll develop an understanding of sustainability in computing and appreciate how your professional behaviour can help to develop a more equitable future for all. You'll work collaboratively with your fellow students in group projects and will have an opportunity to share your knowledge and experiences with students in different years.

Year 1 compulsory modules

Programming – 40 credits

Programming involves the systematic design, development, testing and maintenance of computer programs and applications, utilising programming languages, algorithms and structured methodologies to create efficient and reliable software solutions.

Covering foundational programming skills, data structures, algorithms and data modelling, you’ll acquire the fundamental knowledge needed to construct efficient and well-structured software. Through hands-on exercises and theoretical instruction, the module cultivates proficiency in programming practices, algorithmic thinking and the systematic design of software solutions, laying the groundwork for a deeper understanding of software engineering principles essential for your future career.

Building our Digital World: Computer Systems and Architecture – 40 credits

A computer system is a combination of hardware and software components that work together to process data, perform tasks and execute programs. This module introduces the foundations and intricacies of computer systems, covering fundamental aspects such as hardware architecture, networking principles and operating systems.

This module provides a comprehensive understanding of how computers function at both the hardware and software levels. Through theoretical concepts and practical applications, you’ll develop proficiency in assembling and troubleshooting computer systems. Furthermore, the module introduces key networking principles, enabling you to comprehend data transmission and connectivity. The module introduces computer system design from an engineering viewpoint, exploring topics of security, reliability and general performance.

Theoretical Foundations of Computer Science I – 40 credits

Computer science, at its foundation, is a mathematical and engineering discipline. This module lays the foundation of the mathematical and theoretical concepts in computer science. This module equips you with a set of core knowledge and skills that will enable you to view real-world problems algorithmically and apply rigorous mathematical approaches to solve them.

Year 2 compulsory modules

Software Engineering – 40 credits

Software engineering involves the systematic design, development, testing and maintenance of computer programs and applications, utilising programming languages, algorithms and structured methodologies to create efficient and reliable software solutions.

This module establishes the fundamental principles of a systematic approach to software engineering. Through hands-on experiences, you’ll gain proficiency in contemporary software engineering practices whilst also developing an understanding of the subject. This module fosters practical experiences in engineering analysis and design, shedding light on the societal impact of engineering. It serves as a cornerstone, equipping you with the knowledge and skills necessary for a successful career in the dynamic field of computer science.

Beyond the Core: Advanced Hardware, Operating Systems and Parallelism – 40 credits

Explore in more depth the foundations and intricacies of computer systems, focusing on the role of the operating system, network applications and network protocol.

This module explores the purpose and role of operating systems and networks, allowing you to attribute feature and design decisions to performance and security characteristics. Throughout the module, emphasis is placed on the integration of operating systems and networking concepts, preparing you to navigate the landscape of contemporary IT environments.

Theoretical Foundations of Computer Science II – 40 credits

Build on the foundations of mathematical and theoretical concepts in computer science to develop the ideas into more complex application domains. You’ll further develop techniques and transferable skills in areas like problem solving that will help you tackle real-world challenges, applying mathematical approaches to solve them.

Year 3

In your third year, you'll complete an individual project showcasing your accumulated skills and knowledge. You'll work with a member of academic staff to define, refine and complete a project related to your interests. You'll also study professionalism, innovation and enterprise ensuring you are well equipped to enter the workplace or continue your journey in education.

In year 3, you also have an opportunity to branch out and shape your learning journey by selecting from our advanced topics modules in subjects such as computer graphics, artificial intelligence, high-performance computing, algorithms and complexity and distributed systems.

If you decide to leave after this year, you’ll graduate with a Computer Science BSc degree.

Compulsory modules

Professional Innovation and Enterprise – 20 credits

Gain a holistic understanding of professional conduct, legal considerations and ethical practices in the tech industry. You’ll be equipped with vital commercial awareness and insights into professional issues, preparing you for successful integration into the workforce. With an emphasis on ethical decision making and legal responsibilities, you’ll gain a nuanced understanding of the broader implications of your work, fostering a well-rounded approach to your roles as a future computing professional.

Individual Project – 40 credits

This individual project is the culmination of three years of computer science studies and provides the opportunity for you to demonstrate a mastery of the subject. You’ll engage in a comprehensive exploration of engineering analysis and design, honing your skills in problem formulation, solution development and critical evaluation. This module emphasises the practical application of computer science theories to solve complex, contemporary issues, fostering creativity and independent thinking.

You’ll focus on a chosen problem, employing rigorous research methodologies and leveraging engineering techniques to propose innovative solutions.

Artificial Intelligence – 20 credits

Build hands-on experience with the design, implementation and evaluation of artificial intelligence systems, together with the underpinning theory. The module is divided into several topics addressing key areas of artificial intelligence. The topics will reflect research strengths in the School and prepare you to embark on projects within the artificial intelligence domain.

Optional modules

Please note: The modules listed below are indicative of typical options.

High Performance Computing – 20 credits

Take a comprehensive look at the architecture, storage and programming models integral to the world of advanced computing.

You’ll cover both homogeneous and heterogeneous computing systems and explore developments in both hardware and modern programming schemes to program shared and distributed CPU, GPGPU and other accelerators.

The module will also cover the role of high-performance computing in various application domains.

Computer Graphics – 20 credits

People interact with graphics daily. Computer graphics technology is ubiquitous in the modern world and is at the heart of computer games and film production. It is also extensively used in engineering, medicine and sciences.

This module covers the core concepts of rendering. It starts with techniques to manipulate and create images and then moves on to techniques behind 3D graphics. It explains modern graphics APIs and how programmers can use these to interface with today's very powerful GPUs.

You’ll build a small real-time 3D application from scratch as part of the module, allowing you to showcase your abilities.

Fundamental Algorithms for Scientific Computing – 20 credits

Explore a selection of important classical and modern algorithms in scientific computing. You'll work in groups through structured tasks to develop solutions incrementally approaching state-of-the-art implementations, simultaneously developing an appreciation of their power and efficacy.

Distributed Systems – 20 credits

This module provides a comprehensive overview of the principles and practices underlying the design and implementation of distributed computing systems. Explore the fundamentals of distributed systems architecture, cloud computing models and contemporary platforms/frameworks. You’ll gain insights into the challenges and solutions associated with distributed computing, preparing you to design scalable, resilient and efficient applications in today's dynamic computing landscape. This module equips you with the knowledge to navigate the complexities of distributed systems and leverage cutting-edge technologies for seamless integration and interoperation.

Cyber Physical Systems – 20 credits

Learn the engineering concepts underlying cyber-physical systems as a technology and as a subject of study. The module is focused on modelling, design and analysis of cyber-physical systems, which integrate computation, networking and physical processes.

Algorithms and Complexity – 20 credits

There are practically important computational problems that can be solved in principle, but there are no efficient algorithms known. This intractability is formalised in the theory of NP-completeness. To cope with such problems in practice, we have to compromise. This module considers two approaches – fixed parameter algorithms and approximation algorithms.

Compilers Design and Optimisation – 20 credits

Explore the art and science of building compilers and enhancing program efficiency. This module provides a comprehensive understanding of compiler design principles and explores optimisation techniques. You’ll embark on a hands-on journey, constructing a compiler from the ground up. Through practical projects and theoretical insights, participants master the intricacies of translating high-level programming languages into executable code, while also implementing strategies to optimise the performance of the generated programs. By the end of this module, you’ll be equipped with essential skills for software development and system optimisation.

Year 4

You’ll have the opportunity to apply to spend a year in industry. A work placement is an invaluable opportunity to transfer your learning into a practical setting, applying the knowledge and skills you’ve been taught throughout your degree to real-world challenges – in a working environment. It’s important to note, work placements are not guaranteed.

Year 5

In year 5, you’ll deepen your understanding of artificial intelligence techniques. You'll learn about deep learning, machine learning, knowledge representation and reasoning, robotics, computer vision and text analytics.

You’ll also complete a group project in the area of artificial intelligence. Working as part of a small team you'll be paired with an academic to tackle a problem related to your interests and the School of Computing’s research expertise. You'll also complete a research skills/seminar module where you'll develop your skills to engage with cutting edge academic literature.

Compulsory modules

Group Project – 45 credits

You'll work as part of a group to define a problem and explore a solution. Emphasising teamwork, the module guides you through the development of a collective software project. You’ll engage in planning, coding and project management, gaining practical experience in a real-world, team-based setting. This module enhances problem-solving abilities, communication and project coordination within the context of computer science applications.

Research Seminar – 15 credits

In this research-informed module, you'll embark on an intellectual journey, cultivating research skills and critical thinking. This module fosters an environment where you can engage with cutting-edge topics, explore research methodologies and contribute to scholarly discussions. Through interactive seminars, you’ll refine your ability to critically evaluate existing literature, formulate research questions and design methodologically sound studies. This module nurtures a vibrant research community, with emphasis on collaboration and peer feedback throughout.

This means, once you’ve completed the module, you’ll emerge with enhanced research skills, ready to contribute meaningfully to the ongoing discourse within your respective academic fields.

Machine Learning – 15 credits

This module covers the principal algorithms used in machine learning using a combination of practical and theoretical sessions. You’ll explore current approaches and gain an understanding of their capabilities and limitations, before evaluating the performance of machine learning algorithms. You’ll also use existing implementations of machine learning algorithms to explore data sets and build models.

Deep Learning – 15 credits

Discover the field of deep learning through a strongly integrative and state-of-the-art approach. In line with the use of AI in key sectors (e.g. finance, health, law), there is an emphasis on the combination of multiple input modalities – specifically combining images, text and structured data. You’ll gain hands-on experience in developing systems to address real-world problems and gain the knowledge and skills necessary to develop an AI system.

Knowledge Representation and Reasoning – 15 credits

Explore the logical foundations of knowledge representation, including key properties of formal systems such as soundness, completeness, expressiveness and tractability. You’ll also learn how to use an automated reasoning tool software tool, build an understanding in automated reasoning and discover how an Ontology can be used within an information system.

Optional modules

Please note: The modules listed below are indicative of typical options.

Autonomous Systems and Robotics – 15 credits

Explore artificial intelligence concepts, algorithms and methods that can be used by autonomous robots to control behaviour and sense their environment. You'll develop a theoretical understanding of fundamental concepts, as well as practical implementation of algorithms and methods on robot systems.

Data Science – 15 credits

Develop an understanding in the methods of analysis used to gain insights from complex data. The module covers the theoretical basis of a variety of approaches, placed into a practical context using different application domains.

Bio-inspired Computing – 15 credits

This module teaches you how to implement bio-inspired algorithms to solve a range of problems. You’ll design and apply simple genetic algorithms, as well as interpreting the behaviour of algorithms based on the cooperative behaviour of distributed agents with no, or little, central control.

You’ll also consider examples of cooperative phenomena in nature and the concepts of emergence and self-organisation.

Data Mining and Text Analytics – 15 credits

Throughout this module, you’ll become familiar with the linguistic theory and terminology of empirical modelling of natural language and the main text mining and analytics application areas. You’ll learn how to use algorithms, resources and techniques for implementing and evaluating text mining and analytics systems. You’ll also develop solutions using open-source and commercial toolkits.

Project work

You'll develop your commercial and industrial awareness by completing real-world problem-solving project work, building up a portfolio of work to demonstrate your knowledge and skills in analysis, communication and teamwork to prospective employers.

Learning and teaching

In the School of Computing, you'll be part of a large and welcoming learning community where academic staff and your fellow students work collaboratively together. Our expert academic staff bring a wealth of industrial and research experience meaning you'll have awareness of the forefront of developments when you graduate.

You'll be joining a diverse community of computer scientists from a range of backgrounds, where you'll be encouraged to share your experiences with and to learn from others in order to develop a university culture where our differences are our strengths. Our research feeds directly into our teaching, meaning you'll learn about the very latest developments in your subject while gaining the knowledge and skills to meet the needs of your graduate job.

To help you benefit from our expertise, you'll be engaged in a mix of lectures, tutorials, seminars and practical labs, complemented by online learning resources and project-based learning. This mix of activities will develop you into a flexible and agile learner, suitable for keeping up with the fast pace of development in graduate careers. The approach is inclusive by design, and you'll be supported to develop the skills to best benefit from each type of activity.

Our personal tutorial system will provide you with academic and pastoral support. You'll be assigned to an academic personal tutor who will mentor you throughout your studies at Leeds. Everyone will have a different set of experience, interests and motivations for studying the subject, and your personal tutor will help you to understand what these are and how you can best leverage your experiences to make the most of your time at Leeds.

Specialist facilities

You’ll study in the Sir William Henry Bragg Building which offers a wealth of facilities to support your learning. It has two custom-built teaching laboratories containing high-specification Linux machines – sufficient to complete all work asked of you on our programmes. In addition, the Sir William Henry Bragg Building houses our state-of-the-art research laboratories which are used by our internationally leading researchers and postgraduate students – and are available to students as part of their final year individual project.

There's also a number of social and collaborative study spaces which are available for you to use whenever the building is open. Whether you require a quiet place to work, or you thrive being in a busy stimulating environment there is a space suitable for you.

On this course, you’ll be taught by our expert academics, from lecturers through to professors. You may also be taught by industry professionals with years of experience, as well as trained postgraduate researchers, connecting you to some of the brightest minds on campus.

Assessment

You'll be assessed using a variety of methods which are chosen to emulate real-life tasks or activities you are likely to encounter in a graduate career. This may include time-constrained assessments, laboratory practicals, reports, problem-solving worksheets, projects and presentations.

Where possible, assessment is designed to be contemporary with recent events and developments in computer science – making them interesting and relevant.

We use summative assessment, which contributes to your degree outcome, as well as formative assessment, which does not contribute to your degree outcome but provides an indication of performance. This combination allows you to become comfortable with the style of assessment and allows us to provide targeted additional support where it is required. Your work will be assessed by a member of academic staff who’ll provide feedback on what you did well, areas of improvement and stretch goals. This feedback may be in written or verbal form.

Our assessment approach is designed to be inclusive by default, however, we also make reasonable adjustments where required.

Entry requirements

A-level: AAA including Mathematics.

Where an A-level Science subject is taken, we require a pass in the practical science element, alongside the achievement of the A-Level at the stated grade.

Excludes A-level General Studies or Critical Thinking.

GCSE: English Language at grade C (4) or above, or an appropriate English language qualification. We will accept Level 2 Functional Skills English in lieu of GCSE English.

Extended Project Qualification and International Project Qualification: Whilst we recognise the value of these qualifications and the effort and enthusiasm that applicants put into them, we do not currently include them as part of our offer-making. We do, however, encourage you to provide further information on your project in your personal statement.

Alternative qualification

Read more about UK and Republic of Ireland accepted qualifications or contact the School’s Undergraduate Admissions Team.

Alternative entry

We’re committed to identifying the best possible applicants, regardless of personal circumstances or background.

Access to Leeds is a contextual admissions scheme which accepts applications from individuals who might be from low income households, in the first generation of their immediate family to apply to higher education, or have had their studies disrupted.

Find out more about Access to Leeds and contextual admissions.

Typical Access to Leeds offer: ABB, including an A in Mathematics.

International

We accept a range of international equivalent qualifications. For more information, please contact the Admissions Team.

International Foundation Year

International students who do not meet the academic requirements for undergraduate study may be able to study the University of Leeds International Foundation Year. This gives you the opportunity to study on campus, be taught by University of Leeds academics and progress onto a wide range of Leeds undergraduate courses. Find out more about International Foundation Year programmes.

English language requirements

IELTS 6.0 overall, with no less than 5.5 in each section. For other English qualifications, read English language equivalent qualifications.

Improve your English
If you're an international student and you don't meet the English language requirements for this programme, you may be able to study our undergraduate pre-sessional English course, to help improve your English language level.

Fees

UK: To be confirmed

International: £32,250 (per year)

Tuition fees for UK undergraduate students starting in 2025/26
In November 2024 the UK Government announced that the tuition fee cap may rise to £9,535 from £9,250.

The tuition fee cap for some foundation years may also reduce to £5,760 from £9,250.

This would start from the academic year 2025/26. However, this is subject to final confirmation from the Government. Once available, we’ll publish the fees for the 2025/26 academic year and individual offer letters shall be updated via email and post.

The foundation year courses affected are:
·         Business Studies with Foundation Year BSc
·         Arts and Humanities with Foundation Year BA
·         Interdisciplinary Studies with Preparation for Higher Education BA
·         Social Science (foundation year) BA

Tuition fees for international undergraduate students starting in 2024/25 and 2025/26
Tuition fees for international students for 2024/25 and 2025/26 are available on individual course pages.

Tuition fees for UK undergraduate students starting in 2024/25
Tuition fees for UK full-time undergraduate students are set by the UK Government and will be £9,250 for students starting in 2024/25.

The fee may increase in future years of your course in line with inflation only, as a consequence of future changes in Government legislation and as permitted by law.
 

Tuition fees for a study abroad or work placement year
If you take a study abroad or work placement year, you’ll pay a reduced tuition fee during this period. For more information, see Study abroad and work placement tuition fees and loans.

Read more about paying fees and charges.

There may be additional costs related to your course or programme of study, or related to being a student at the University of Leeds. Read more on our living costs and budgeting page.

Scholarships and financial support

If you have the talent and drive, we want you to be able to study with us, whatever your financial circumstances. There is help for students in the form of loans and non-repayable grants from the University and from the government. Find out more in our Undergraduate funding overview.

Applying

Apply to this course and check the deadline for applications through the UCAS website.

We may consider applications submitted after the deadline. Availability of courses in UCAS Extra will be detailed on UCAS at the appropriate stage in the cycle.

Admissions guidance

Read our admissions guidance about applying and writing your personal statement.

What happens after you’ve applied

You can keep up to date with the progress of your application through UCAS.

UCAS will notify you when we make a decision on your application. If you receive an offer, you can inform us of your decision to accept or decline your place through UCAS.

How long will it take to receive a decision

We typically receive a high number of applications to our courses. For applications submitted by the January UCAS deadline, UCAS asks universities to make decisions by mid-May at the latest.

Offer holder events

If you receive an offer from us, you’ll be invited to an offer holder event. This event is more in-depth than an open day. It gives you the chance to learn more about your course and get your questions answered by academic staff and students. Plus, you can explore our campus, facilities and accommodation.

International applicants

International students apply through UCAS in the same way as UK students.

We recommend that international students apply as early as possible to ensure that they have time to apply for their visa.

Read about visas, immigration and other information here.

If you’re unsure about the application process, contact the admissions team for help.

Admissions policy

University of Leeds Admissions Policy 2025

This course is taught by

School of Computer Science

Contact us

School of Computer Science Undergraduate Admissions

Email: ugcomp@leeds.ac.uk
Telephone:

Career opportunities

There’s a wealth of excellent job opportunities for graduate computer scientists – making it easy for you to choose your ideal career.

Our graduates are sought-after for their technical knowledge, industrial and commercial awareness, independence and proactiveness. Plus, University of Leeds students are among the top 5 most targeted by top employers according to The Graduate Market 2024, High Fliers Research.

From start-ups to international organisations and non-governmental organisations, the computing industry is always looking for computer science graduates to realise the next opportunity.

Our graduates find employment across a range of sectors including:

• Non-governmental organisations
• Government agencies
• Education
• Media
• Gaming
• Technology
• Consultancies
• Finance (& Finance Technologies)
• Public Authority
• Retail
• Research & Development

Careers support

At Leeds, we help you to prepare for your future from day one. Through the School of Computer Science’s extensive set of industrial contacts, you'll have the opportunity to network with local, national and international companies. The School has close links with regional employers who focus their recruitment efforts on the School.

Our Leeds for Life initiative is designed to help you develop and demonstrate the skills and experience you need for when you graduate. We will help you to access opportunities across the University and record your key achievements so you are able to articulate them clearly and confidently.

You'll be supported throughout your studies by our dedicated Employability Team, who will provide you with specialist support and advice to help you find relevant work experience, internships and industrial placements, as well as graduate positions. You’ll benefit from timetabled employability sessions, support during internships and placements, and presentations and workshops delivered by employers.

Explore more about your employability opportunities at the University of Leeds.

You'll also have full access to the University’s Careers Centre, which is one of the largest in the country.

Study abroad and work placements

Study abroad

This degree does not offer the option to study abroad. However, the Computer Science (Artificial Intelligence) MEng, BSc degree does have this option.

Work placements

This programme gives you the opportunity to undertake a paid industrial placement year as part of the course.

It’s important to note, work placements are not guaranteed. The job market is competitive – and there may be competition for the placement you want. You’ll have to apply the same way you would for any job post, with your CV and, if successful, attend an interview with the organisation.

Our Employability Team will help you every step of the way. They run a number of placement sessions to discuss opportunities and support you with CV writing and interview preparations. Plus, they’ll be there to answer any questions you may have and offer guidance throughout the process, too.

Benefits of a work placement year:

• 100+ organisations to choose from, both in the UK and overseas
• Build industry contacts within your chosen field
• Our close industry links mean you’ll be in direct contact with potential employers
• Advance your experience and skills by putting the course teachings into practice
• Gain invaluable insight into working as a professional in this industry
• Improve your employability

Here are some examples of placements our students have recently completed:

• Arm
• HP inc UK
• GlaxoSmithKline Research & Development
• UK Research & Innovation
• Apple
• Microsoft
• Amazon
• PwC

Find out more about Industrial placements.