Skip to main content

Computer Science with Games Programming with Foundation Year BSc(Hons)

Overview

This programme is not available to international students. Instead, international students should apply for our international foundation programmes delivered by our International Study Centre on campus. For more information please visit International Study Centre.

Our integrated foundation degrees are for those of you who possess the capability to pursue a degree but do not have the pre-requisite qualifications to directly apply to your desired course. The duration of the foundation element is one year, and, if you successfully pass, you will automatically progress on to the degree.

Games development is a large and thriving industry in the UK. The games industry is constantly evolving and, as technology advances, the technical requirements needed are ever increasing. This course is designed, therefore, to prepare you for a career in this faced-paced world.

Supporting you to create novel solutions to tackle the issues that face the industry, our course covers general computing and software engineering knowledge and techniques that apply across the computing industry.

Why study Computer Science with Games Programming BSc(Hons) at Huddersfield?

You'll study programming languages, including Java, and we'll support you in progressing to C++, the industry standard language for writing performant software. You'll also explore the technical aspects of games development in dedicated games modules, covering everything from game engine architecture to computer graphics and Artificial Intelligence (AI).

Focusing on game-specific technologies, such as shaders, computer vision and virtual reality (VR), you can work in multidisciplinary teams on group projects to both challenge you and enhance your teamwork skills. You'll have access to industry- standard hardware and software, in dedicated labs with high performance graphics cards.

In your fourth year, you can choose to take a year-long placement in the industry to further your knowledge and skills. Studying Computer Science with Games Programming BSc(Hons) can boost your career opportunities and open doors to careers with substantial earning potential, enabling you to shape the life you want in the future.

The post-university opportunities for graduates are varied, and you could go on to have a career in roles such as a games programmer, working in gameplay or AI, or within the computing field as a software developer, systems programmer, or applications developer. Graduates from courses in this subject area have gone on to work in a variety of roles, including gameplay and engine programmer, senior AI programmer, associate producer, and DevOps engineer, in organisations including Spotify, Rockstar Games, Sony Interactive Entertainment Europe and IBM**.

/*Source: LinkedIn

Entry requirements

CC at A Level .

64 UCAS tariff points from a combination of Level 3 qualifications.

Pass in T Level , D or E grade on core.

MPP in BTEC Level 3 Extended Diploma.

  • Access to Higher Education Diploma with 45 Level 3 credits at Merit or above.
  • 64 UCAS tariff points from International Baccalaureate qualifications.

In addition, you must have GCSE Maths at grade 4 or above, or grade C, or above in the previous grading scheme.

If your first language is not English, you will need to meet the minimum requirements of an English Language qualification. The minimum of IELTS 6.0 overall with a minimum score of 6.0 in writing and no element lower than 5.5, or equivalent. Read more about the University’s entry requirements for students outside of the UK on our International Entry Requirements page. If you have alternative qualifications or do not meet the IELTS requirement we also offer a range of Pre-Sessional English Programmes.

Other suitable skills or experience will be considered. For further information please see the University's minimum entry requirements.

Course Detail

Communication and Research

In this module you will explore the importance of communication in computing and engineering. With the opportunity to practice this in both written and verbal forms and gain confidence in presenting to a group. You will also explore how to source relevant and well documented information to support your reporting needs. These research and communication skills will form the basis for your ongoing needs as a professional engineer.

Foundation Mathematics

In this module you explore and practice using the necessary mathematical tools and principles required for your first-year studies. You will begin with some basics in arithmetic, algebra, and trigonometry these will be followed rapidly by the more advanced areas of sets, matrices, vectors and calculus.

Foundations of Computer Science

This module will allow you to consider some of the main areas of study within computing and information technology. You will develop knowledge and understanding of computer systems and the principles of computing (including programming), as well as how these are applied to the solution of problems in the real world.

Computational Thinking

Problem solving, whether by human or by a computer, demands an in-depth understanding of the strengths and weakness of its underlying process. Computational thinking underpins the core fundamentals of this process by incorporating problem description, decomposition, abstraction and ultimately realisation. This module introduces you to the theoretical foundation of computational thinking through a collection of problems with incrementally challenging complexity. You will then put these concepts into practice through the introduction of key programming principles. These all serve as a gateway into further study on core computer science subjects such as discrete mathematics, data structures and algorithms.

Core modules:

Computing Science and Mathematics

In this module we introduce you to basic computing science and mathematical concepts related to software development. Topics covered include set theory, graphs and trees, finite state machines, grammars and languages, propositional logic and searching and sorting algorithms. You’ll put the theory into practice using a programming language and software that lets you directly implement finite state machines.

Project 1

Working as part of a team, this module aims to provide you with an understanding of hardware, software and industry best practices used by businesses. In your teams you’ll be supported in planning, designing and developing a prototype product. This experience has been designed to introduce you to the product development cycle, technology limitations and possible future developments.

Computer Organisation and Architecture

This module will provide you with fundamental knowledge of computer hardware and systems software. You will gain knowledge in the fundamentals of computer hardware ranging from basic digital logic to instruction sets and microarchitecture. The practical elements of this module will equip you with an ability to work with basic system software at a machine instruction-level.

Introduction to Procedural Programming

This module aims to introduce you to the core programming concepts using procedural programming fundamentals. In addition, you will gain knowledge of variables, operators, and control flow including loops and branches, functions and data types.

Computer Network Fundamentals

This module introduces the core fundamental principles of computer networking. You will gain knowledge of the theoretical concepts of networking, such as addressing, switching and routing. Furthermore, you will be exposed to key issues, such as network security, along with typical techniques used to address these issues. In addition to the theoretical aspects of networking, you will plan, design and implement practical solutions using live or simulation tools.

Introduction to Object-Oriented Programming

This module aims to introduce you to fundamental programming concepts using an object-oriented programming approach. Additionally, you will gain knowledge of high-level notions of algorithms, data structures, and program testing and evaluation.

Core modules:

Real-time Graphics

This module introduces the concepts and practices of modern computer games development through analysing and utilising various common computer graphics application programming interfaces (APIs in an industrial standard C++ programming environment). Our aim is to equip you with knowledge and skills in designing and developing a professional computer game for any targeted platforms through a rigid quality control process. The main focus is on the graphics engine, and this is supported by a careful study of the theory and practice of game mathematics and computer graphics.

Game Engine Architecture

This module aims to familiarise you with the major non-graphical components of modern game engines including the resource management and physics subsystems. It also covers the game object model and the various tools used to build a game, such as level editors. The module covers both the theory and implementation of these typical components, as well as the overarching architecture of the game engine. You will be supported in using a games industry standard programming language (e.g. C++) to explore approaches to game engine design and development. You will also study engines and middleware used by industry (e.g. Unreal Engine, BulletPhysics) to help you gain an understanding of the challenges facing professional game engine programmers.

Team Project (Games)

You will partake in multiple weeklong game jams, working as part of a team to design, develop and produce a game. The module will allow you to develop your understanding and practical abilities in games production processes on both a technical and professional level, with a strong focus on team and communication skills and encouraging an active approach to individual professional development and team responsibilities. You and your team are expected to conform to professional working standards and follow an agreed code of conduct as part of the module; individual contributions to teamwork and attendance on timetabled sessions contribute to assessment and will be monitored.

Algorithms and Data Structures

In this module you will be supported in expanding your programming skills to cover a range of standard data structures (e.g. lists, trees and graphs) and algorithms (e.g. searching, sorting and traversals) for both sequential and concurrent systems. You will also study how to analyse systems in order to determine their complexity, correctness and safety, and to calculate their efficiency.

Introduction to Artificial Intelligence

Can machines (in particular computers) be intelligent? And what does that mean precisely? These are the main questions that we try to answer in this module. We will explore how machines can achieve intelligent tasks in a variety of settings. In the first half of the module we consider settings with full observability and determinism, these are like laboratory conditions or puzzle games. In this setting, we will look at knowledge representation, problem solving, and planning. In the second half of the module the settings are relaxed, and we will study how to deal with the uncertainties that arise from this. In particular, we will see how to deal with opponents, with incomplete and/or uncertain information, and how intelligent agents can learn.

Option modules:

Choose one from a list which may include:

Object-Oriented Systems Development

This module allows you to explore the programming language that underpins major operating systems, applications, the Internet and the World Wide Web. Throughout this module you’ll be supported in expanding on the procedural and object-based coding skills that you have developed so far. You’ll be given an introduction to 'C' programming leading into C++ programming with a push toward Objective-C. You’ll then be supported in building a client-server system where the client could be a smartphone, tablet or a desktop PC. Techniques for accessing Object Request Brokers and databases will be covered, and the concept of Design Patterns will be introduced.

Computational Mathematics 1

This module covers the mathematical foundations required for scientific computing. You’ll be introduced to fundamental concepts in algebra and be supported in developing an understanding of both analytical and numerical methods for solving equations in one variable. You'll also be introduced to error analysis and proof.

Operating Systems

In this module you will study the architectures of computer operating systems, including how they deal with resource allocation, management and security, in both single processor systems and multiple distributed processor systems (networks).

This course offers an optional one-year work placement after Year 2.

Core modules:

Individual Project

This module is driven by you. You are asked to select a problem to solve which is relevant to your degree, and of appropriate scope and depth to be tackled within a timeframe of 30 weeks. Carrying out the project enables you to develop and demonstrate your ability to undertake research, manage time, use your initiative, learn independently, discuss and write convincingly on a subject requiring independent learning. A supervisor will support you throughout your project. You’ll use your existing knowledge and be encouraged to acquire additional skills as you carry out your project. The aim of the project is to suggest a solution to an identified problem. Your final report should describe the aims, scope and motivation of the project, the research you have undertaken, and the technical solution provided, including justification for design and development decisions.

Advanced Computer Games Development

This module aims to develop your abilities in advanced specialist skills in computer games development. It covers advanced games programming technologies and techniques, particularly relating to innovative gaming interface systems. The module will explore the advancements in, and potential of, such novel Human Computer Interface (HCI) technologies for future developments in games and new game genres. It also introduces technologies and tools for defining and measuring software quality through adopting Software Metrics, Software Quality Models, and Process Maturity Model.

Team Project (Games)

Teams of approximately 8 students will form a games development team, allocating production roles and responsibilities as per standard games industry studio structure. Working from an agreed design outline, you will develop a professional quality game, to either a publishable standard or in the case of larger titles a vertical slice with the potential to attract publisher investment. You are expected to conform to professional working standards and an agreed code of conduct, this will include polished pitching and proposals, collaborative team working driven via sound project management and structured task assignment alongside an Agile development approach.

Option modules:

Choose one from a list which may include:

Data-driven Artificial Intelligence

Recent advances in information technology have facilitated massive collection of data in numerous areas, leading to major developments in data-driven Artificial Intelligence (AI) approaches. This module allows you to obtain a fundamental understanding of such approaches, particularly advanced machine learning techniques to construct intelligent systems capable to recognise, classify, or decide, among others. We will consider several widely known approaches, including deep learning, and investigate typical applications and potential limitations. You will learn which techniques are appropriate for which learning problem and their advantages and disadvantages. You will have the opportunity to apply this knowledge using industry standard tools and delve into high profile data-driven applications such as medical imaging and natural language processing.

Computational Mathematics 2

This module aims to provide you with an understanding of computational perspectives of mathematics, with an emphasis on matrix methods and data modelling. You’ll be supported in developing the ability to use both analytical and numerical techniques for solving large systems of linear equations and in analysing the resulting algorithms in terms of robustness, performance, stability and accuracy. You’ll be encouraged to broaden your mathematical understanding by applying your knowledge to real-world problems in developing solutions to a range of computational challenges using industry standard software (such as Matlab).

This course has modules making up 480 credits over the 4 * years, with each credit being 10 hours of study (4800 hours in total). An average approximately ** 20% (889 hours) of the study time on this course is spent with your tutors face to face or online in lectures, seminars, tutorials and workshops. The remainder of the time will be spent on independent study. Assessment is varied and includes assignments, exams and project work, with a focus on practical work. There are opportunities for group working, in addition to individual assessments.

*Subject to mode of study.

**Based on current core and compulsory modules.

Calculated using data from the academic year 2024/25, as of November 2024.

Teaching

The teaching year for most courses normally starts in September with breaks at Christmas and Easter, finishing with a main examination/assessment period around May/June. Teaching on other courses including professional courses, postgraduate taught, research, distance learning and apprenticeship may have other start dates including January and May. All start dates can be found on each course page and term dates are also available. Students on a full-time course may have to attend every day of the week. Students who choose to study a full-time course on a part-time basis will generally attend modules at the same time as our full-time students. Timetables are normally available one month before registration.

Our courses are taught at our University campus and you can expect that your lectures and seminars will be held face to face, except in cases of emergency or if specifically stated otherwise in the module description.

Feedback

Feedback (usually written) is normally provided on all coursework submissions within three term time weeks – unless the submission was made towards the end of the session in which case feedback would be available on request after the formal publication of results. Feedback on exam performance/final coursework is available on request after the publication of results.

Progression

You may progress to the next stage of your course or research degree, subject to meeting University assessment criteria and professional, statutory or regulatory body guidelines.

  1. The University of Huddersfield has been rated Gold in all three aspects of the Teaching Excellence Framework (TEF) 2023. We were the only university in Yorkshire and the Humber and the North West to achieve Gold ratings in all three aspects of the TEF among those announced in September 2023. In fact only 13 Universities, out of the 96 that were announced in September 2023, were Gold in all three ratings.

  2. Further proof of teaching excellence: our staff rank in the top three in England for the proportion who hold doctorates, who have higher degrees, and hold teaching qualifications (HESA 2024). So, you’ll learn from some of the best, helping you to be the best.

  3. We are first in the country for National Teaching Fellowships, which mark the UK’s best lecturers in Higher Education, winning a total of 22 since 2008 (2023 data).

  4. We won the first Global Teaching Excellence Award, recognising the University’s commitment to world-class teaching and its success in developing students as independent learners and critical thinkers (Higher Education Academy, 2017).

At Huddersfield, you'll study the Global Professional Award (GPA) alongside your degree* so that you gain valuable qualities and experiences that could help you to get the career you want, no matter what your field of study is. On completion of the Award, you'll receive a GPA certificate from the University of Huddersfield, alongside the specialist subject skills and knowledge you gain as part of your degree, which may help to set you apart from other graduates.

Giving students access to the Global Professional Award is one of the reasons the University won ‘Best University Employability Strategy’ award at the National Graduate Recruitment Awards 2021. Find out more on the Global Professional Award webpage.

*full-time, undergraduate first degrees with a minimum duration of three years. This does not include postgraduate, foundation, top-up, accelerated or apprenticeship degrees.

Placements

This course offers you the chance to undertake an optional placement in Year 4. This opportunity helps you to build on the knowledge and skills developed on the course. You will be employed by the company for 12 months, but the actual number of weeks worked will be dependent on the annual leave entitlement you are given in line with the placement company’s policy.

The placement year is a valuable tool that can enhance your employability and help you to develop as an individual. It is acknowledged that graduates with industry experience are generally much more attractive to employers.

The Placement team support you in finding suitable placement opportunities, through timetabled and drop-in sessions as well as by appointment. They will assist you with preparing your CV and with interview techniques. They'll also be in contact with you during your placement so that you'll be fully supported while you gain the experience that employers value so highly. They are regularly in contact with local and national companies. Previous students have spent their placement year at companies including Axia Digital, CGI IT UK Limited, Bank of America and Control Software Solutions.You can find more information on placements here.

Computing


A tour of our Department of Computing facilities

Ever wondered how you will use our facilities as part of your course? Follow Isobel on a tour who explains all.

Discover more about the course

Your Career

Discover the job roles our graduates are working in now.

Inspiring Graduate

Get inspired by real students and their careers.

Careers advice

Check out the personalised guidance we offer you.

Student Support

Discover all the support available so you can thrive.

Further Study

Learn about pursuing a Master’s or PhD at Huddersfield.

Research Excellence

See how our innovative research shapes what you'll learn.

Important information

We will always try to deliver your course as described on this web page. However, sometimes we may have to make changes as set out below.

Changes to a course you have applied for

If we propose to make a major change to a course that you are holding an offer for, then we will tell you as soon as possible so that you can decide whether to withdraw your application prior to enrolment.

Cancellation of a course you have applied for

Although we always try and run all of the course we offer, we may occasionally have to withdraw a course you have applied for or combine your programme with another programme if we consider this reasonably necessary to ensure a good student experience, for example if there are not enough applicants to ensure you have a good learning experience. Where this is the case we will notify you as soon as reasonably possible and we will contact you to discuss other suitable courses with us we can transfer your application to. If we notify you that the course you have applied to has been withdrawn or combined, and you do not wish to transfer to another course with us, you may cancel your application and we will refund you any deposits or fees you have paid to us.

Changes to your course after you enrol as a student

We will always try to deliver your course and other services as described. However, sometimes we may have to make changes as set out below:

Changes to option modules

Where your course allows you to choose modules from a range of options, we will review these each year and change them to reflect the expertise of our staff, current trends in research and as a result of student feedback or demand for certain modules. We will always ensure that you have a range of options to choose from and we will let you know in good time the options available for you to choose for the following year.

Major changes

We will only make major changes to the core curriculum of a course or to our services if it is necessary for us to do so and provided such changes are reasonable. A major change in this context is a change that materially changes the services available to you; or the outcomes, or a significant part, of your course, such as the nature of the award or a substantial change to module content, teaching days (part time provision), classes, type of delivery or assessment of the core curriculum.

For example, it may be necessary to make a major change to reflect changes in the law or the requirements of the University’s regulators; to meet the latest requirements of a commissioning or accrediting body; to improve the quality of educational provision; in response to student, examiners’ or other course evaluators’ feedback; and/or to reflect academic or professional changes within subject areas. Major changes may also be necessary because of circumstances outside our reasonable control, such as a key member of staff leaving the University or being unable to teach, where they have a particular specialism that can’t be adequately covered by other members of staff; or due to damage or interruption to buildings, facilities or equipment.

Major changes would usually be made with effect from the next academic year, but this may not always be the case. We will notify you as soon as possible should we need to make a major change and will carry out suitable consultation with affected students. If you reasonably believe that the proposed change will cause you detriment or hardship we will, if appropriate, work with you to try to reduce the adverse effect on you or find an appropriate solution. Where an appropriate solution cannot be found and you contact us in writing before the change takes effect you can cancel your registration and withdraw from the University without liability to the University for future tuition fees. We will provide reasonable support to assist you with transferring to another university if you wish to do so.

Termination of course

In exceptional circumstances, we may, for reasons outside of our control, be forced to discontinue or suspend your course. Where this is the case, a formal exit strategy will be followed and we will notify you as soon as possible about what your options are, which may include transferring to a suitable replacement course for which you are qualified, being provided with individual teaching to complete the award for which you were registered, or claiming an interim award and exiting the University. If you do not wish to take up any of the options that are made available to you, then you can cancel your registration and withdraw from the course without liability to the University for future tuition fees and you will be entitled to a refund of all course fees paid to date. We will provide reasonable support to assist you with transferring to another university if you wish to do so.

When you enrol as a student of the University, your study and time with us will be governed by a framework of regulations, policies and procedures, which form the basis of your agreement with us. These include regulations regarding the assessment of your course, academic integrity, your conduct (including attendance) and disciplinary procedure, fees and finance and compliance with visa requirements (where relevant). It is important that you familiarise yourself with these as you will be asked to agree to abide by them when you join us as a student. You will find a guide to the key terms here, along with the Student Protection Plan, where you will also find links to the full text of each of the regulations, policies and procedures referred to. You should read these carefully before you enrol. Please note that this information is subject to change and you are advised to check our website regularly for any changes before you enrol at the University. A person who is not party to this agreement shall not have any rights under or in connection with it. Only you and the University shall have any right to enforce or rely on the agreement.

Equal opportunities

The University of Huddersfield is an equal opportunities institution. We aim to create conditions where staff and students are treated solely on the basis of their merits, abilities and potential, regardless of gender, age, race, caste, class, colour, nationality, ethnic or national origins, marital status, disability, sexual orientation, family responsibility, trade union activity, political or religious belief, or age. Please visit our website to see our Equal Opportunities and Diversity Policy

Data protection

The University holds personal data on all enquirers, applicants and enrolled students. All such data is kept and processed in accordance with the provisions of the Data Protection Legislation. The University’s Data Protection Policy and Privacy Notices are available on the University website.

Students’ Union membership

Under the 1994 Education Act, students at all UK universities have the right to join, or not to join, the Students’ Union. There is no membership fee. If you choose not to join you have the right not to be disadvantaged; however, you are not entitled to vote, take part in elections, or hold any office. The following arrangements apply in order that non-Union members are not disadvantaged: Non-members are welcome to take part in the activities of Affiliated Clubs and Societies on payment of the appropriate subscription. However, they may not vote or hold office in the society or club. Union members may be offered a discounted subscription. Non-members are free to use Union facilities on the same basis as members. Welfare, catering and shops are available to non-members as well as members. Union members may be offered a discounted price.

The Office for Students (OfS) is the principal regulator for the University.

You may also be interested in...

Computer Science with Foundation Year BSc(Hons)

Full-time

Undergraduate

Study a range of topics in this Computer Science with Foundation Year from software engineering to artificial intelligence or distributed computing, to help build your knowledge and develop your skills.

Find out more How to apply

Computer Science with Artificial Intelligence with Foundation Year BSc(Hons)

Full-time

Undergraduate

This integrated foundation course will give you the opportunity to learn how to build intelligent systems that transform everyday lives.

Find out more How to apply

Computer Science with Cyber Security with Foundation Year BSc(Hons)

Full-time

Undergraduate

The monetary value of data has led to an increase in cyber-crime, so by studying the Integrated Foundation Computer Science with Cyber Security degree, your skills are in high-demand.

Find out more How to apply

Computing with Foundation Year BSc(Hons)

Full-time

Undergraduate

Our integrated foundation course covers topics including software engineering, cyber security, plus a foundation of knowledge in of all aspects of computing.

Find out more How to apply

Software Engineering with Foundation Year BSc(Hons)

Full-time

Undergraduate

As industries develop the requirements of software engineering change rapidly too. Our integrated foundation course aims to give you the skills to shape what’s possible.

Find out more How to apply

View more courses