Computer Science

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https://www.staffs.ac.uk/course/computer-science-bsc

Computer Science BSc (Hons) - University of Staffordshire

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Computer Science

BSc (Hons)

Choose a study option

Full-time

Full-time, with a foundation year

Full-time, with a placement year

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Location

Stoke-on-Trent campus

UCAS code

I743, I737

I744, I739

I738, I745

Start dates available

January 2027

September 2027

January 2028

Apply now

Industry aligned

Aligned with British Computer Society (BCS) standards

State of the art facilities

Specialist Computing, AI, Networking, and Cyber laboratories

GradEX Showcase

Present your final-year project to industry judges and employers

You’ll gain far more than just a Computer Science degree with us. We equip students with the skills and practical experience to become highly employable.

From the industry-standard facilities you’ll use, through to opportunities to gain Amazon Web Services (AWS) and Cisco certifications, we know what makes the difference.

And as most of our Computer Science students opt for a paid placement year, you’ll have the chance to work in industry before you graduate. These exciting placements can be with companies locally, nationally or as far afield as the US and Singapore.

It’s just one element of the amazing industry links you’ll encounter. We also have guest lectures and academics who are AWS-certified educators. GradEX, our Final Year Graduate Show, is also where students ‘sell’ their projects to a panel of industry judges.

The course will give you a solid foundation in all major aspects of computing. It includes digital technologies, artificial intelligence, network concepts, cyber security, programming, software development, cloud computing, and emerging technologies. From user experience through to mastering programming languages, such as JavaScript and Python, you’ll see how everything knits together.

You’ll do everything from a real-world perspective, with opportunities to complete live briefs and set up your own simulated companies. It means you’ll become agile and flexible – qualities valued by graduate recruiters.

Our facilities also include the latest equipment you’ll find in industry. Use our learner labs to experiment and create networks. Or explore the cloud environment with your own AWS account. And in our Collision Space, we have a video wall and group project desks to give you the feel of a real workplace.

This hands-on experience is one of the reasons why we’re ranked in the Top 25 for student satisfaction in Computer Science (2023 Guardian League Tables).

On successful completion of study, we will issue the following award: BSc (Hons) Computer Science

University of Staffordshire undergraduate courses are usually 3 years for full-time study.

Courses which offer other study options have longer durations:

Full-time with a placement year, 4 years

Full-time with a foundation year, 4 years

Work placements

Each year, we place around 200 students with leading names in computing, both in the UK and abroad. Firms include Sky, CERN, BAE Systems, BMW and IBM, along with AWS, Cisco and Juniper. Students have also been placed with companies such as Options IT, which keeps the infrastructure running for the London Stock Exchange.

If you do your placement with a large business, you could spend time at up to three locations – spanning the globe. Destinations have included Germany, Switzerland, the Netherlands, Hong Kong and the US.

Closer to home, we also work with lots of companies offering students experience as software developers, web designers and junior programmers. They include bet365 and TopCashback.

Course content

Throughout the degree, you’ll take a variety of modules, giving you a broad knowledge of Computer Science.

If you choose to take a Foundation Year, we’ll build up your academic skills so you are ready to join the main degree programme. You’ll study topics in key areas, including emerging technologies, industry practice, networking, artificial intelligence, and cyber.

The first year of the BSc (Hons) Computer Science degree course includes aspects of software development, industry practice, networks, cyber, and artificial intelligence.

In the second year, core modules will make up 75% of your studies and will include tackling business computing projects, databases, and programming, and an option ranging from machine learning to digital forensics so you can tailor your course to your future career ambitions.

In your final year, you’ll delve deeper into your specialisms, as well expanding further on your general computing knowledge. Your course will culminate in a Final Project, which will be negotiated with your course leader. This is a great opportunity to explore a topic in depth and also good preparation if you want to continue studying at postgraduate level.

Students do all sorts of things for their Final Project, from going into aspects of software engineering through to exploring biometrics for cyber security. Some are inspired by their placement experience and even complete their project with support from their placement provider.

Professional body accreditation

This course is accredited as 'Tech Industry Gold' by the Tech Partnership Degrees. This identifies courses defined and backed by the Tech industry for quality and relevance to technology careers. Tech Industry Gold degrees blend the technical, business and interpersonal skills most valued by employers.

We continuously update our course modules to ensure our curriculum reflects the latest industry trends and insights. Our module content is refined in collaboration with professional and regulatory bodies and partners. As such, this course is currently undergoing re-accreditation with British Computer Society (BCS), with confirmation expected before September 2027.

The tables provide an indicative list of the modules that make up the course for the current academic year. Each module is worth a specified number of credits. Our teaching is informed by research, and modules change periodically to reflect developments in the discipline. We aim to ensure that all modules run as scheduled. If for any reason a module cannot be run we will advise you as soon as possible and will provide guidance on selecting an appropriate alternative module where available.

Year 1 compulsory modules

Cloud And Network Technologies

30 credits

Computing Project

Cyber Security And Artificial Intelligence

Programming Concepts

Year 2 compulsory modules

Computing Teamwork, Professional Practice And Business Analysis

Data Structure And Algorithms

Full Stack Development

Show 5 optional modules

Year 2 optional modules

Ai Algorithms And Machine Learning

Digital Forensics Fundamentals

Ethical Hacking

Networking Architecture

Software Testing And Assurance

Show 3 compulsory modules

Year 3 compulsory modules

Advanced Ai - Data Systems & Distributed Applications

Advanced Computer Science: Emerging Technologies And Contemporary Practice

Final Year Project

60 credits

In this module, you will learn some fundamental mathematical principles of artificial intelligence and machine learning and learn and practice several techniques for building and testing machine learning models. You will also learn about the principles of an Artificial Neural Network and be able to articulate the operation of the fundamental components and how they interact. You will learn about evolutionary algorithms, techniques for building adaptive and self-learning ML models. You will also learn about how machine learning can be applied to search for optimal solutions using multiple agents. You will also learn fundamental principles of cyber security, as well as how these fit into the wider computing landscape. You will also learn about core cyber security technologies and techniques, and how these are used to secure a wide range of computational systems and networks.

Module code: COMP40085

This module is intended to equip you with not only the knowledge but also the practical skills to be able to create and understand an enterprise grade network. The Syllabus incorporates the content of the Cisco CCNA qualification (Network fundamentals and routing/switching fundamentals). You will look at the transition which is taking place of moving corporate data and infrastructure to a Cloud based environment and ensuring that this meets the requirements of local legalization and locally defined security requirements. This module will make use of the Amazon Web Services (AWS) Academic Learning Environment to allow students to build confidence in Cloud computing.

Module code: COMP40083

This module will introduce to you real-world computing problems that exist in the business world. Case studies are extensively used in order you work within a team to investigate a problem and look to find best solutions from several options. In doing so you will develop both project management and research-based skills which will benefit you throughout your course. To help in your learning you will be provided accepted theory and approaches that you will attempt to put into practice. You will work within realistic teams with dedicated roles and will experience real world activities and tasks. Part of the module also focuses on careers and the requirements to gain the knowledge of background requirements within industry.

Module code: COMP40084

In this module, you will begin an exciting journey of discovery that will lay the programming foundation for both your academic and professional career. You will focus on designing and developing programs in a current language, such as Java or Python, and web applications in HTML, CSS and JavaScript. On the way, you will also learn about analysing problems, modelling solutions, and testing programs. You will also experience industry-standard methods, and tools to develop applications.

Module code: COMP40086

In this module, you will learn about further coding, data structures and algorithms, and practice these principles by producing applications. The module has a heavy focus on being hands on so you will be exposed to many simulation and case study exercises to trial out and develop your skills. Allied to practical hands-on activity you will also develop your evaluation skills.

Module code: COMP50116

Ever wondered what are the key elements in Digital Forensics? Well in this module, you will learn the principles and practice of digital forensic investigation, focusing on how digital evidence is acquired, analysed, and presented in a forensically sound manner. You will explore forensic methods across a range of digital platforms, including computers and mobile devices, and gain practical experience using industry-standard tools and techniques. The module develops both technical and professional skills required for digital forensic investigations in legal and organisational contexts.

Module code: COMP50117

In this module, you will develop the practical skills required to work as an ethical hacker and penetration tester. You will learn to think like an attacker, using the same tools and techniques employed by malicious hackers, but within strict legal and ethical boundaries to help organisations identify and fix their security weaknesses.

Module code: COMP50118

This module will show you how to build full stack applications including the use of current client and server frameworks to build applications. You will evaluate the most appropriate framework for a given situation and assess the impact this has on developers and end-users. You will also look at how frameworks and libraries can help you access data from a variety of sources. It will also extend your programming knowledge for client and server-side applications.

Module code: COMP50119

In this module, you will develop professional skills required for computing roles by analysing organisational problems and working collaboratively to design and justify digital solutions. You will explore business analysis techniques, system modelling, and project management approaches while applying professional and ethical standards. The module emphasises teamwork, professional judgement, and employability, preparing you for industry-focused computing roles and further study.

Module code: COMP50115

On this module you will learn why routing and switching are considered as part of the core of networking. Once the network is designed well for these technologies other features such as security can then be built upon this. This course will look in detail at the choices within routing and switching to see why design decisions are made and for you to understand these choices. The emphasis of this course will be from the viewpoint of a medium to large scale organisation.

Module code: COMP50121

In this module, you will learn how to build and evaluate practical machine learning solutions to real-world problems. You will explore a range of core supervised and unsupervised algorithms, learn how to prepare and model data using contemporary tools, and develop the skills needed to compare, tune and justify different approaches. Through a combination of hands-on labs and an individual project, you will design complete machine learning pipelines, critically evaluate model performance, and communicate your findings in a way that aligns with professional AI and data science practice.

Module code: COMP50113

Within this module you will explore computing systems and development from an evaluation perspective. In doing so you will familiarise yourself on criteria that can form a testing benchmark. In establishing this you will then through case studies review applications to build a context on what needs and can be tested. Formally you will devise test plans and use these to test actual applications for their effectiveness. The module takes a strong basis on the Agile lifecycle.

Module code: COMP50122

In this module, you will advance your skills in building data-intensive distributed applications that operate across networks and serve multiple users. You will design and implement robust services that consume real-time data and integrate data-systems and AI-enabled components. You will also evaluate key distributed systems trade-offs such as concurrency, scalability, fault tolerance, and security. You will finally justify your design decisions using professional, evidence-based reasoning.

Module code: COMP63052

This is your opportunity to create something totally unique as the culmination of your course. It is your chance to define your difference, no two projects are ever the same. You will begin by developing an idea into a proposal, outlining the intention of the work. You will then develop this into an artefact suitable for your course, such as a piece of software, a specification or a code of practice by undertaking rigorous, professional academic research techniques and applying the summation of your knowledge and skills from your course, work experience, if possible, and personal development. All of this work will be presented in a professionally produced, academic report detailing your findings and reflections on your achievement.

Module code: COMP63059

In this module, you will explore advanced and emerging areas of computer science through independent, research-led investigation. You will critically examine contemporary technologies, evaluate their technical and societal impact, and identify future challenges and opportunities. The module develops advanced research, analysis, and communication skills, preparing you for postgraduate study or professional roles in rapidly evolving areas of computing.

Module code: COMP63053

Entry requirements

What do I need?

112-120 UCAS points

A Levels

Work out your estimated grades using the UCAS calculator

Other UK qualifications

Access to HE Diploma - Pass Access with a minimum of 80 UCAS tariff points. Applicants to Staffs who are taking the Access to HE Diploma receive a reduced tariff point offer as part of our access and participation plan activity

UAL Level 3 Extended Diploma - grade of Merit overall

OCR Cambridge Technical Extended Diploma - grade DMM

T Levels - Eligible T Level applications will be asked to achieve a minimum overall grade of P (A*-C) or Higher Pass as a condition of offer

International and mature students with different qualifications and experience are also encouraged to apply.

We welcome applications from students studying a range of international and UK qualifications, including Advanced Skills Baccalaureate Wales, Scottish Highers/Advanced Highers and the Irish Leaving Certificate. Offers will normally be made in line with our standard entry requirements and may include specific grade requirements in relevant subjects.

Ideally you will be educated in Maths to grade C (Grade 4) at GCSE or above, however, if you do not have this we recommend you to contact the University so we can advise you.

We understand that you might have experienced a challenging run up to higher education and may have not met the entry requirements as listed. If this is the case don’t worry, contact us and our team of expert advisors can guide you through the next stages of application, or help you find the perfect course for your needs.

International entry requirements

For equivalent entry requirements in your home country, please see the information on our country pages.

International entry requirements in your country

Get country-specific details on entry requirements, fees, scholarships and support services. Choose your country to see how University of Staffordshire can support you from application to arrival.

Select your country

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Canada - Alberta

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Seychelles

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Tanzania

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Trinidad and Tobago

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Check your country information

Facilities

This course will benefit from a range of specialist and non-specialist labs available in the Mellor Building. Specialist labs available are an isolated Cyber Security lab (with Encase, XRY and other Cyber and Forensic tools), Software Engineering lab (with APP development and methods software), Mobile and devices lab (with simulators and physical devices), Web computing lab (with scripting, programming, and creative software), Usability lab (with eye-tracker software and user cameras), Data Analytics lab (with Database and Analytic tools), two Networking Labs (with Juniper, Amazon Web Services, and CISCO technologies), and An Artificial Intelligence and Robotics lab (with robots and robotics arms). In relation to non-specialist labs there 4 available within the Mellor Building. There is also a SMART Zone where students can use a wide array of 3D metal and plastic printers.

Previous

Cyber/Biometrics Lab

Our Cyber Lab contains dual screen PCs bound within a dedicated isolated network. Our in-house developed virtual machines and environment enables several types of cyber protection to be developed, and ethical hacking investigations to take place. Read more

Find out more: Networks and Cyber Security.

Watch video

Real Time Lab

Our Real Time Lab has a suite of 20, 6 axis programmable robotic arms, autonomous vehicles, micro-controllers, motors, sensors and state-of-the-art design suites for embedded software programming and electronic design.

Networking Labs

The networking labs consist of three fully equipped Cisco labs with around 340 devices, plus a Juniper set-up which can be incorporated into courses. Read more

Find out more about our networking facilities.

Software Development Tools

You'll have access to development environments for desktop, mobile and enterprise applications as well as access to common IDE’s Visual Studio, Visual Code and Rider, with the ability to test and deploy to a range of devices and configurations.

Usability Testing

Observations, eye-tracking data and recorded usability video footage can be used to analyse how people interact with software systems such as games, web and mobile applications.

Data Analytics Tools

Get access to software including Oracle and SQL Server, and NoSQL data stores such as MongoDB. You'll also have physical and virtual environments to develop practical skills.

Featured videos

Jemima chose Computer Science over becoming a doctor to help people and save lives.

Finding His Future: Connor’s Story

Why we chose Computing at UoS

Day in the life of a Computing student

AI and Robotics Lab

Our Computer Science graduates are snapped up by employers as their skills are in high demand. Some get offered jobs through their placements and join the firms full-time after they complete their degree.

With a need for thousands more computer scientists in the UK, it’s a specialist field with huge opportunities for our graduates. Cloud technologies are another major growth area.

Many of our graduates also go on to work for tech companies as junior engineers. But there are so many roles that fit seamlessly with a Computer Science background including Artificial Intelligence and Cyber Security.

Possible careers including becoming a computer systems analyst, database administrator, computer hardware engineer, computer network architect, UX designer, artificial intelligence developer, or computer programmer.

Students on this programme have the opportunity to enhance their studies with a placement year, gain valuable work experience, and take part in international activities—potentially supported by the Turing funding.

All students have access to Careers, Placements & Employability, our dedicated careers team.

Open Day

Saturday 28 November 2026

Experience student life for yourself. It's a fantastic opportunity to explore our career-focused courses, next-level education, industry-standard facilities, and comprehensive student support.

Book now

Teaching and assessment

Teaching

This course will predominantly teach you through formal lecture session and practical classes. Lectures will deliver theoretical knowledge to you. Practical sessions will be used to take this theory and put it into practice and may take the form of programming or technology related activity, presentations and seminars, and 'live' brief exercises.

Assessment

This course has a rich diet of assessment methods, of which each is chosen to map to the teaching and expected learning. On this course you will undertake assessments of the following: Class tests (up to 1 hour), Practical assignment work (individual or group-based), Portfolio of work, Report (individual or group-based, and Presentations (individual or group-based).

Learning support

Tutors will support students throughout their modules in class time. Outside of this there will be support sugery sessions, additional class activities, as well as the option to request individual 1-2-1 sessions.

Additional support

On joining students with additional needs will have these assessed prior to starting their modules to determine how additional support can be put in place for them. Where possible staff will always make reasonable adjustments to provide the best learning experience possible.

Feedback

Students will receive provisional feedback on each of their assessments within 20-days. Provisional grades are fed into progress and award boards in order that student achievement can be gauged. After each board students will receive formal notification as to how well they are doing and that they have passed all modules. If they do not pass all modules a retrieve opportunity will be presented to them.

Independent learning

For each of your modules you will undertake activities outside of classes to enhance in-class learning. This can include programming tasks, design activity, group work, reading, research, and testing activities.

The team within the Department are all specialist in Computer Science and its attendant sub-disciplines. You will be taught by Professors, Doctors, as well as staff that have a wealth of industrial experience. You will find that staff will hold certifications, and are qualified as instructors in AWS - Amazon Web Services, Cisco, XRY, Encase or Microsoft.

Please note, teaching team staff members may change during your studies.

Robin Oldham

Course Director

Robin Oldham is Course Director for Computer Science and Digital Apprenticeships at Staffordshire University having worked in Higher Education for 20+ years as a Lecturer, Manager and Technology Professional

Robin's profile

Stephen Cahill

Senior Lecturer

Steve is a Networks and Server Specialist who focuses primarily on teaching Virtualisation and Infrastructure Modules. His area of interest is primarily Hardware Platforms and Monitoring Systems.

Stephen's profile

Fiona Knight

Fiona is a senior lecturer in Computer Science, specialising in web development, user interfaces and mobile application development. She is a second-year leader for Computer Science, and is a specialist on the web and software development routes.

Fiona's profile

Dr Carolin Bauer

Carolin has been working for Staffordshire University for a number of years in her capacity as a senior lecturer. She is currently the Course Leader for the MSc Software Engineering course.

Carolin's profile

Dr Justin Champion

Justin has worked for the University for a number of years as a Senior Lecturer in Networking. He is a member of the university's CISCO teaching team and has a wide set of experiences within this field, and has mostly specialised in the area of…

Justin's profile

Dr Benhur Bakhtiari Bastaki

Associate Professor in Artificial Intelligence

Dr Benhur is an Associate Professor of Artificial Intelligence in the School of Digital, Technologies & Arts. He previously served as Course Leader for BSc Artificial Intelligence and continues to contribute to curriculum leadership and development.

Benhur's profile

Dr Ying-Ying Law

Course Director - Esports

Ying-Ying is a sociologist and an active researcher in digital cultures. Her main area of interest includes video gamer culture, communities, play, esports, research methods and gender studies from a sociological perspective.

Ying-Ying's profile

For the course starting on 25 January 2027, the tuition fees are:

Study option

UK / Channel Islands

International

£9,790 per year of study

£17,085 per year of study

For the course starting on 20 September 2027, the tuition fees are:

£10,050 per year of study

£17,285 per year of study

For the course starting on 24 January 2028, the tuition fees are:

UK and Channel Island students: This tuition fee is agreed subject to UK government policy and parliamentary regulation. If the UK government passes appropriate legislation, the fee for subsequent years of study may increase in each academic year. But this increase will not exceed the rate of inflation as measured by RPIX**. Any change in fees will apply to both new and continuing students. The University will notify students of any change as early as possible. Further information about fee changes would be posted on the University’s website once this becomes available.

**RPIX is a measure of inflation equivalent to all the items in the Retail Price Index (RPI) excluding mortgage interest payments.

Accommodation and living costs

Accommodation and living costs are not included in our fees.

View our accommodation

Read more about living costs

Sources of financial support

If you receive funding from Student Finance you may be eligible to apply for additional benefits. Details can be obtained by reading our additional funding web pages, or visiting www.gov.uk.

Scholarships and additional funding

As an undergraduate student at Staffordshire, you may be eligible for additional financial support through one of our scholarships and bursaries. You can visit our funding page to find out more and check your eligibility.

Our students

My student placement broadened my perspective

My student placement broadened my perspective, changed the way I approached my final year at university, and showed me what working in industry is really like. University has given me the confidence to grow.

Jemima Orakwue

Software Engineer at Goldman Sachs

I am now joining Barclays as part of their Cyber Security Graduate Programme.

I did a rotational placement year at IKEA. There I was able to apply everything I learnt during my time at university and work on some major projects. University of Staffordshire has built me into the person I am today. For anyone starting off, just know that you’ll find your people.

Aurelia Brzezowska

Cyber Security Analyst at Barclays

The people I’ve met, the support I received and the friends I made genuinely carved a path towards my future.

In the past two years, I have had the chance to meet some of the most amazing people at Staffs. The people I’ve met, the support I received and the friends I made genuinely carved a path towards my future and I am incredibly grateful for every one of these.

Maryum Rashid

BSc (Hons) Computer Science

Staffs is a great place to progress in a career, but also to gain life experience and life-long friends.

It has been an amazing time so far and the best experience, I have met amazing people whom have helped me progress in my career and also many other talented people. Staffs truly is a great place not only to study and progress in a career, but also to gain life experience and life-long friends.

Liam Dinsdale

BSc Computer Science

I'm proud to be a University of Staffordshire graduate.

I received great support from my lecturers, who helped me build both my technical skills and confidence. Their guidance played an important role in preparing me for my career in the tech industry. My time at University of Staffordshire gave me a strong foundation and a problem-solving mindset that I continue to use in my day-to-day work, and I’m proud to be a graduate.

Noor Sabah

Graduate, BSc (Hons) Computer Science

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25 January 2027

20 September 2027

24 January 2028

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24/10/2026 19:39:41 / Computer Science / Full-time / 51.0 / 52.0 / SSTK-F-S-C-0591 /

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