Computer Science (with a placement year)

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https://www.staffs.ac.uk/london/course/computer-science-bsc/full-time-university-of-staffordshire-london-with-a-placement-year

Computer Science BSc (Hons) - University of Staffordshire London

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Computer Science

BSc (Hons)

Choose a study option

Full-time, University of Staffordshire London, with a placement year

Full-time, University of Staffordshire London

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Location

University of Staffordshire London

UCAS code

I750, I723

I722, I746

Start dates available

January 2027

September 2027

January 2028

Apply now

Industry aligned

Aligned with British Computer Society (BCS) standards

Recognised qualifications

Gain certifications from Microsoft, Cisco and Amazon

Hands on experience

Access training in our labs with real networking and cloud tech

Our established computing degrees have been at the forefront of technology for over 50 years and are now hitting the networking hub of London. Be a part of the new-age computing scene with a degree that hits multiple disciplines of computer science and prepares you for careers in a variety of sectors of industry.

Our Computer Science degree combines a solid grounding in computer science fundamentals and our teaching facilities are supported by specialist computing labs with the latest software which you’ll need to exploit the discipline. The course is designed with input from Google, Amazon Web Services (AWS), and Cisco, and in choosing modules you can elect to study for certifications from both AWS and Cisco, as well as from Microsoft.

The course will prepare you to enter a range of employment roles related to the wider area of computer science. Between your second and final years there is an opportunity for you to take a work placement year, where you will apply and improve your skills and knowledge and ultimately enhance your employability.

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

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

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.

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

Dtib Industrial Placement

120 credits

Year 4 compulsory modules

Advanced Ai - Data Systems & Distributed Applications

Advanced Computer Science: Emerging Technologies And Contemporary Practice

Final Year Project

60 credits

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

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

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

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

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 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

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

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 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

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

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

Module code: PLAC00002

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

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

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

Entry requirements

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

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.

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.

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Check your country information

Facilities

Data Junction

Housing our Computer Science and Cyber Security programmes, this mega laboratory is truly plugged in. We have a dedicated cyber and networking laboratory as well as additional meeting spaces.

The perfect space to chill out with comfy sofas and booths and food prep spaces if you want to bring your food from home. Read more

The Den includes:

Lockers to store your personal items

Comfy booths to sit, chat and eat in

Electrical sockets to plug in your devices

Wireless pads that charge the latest smartphones

A prep area for food and drinks

Fridges to keep snacks in

Low, soft seating for kicking band and unwinding

The Hall

Integrate yourself with the buzz of digital technologies in The Hall, a space dedicated to discussion and meetings. This flexible space can be configured to suit the needs of up to 30 students, with electrical points and multiple seating areas.

Featured videos

Saira's Computer Science Journey

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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.

Open Day

Saturday 14 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

Teaching approaches can include for example formal lectures, group work, tutorials/practical sessions, seminars, workshops, directed and self-managed study, and research projects. Each of these will be used on your modules so you get the chance to learn as effectively as possible.

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

In addition to the excellent support you will receive from your course teaching team, our central Academic Skills team provides group and one-to-one help to support your learning in a number of areas. These include study skills (including reading, note-taking and presentation skills); written English (including punctuation and grammatical accuracy); academic writing (including how to reference); research skills; critical thinking and understanding arguments; and revision, assessment and examination skills (including time management).

Additional support

Our Student Inclusion Services support students with additional needs such as sensory impairment, or learning difficulties such as dyslexia.

Feedback

Your course will provide you with opportunities to test your understanding of your subject informally (through formative feedback) before you complete the formal assessments. Each module normally includes practice or ‘formative’ assessments for which you receive feedback from your tutor. Practice assessments are developmental and any grades you receive for them do not count towards your module mark, but are essential for you to develop academically as a student.

There is a formal or ‘summative’ assessment at the end of each module and the grades from formal assessments count towards your module mark. You will normally receive feedback on coursework assessments within 20 working days following the date of submission. The feedback you receive will help to focus you to achieve better grades on the next set of modules you study.

Independent learning

All students are encouraged to build on their independent capabilities in relation to their own learning development. Tutors will mentor, support and guide students with clear direction in relation to ‘out of classroom’ activities and expectations in order to allow students the capacity to meet the learning objectives of their modules and course of study.

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

Dr Vahid Heydari Fami Tafreshi

Course Director - Computer Science

Vahid is a passionate researcher and course director specialising in Computing courses at the London campus. He leads the BSc and MSc Cyber Security courses, focusing on Internet Protocols, Architectures, Cybersecurity, and IoT Security.

Vahid's profile

Dr Maryam Shahpasand

Senior Lecturer

Maryam is a lecturer with over 15 years of intensive experience in cyber security teaching and research, professional training, security consultation, forensics investigation, malware analysis, penetration testing, and incident handling.

Dr Viraj Dawarka

Lecturer

Viraj is a lecturer in computer science/cyber security as well as an active researcher in cloud robotics. His main area of interest is towards the energy efficiency of cloud robotics using educational robots.

Dr Mahsa Zolfaghari

Mahsa is a lecturer in Computer Science and Cyber Security.

Her research interests are Systems Design enhancements by Artificial Intelligence (AI), NET ZERO Technologies’ applications and IoT.

Dr Russell Campion

Head Of Department - Computing & Esports

Russell started at the University in 1990, studying a BA, then MRes, and finally a PhD before going into full-time teaching. He currently runs the Department of Computing. Previously he has managed the Information Systems group at Stafford befor…

Russell'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.

Not included in tuition fees

Not included in the fees:

You are expected to have access to an appropriate PC/laptop with admin rights so that you can install software in order to complete this course.

Accommodation and living costs

Accommodation and living costs are not included in our fees.

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 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.

Apply now to Computer Science

Start date

Apply Link

Staffordshire University London

25 January 2027

20 September 2027

24 January 2028

Not ready to apply yet?

How to apply

Enquire about this course

Looking for a prospectus?

As well as a full list of our London undergraduate courses, you can read all about our hands-on approach to learning. You'll get an insight into our inclusive student community and what it’s like to study at our London campus.

Request a prospectus

Rules and regulations

If you are offered a place at University of Staffordshire, your offer will be subject to our rules, regulations and enrolment conditions, which may vary from time to time.

Students of University of Staffordshire enter into a contract with us and are bound by these rules and regulations, which are subject to change. For more information, please see: University Policies and Regulations.

Information from discover uni

25/10/2026 11:29:47 / Computer Science / Full-time, University of Staffordshire London, with a placement year / 32.0 / 5.0 / SDIL-F-P-C-0004 /

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