Wrexham University
UCAS Code: I345 | Bachelor of Science (with Honours) - BSc (Hons)
Entry requirements
A level
Accepted alongside A-Levels as part of overall 48-72 UCAS Tariff requirement.
48-72 UCAS Tariff points
48-72 UCAS Tariff points
Accepted as part of overall 48-72 UCAS Tariff requirement.
48-72 UCAS Tariff points from International Baccalaureate Certificates
48-72 UCAS Tariff points
Accepted alongside Irish Leaving Certificate Higher Level as part of overall 48-72 UCAS Tariff requirement.
Pearson BTEC Level 3 National Diploma (first teaching from September 2016)
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)
48-72 UCAS Tariff points
48-72 UCAS Tariff points
UCAS Tariff
Our general entry requirement for the foundation year is 48-72 UCAS tariff points but all applications are considered individually and we consider work experience, vocational training/qualifications as well as motivation and potential to succeed. The programme welcomes applications from anyone who can demonstrate a commitment to the subject and the potential to complete their chosen programme successfully. This can be established by showing appropriate academic achievements or by demonstrating that they possess the knowledge and ability equivalent to the academic qualifications.
Accepted as part of overall 48-72 UCAS Tariff point requirement.
About this course
Why choose this course?
Our BSc Computer Science course offers a solid foundation in core computer science principles, programming, and software development, with opportunities to specialise in Machine Learning, AI and Data Analytics. This course will allow you to develop vital ethical, professional, and communication skills to excel in a rewarding IT career.
You will:
Gain hands-on experience through lab work and coding assignments
Utilise cutting-edge industry tools and software
Study in state-of-the-art facilities, including our Cyber Innovation Academy
Learn from experienced professionals and experts in the field
Engage in active learning sessions, industry talks, workshops, and practical exercises
Have the opportunity to qualify for CISCO accreditation upon course completion
Key Course Features:
The curriculum encompasses programming fundamentals, algorithms, data structures, and agile methodologies, with a focus on problem-solving, teamwork, and ethical considerations, preparing you for sustainable and innovative practices in digital technology
Gain practical, hands-on experience in advanced fields such as Machine Learning, Artificial Intelligence (AI), and Data Analytics
The course integrates core project modules simulating cross-disciplinary industry practices with subject-specific modules, offering theoretical and practical expertise
This course embraces the Active Learning Framework (ALF), enhancing the teaching and learning experience through diverse, dynamic teaching methods
Modules
What you will study
YEAR 1 (FOUNDATION YEAR)
The foundation year provides you with the knowledge and confidence in the use of formula, data manipulation and representation. You will gain an understanding of the core hardware and software associated with the use of computer systems, as well as keeping up to date with current developments in technology. There will be numerous opportunities to work on practical activities which will be further developed at degree level.
YEAR 2 (LEVEL 4)
Year 2 (Level 4) establishes a solid foundation in software and web development within the broader context of computing and digital industries. Through design exercises, case studies, and projects, you will gain practical experience by applying core principles to real-world scenarios.
MODULES
Programming Fundamentals
Computer Systems and Architecture
Information Security and Governance
Applied Computational Methods
Software Development Methodologies
Fundamentals of Machine Learning
YEAR 3 (LEVEL 5)
At level 5, you will explore advanced principles in software and web design, development, and production, with a focus on practical application through case studies, teamwork, and design exercises. You will enhance your understanding of industry tools, workflows, and roles, while developing problem-solving skills using data structures and algorithms to deliver innovative solutions. This year also sharpens your collaboration, communication, and project management abilities, alongside fostering professional practices and reflection on social, ethical, and sustainability issues—preparing you for academic success and a competitive edge in your professional career.
MODULES
Group Project: This module offers essential industry-simulated experience, equipping you to manage tasks, challenges, and scenarios encountered in real-world, group-based digital projects. You will develop skills in organisation, communication, and coordination while focusing on the design, development, and implementation of a digital product aligned with professional methodologies and real-world contexts.
Systems Engineering and Project Managemen
Cloud and Distributed Architecture and Security
Data Structures and Algorithms
Machine Learning
Secure Software Development
YEAR 4 (LEVEL 6)
The final year (Level 6) emphasises critically evaluating computing within a broader context, focusing on advanced principles in software/web design, development, and production through graduate-level projects. You will apply development tools, considering technical, design, and team-based skills, while addressing social, ethical, and sustainability issues. The year fosters advanced competencies in research, programming, and software systems development, including security techniques and specialisation in computer science. You will refine problem-solving, communication, leadership, and agile project management skills. Additionally, you will enhance personal growth, time management, and research abilities, preparing you for professional success in the computing industry.
MODULES
Project: The project module is designed to prepare you for the tasks and challenges that you may encounter in the workplace after your graduation. Its objectives are to equip you with the skills to independently plan, manage, and report on a substantial, long-term project; apply theoretical knowledge from taught modules to practical, real-world problems; and critically evaluate diverse and often conflicting information from manuals, books, and research journals. Additionally, the project offers an opportunity to specialise in an area aligned with your personal interests and degree program, enhancing your expertise and career readiness.
Cryptography and Defensive Systems
Deep Learning Implementation
Emergent Technologies
Data Analysis and Visualisation
Assessment methods
Teaching & Assessment
Teaching
This course leverages cutting-edge industry tools and software, paired with innovative teaching methods, to equip students with industry-relevant skills and empower them to excel. Staff fully embrace the Active Learning Framework (ALF), enhancing the teaching and learning experience through diverse, dynamic methods.
The programme integrates core project modules simulating cross-disciplinary industry practices with subject-specific modules, offering theoretical and practical expertise. Students engage in active learning sessions, industry talks, workshops, and practical exercises while exploring emerging technologies and industry best practices.
Most undergraduate modules, apart from the 40-credit final-year project, are 20 credits. Each 20-credit module requires 200 hours of learning, consisting of a small proportion of timetabled sessions, including lectures, labs, workshops, and tutorials, alongside a significant proportion of guided independent study. Staff operate an Open-Door policy, providing flexible support beyond scheduled hours.
Assessment
Aligned with the Active Learning Framework (ALF), the programmes employ innovative, context-driven assessment strategies that integrate portfolio-building exercises to enhance student achievement and employability. Cloud-based systems track and manage student progress in projects, ensuring transparency in group work and simulating an industry environment to deepen professional awareness.
Assessments focus on mastery of skills and knowledge, adopting a tailored approach supported by formative activities such as self-reflection, peer assessments, and targeted feedback. For coursework and portfolio-based modules, milestone reviews provide personalised feedback, keeping students on track to meet learning outcomes and deliverables.
Modules with embedded industry certifications include preparatory coursework submissions for feedback, ensuring readiness for final assessments. These assessments align with certification requirements and may involve remote proctored in-class evaluations, bridging academic and industry standards to strengthen student employability.
Assessments encompass a diverse range of methods, including:
Coursework and Projects: Assignments and projects provide hands-on experience, allowing you to apply theoretical knowledge to real-world scenarios. This may include software development projects, research papers, or problem-solving tasks.
Coding Assignments: Practical coding assignments assess your programming skills, logical reasoning, and ability to develop efficient and effective code.
Group Projects: Collaborative projects evaluate teamwork, communication, and the ability to work in diverse teams, reflecting the collaborative nature of the tech industry.
Presentations: You may be required to present your findings, solutions, or project outcomes, enhancing your communication and presentation skills.
Laboratory Work: Practical sessions in computer labs assess your' ability to apply concepts, troubleshoot issues, and work with various tools and technologies.
Problem-solving Exercises: These exercises challenge you to solve complex problems, encouraging critical thinking and analytical skills.
Reports and Documentation: Writing reports or documenting project processes assesses your ability to communicate technical information clearly and concisely.
Tuition fees
Select where you currently live to see what you'll pay:
The Uni
Wrexham
School of Applied Science, Computing and Engineering
What students say
We've crunched the numbers to see if the overall teaching satisfaction score here is high, medium or low compared to students studying this subject(s) at other universities.
How do students rate their degree experience?
The stats below relate to the general subject area/s at this university, not this specific course. We show this where there isn’t enough data about the course, or where this is the most detailed info available to us.
Computer science
Teaching and learning
Assessment and feedback
Resources and organisation
Student voice
Who studies this subject and how do they get on?
Most popular A-Levels studied (and grade achieved)
After graduation
The stats in this section relate to the general subject area/s at this university – not this specific course. We show this where there isn't enough data about the course, or where this is the most detailed info available to us.
Computer science
What are graduates doing after six months?
This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.
Top job areas of graduates
This is a newly-classified subject area for this kind of data, so we don’t currently have very much information to display or analyse yet. The subject is linked to important and growing computing industries, and over time we can expect more students to study them — there could be opportunities that open up for graduates in these subjects as the economy develops over the next few years.
What about your long term prospects?
Looking further ahead, below is a rough guide for what graduates went on to earn.
Computer science
The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.
£22k
£24k
£23k
Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree.
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Teaching Excellence Framework (TEF):
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This information comes from the National Student Survey, an annual student survey of final-year students. You can use this to see how satisfied students studying this subject area at this university, are (not the individual course).
This is the percentage of final-year students at this university who were "definitely" or "mostly" satisfied with their course. We've analysed this figure against other universities so you can see whether this is high, medium or low.
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This information is from the Higher Education Statistics Agency (HESA), for undergraduate students only.
You can use this to get an idea of who you might share a lecture with and how they progressed in this subject, here. It's also worth comparing typical A-level subjects and grades students achieved with the current course entry requirements; similarities or differences here could indicate how flexible (or not) a university might be.
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Post-six month graduation stats:
This is from the Destinations of Leavers from Higher Education Survey, based on responses from graduates who studied the same subject area here.
It offers a snapshot of what grads went on to do six months later, what they were earning on average, and whether they felt their degree helped them obtain a 'graduate role'. We calculate a mean rating to indicate if this is high, medium or low compared to other universities.
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Graduate field commentary:
The Higher Education Careers Services Unit have provided some further context for all graduates in this subject area, including details that numbers alone might not show
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The Longitudinal Educational Outcomes dataset combines HRMC earnings data with student records from the Higher Education Statistics Agency.
While there are lots of factors at play when it comes to your future earnings, use this as a rough timeline of what graduates in this subject area were earning on average one, three and five years later. Can you see a steady increase in salary, or did grads need some experience under their belt before seeing a nice bump up in their pay packet?
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