Wrexham University
UCAS Code: CSIP | Bachelor of Science (with Honours) - BSc (Hons)
Entry requirements
A level
Accepted alongside A-Levels as part of overall 96-112 UCAS Tariff requirement.
Access to HE Diploma
96-112 UCAS Tariff points
96-112 UCAS Tariff points
Accepted as part of overall 96-112 UCAS Tariff requirement.
96-112 UCAS Tariff points from International Baccalaureate Certificates
96-112 UCAS Tariff points
Accepted alongside Irish Leaving Certificate Higher Level as part of overall 96-112 UCAS Tariff requirement. Where GCSE Maths, English and/or Science are required these must be at O4 or above.
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)
Scottish Advanced Higher
96-112 UCAS Tariff points
Scottish Higher
96-112 UCAS Tariff points
UCAS Tariff
Accepted as part of overall 96-112 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 (LEVEL 4)
The first year (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 2 (LEVEL 5)
In your second year (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
Systems Engineering and Project Management
Cloud and Distributed Architecture and Security
Data Structures and Algorithms
Machine Learning
Secure Software Development
YEAR 3 (INDUSTRIAL PLACEMENT)
The placement year will take place during the third academic year. This pivotal phase in your education allows you to gain hands-on experience in your field of study, bridging the gap between theoretical knowledge and practical application. It is an opportunity to immerse yourself in a professional environment, develop industry-specific skills, and build a network of contacts that can be invaluable for your future career. During this year, you'll work with professionals, tackle real-world challenges, and refine your understanding of the industry, all while earning academic credit. This blend of academic and professional development is designed to enhance your employability, giving you a competitive edge in the job market upon graduation.
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
Cryptography and Defensive Systems
Deep Learning Implementation
Emergent Technologies
Data Analysis and Visualisation
The information listed in this section is an overview of the academic content of the programme that will take the form of either core or option modules. Modules are designated as core or option in accordance with professional body requirements and internal academic framework review, so may be subject to change.
Assessment methods
Teaching & Assessment
Teaching
The computing program suite employs a diverse range of cutting-edge industry tools and software, complemented by innovative teaching methods. This dynamic approach not only imparts industry-relevant skills but also empowers you to elevate your work to new heights when possible. The entire staff enthusiastically embraces the active learning framework (ALF), resulting in numerous enhancements to the teaching and learning experience.
Assessment
Assessments in computer science at the university level are designed to evaluate your' understanding, application, and proficiency in various aspects of the discipline. These 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.
Personalised Support
The department follows a well-established open-door approach, actively interacting with students, alumni, and industry stakeholders. Essential information and communication avenues are facilitated through tools like Teams and Moodle. Additionally, every student is assigned a personal tutor, fostering regular meetings, while additional personalized support is extended to part-time students through the Virtual Learning Environment (VLE).
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
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.
Others in computing
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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.
Others in computing
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
What about your long term prospects?
Looking further ahead, below is a rough guide for what graduates went on to earn.
Others in computing
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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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:
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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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