7Jun
UndergraduateCourse summary
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 method
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).
How to apply
29Jan
This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.
Application codes
- Course code:
- CSIP
- Institution code:
- G53
- Campus name:
- Wrexham
- Campus code:
- -
Points of entry
The following entry points are available for this course:
- Year 1
International applicants
This course is not currently available to those requiring a Tier 4 visa to study in the UK.
Entry requirements
Qualification requirements
UCAS Tariff - 96 - 112 points
A level - CCC - BBC
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016) - MMM - DMM
Access to HE Diploma - D: 0 credits M: 45 credits P: 0 credits
Scottish Higher - CDDDDD
AS
Scottish Advanced Higher - DDD
International Baccalaureate Diploma Programme
Welsh Baccalaureate - Advanced Skills Challenge Certificate (last awarded Summer 2024)
Extended Project
Leaving Certificate - Higher Level (Ireland) (first awarded in 2017)
Leaving Certificate - Ordinary Level (Ireland) (first awarded in 2017)
Cambridge International Pre-U Certificate - Principal
Wrexham University takes into account a variety of qualifications and experience when considering applications to our programmes. If you are unsure if the qualifications you currently hold will be accepted for entry, or if you're not sure you'll achieve the required UCAS Tariff points, please contact us at [email protected] for further advice and guidance.
Student Outcomes
Operated by the Office for Students
There is no data available for this course. For further information visit the Discover Uni website.
Fees and funding
Tuition fees
| England | £9250 | Year 1 |
| Northern Ireland | £9250 | Year 1 |
| Scotland | £9250 | Year 1 |
| Wales | £9250 | Year 1 |
| Channel Islands | £9250 | Year 1 |
| Republic of Ireland | £9250 | Year 1 |
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
No additional fees or cost information has been supplied for this course, please contact the provider directly.
Provider information
Wrexham University
Plas Coch
Mold Road
Wrexham
LL11 2AW