BSc (Hons) Computer Science (Top-Up)

What you will study

YEAR 3 (LEVEL 6) - Top-Up Year

The top-up 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: This module provides a comprehensive understanding of cryptography and defensive systems, blending theoretical foundations with practical applications. You will explore core principles and techniques, including encryption algorithms, cryptographic protocols, and key management. Additionally, the module covers advanced defensive strategies to safeguard sensitive information and secure communication channels. By the end, you will possess the expertise to analyse cryptographic systems, identify vulnerabilities, and implement effective security measures.
• Deep Learning Implementation: This module offers a comprehensive understanding of deep learning principles and applications. You will develop skills to design, implement, and optimise models for tasks such as image recognition, natural language processing, and reinforcement learning. Through hands-on projects, you will master advanced frameworks, tools, and best practices for data preprocessing, hyperparameter tuning, and debugging, enabling you to apply deep learning techniques to real-world challenges and communicate results effectively.
• Emergent Technologies: This module equips you with a deep understanding of emerging technologies and their transformative impact on the field of computing. It examines cutting-edge innovations, their foundational principles, and real-world applications. You will develop the skills to critically evaluate and effectively apply these technologies in practical contexts. Additionally, the module fosters creativity and innovation, encouraging you to explore and experiment with novel technological solutions.
• Data Analysis and Visualisation: This module focuses on the principles of data collection, analysis, and visualisation, equipping you to become a skilled data analyst capable of identifying patterns and extracting insights from diverse data sources. You will explore advanced statistical methods and algorithms, gaining the ability to analyse, visualise, and present data in meaningful ways to unlock new insights. The module also addresses the legal, social, and ethical implications of data analysis and its applications. Through hands-on experience with industry-standard software, you will develop practical skills to tackle real-world data analysis and visualisation challenges effectively.

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.

Entry requirements & applying

For direct entry to the top up provisions, applicants must have achieved a qualification at Level 5 or better in a relevant discipline.

Entry to the programme may be gained by students who can present one of the pieces of evidence listed below:

a) Have passed a Dip HE in a relevant discipline

b) Have passed a French DUT

c) Have achieved a minimum of 120 ECTS credits in a relevant discipline

d) Have passed a Foundation Degree or HND in a cognate discipline

e) Have passed a qualification from an EU or other overseas country equivalent, as defined as equivalent NARIC, to a DipHE or better in a relevant discipline. Such as State Certified Technician (Staatlich geprüfter Techniker) or Mittelland Higher Technical (Höhere Fachschule Technik Mittelland)

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.

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.

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.

• 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. 

Teaching and Learning

We offer workshops and support sessions in areas such as academic writing, effective note-making and preparing for assignments.

Students can book appointments with academic skills tutors dedicated to helping deal with the practicalities of university work. Our student support section has more information on the help available.

In terms of particular needs, the University’s Inclusion Services can provide appropriate guidance and support should any students require reasonable adjustments to be made because of a recognised prevailing disability, medical condition, or specific learning difference.

Career prospects

Our dedicated Careers and Employability team is committed to helping you achieve your professional goals. They provide personalised advice, useful resources, and extracurricular employability events to prepare you for the job market.

Graduates of this course can pursue careers in: 

• Software Engineer
• Software Developer
• Data Analysts
• Data Scientists
• Artificial Intelligence
• Machine Learning
• Software Architect
• Systems Analyst
• IT Consultant
• IT Project Manager

Additionally, you may choose to further your expertise through postgraduate studies. Explore our postgraduate courses for more information.

Fees & funding

You do not have to pay your tuition fees upfront.

The fees you pay and the support available will depend on a number of different factors. Full information can be found on our fees & finance pages. You will also find information about what your fees include in the fee FAQs.

All fees are subject to any changes in government policy, view our undergraduate fees.

For international students looking to study this course please see our international fees.

Accommodation

At Wrexham University, we offer on-campus en-suite rooms within our Wrexham Student Village. These private, fully furnished spaces are conveniently located, providing easy access to campus facilities, study areas, and social spaces. Plus, you’re just a 10-minute walk from the city centre!

With all bills included, free Wi-Fi, 24/7 security, and large social areas, you’ll find everything you need for a great student experience.

Explore our student accommodation options to find your perfect home away from home.

International

This course is open to international students, for information about the university’s entry requirements for EU/international students, please visit our international section.