Computer Science (with Foundation Year)

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

• Accredited by BCS, The Chartered Institute for IT for the purposes of fully meeting the academic requirement for registration as a Chartered IT Professional

Course Modules

This year of study ensures that students from all subject backgrounds and life experiences get a foundational course of study that both prepares for subject specific and wider, university skills at an undergraduate level. You will spend time with a subject specific teaching team and a wider support network to ensure you get the support for a wide range of skills.

MODULES

• Study Skills for Success (Core)

• Collaborative Practice (Core)

• A Day in the Life (Core)

• Computer Hardware and Software (Optional)

• Maths and Computing for Problem Solving (Optional)

• Foundations of Cyber Security (Optional)

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

• Database Systems (Core)

• 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

• Systems Engineering and Project Management

• 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

• Cryptography and Defensive Systems

• Deep Learning Implementation

• Emergent Technologies

• Data Analysis and Visualisation

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.