BSc (Hons) Computer Science

With Foundation Year

BSc (Hons) Computer Science is a dynamic and future-focused degree designed to equip students with in-demand skills in programming, web development, databases, and cybersecurity. This programme blends theoretical foundations with practical projects to prepare graduates for real-world tech challenges.

Start Date

October 2025

Duration

Three or Four Years

Location

Grays, Essex

Mode of Study

Full Time

Qualification Overview

BSc (Hons) Computer Science programme is designed to give you the skills and knowledge you need to succeed in today’s tech-driven world. Whether it’s learning to design systems, build databases, develop software, or create websites – you’ll cover it all. You’ll explore key areas like programming, networking, web development, and systems analysis.

Why Choose this Course?

Hands-On Learning

Blend theory with real-world experience in coding, AI, cybersecurity, cloud, and data science.

Practical & Career

You will have the opportunity to work on real-world projects and collaborate with industry professionals,.

Student Satisfaction

Ranked #1 and Ranked #8 in the UK for Student Satisfaction (NSS 2024)

Personalised Support

Small class sizes, dedicated tutors, and access to our growing alumni and employer network.

Key Highlights of Course

This programme focuses on the technical foundations of software and web technologies, preparing you for careers in web-based computing across a variety of industries. You’ll gain both theoretical understanding and practical experience, applying your knowledge to real-world projects that develop your ability to solve complex problems and adapt to different business and user needs.

BNU Ranking

No. 1 in the UK for Student Satisfaction*

*Positivity ranking amongst registered students (NSS 2024)

No. 1 Students' Union
in the UK

Based on responses from registered students (NSS 2024)

An Inside Look Into BSc (Hons) Computer Science

How will I be taught and assessed?

At iQualifyUK, we’re proud to deliver this BSc (Hons) in Computing in collaboration with Buckinghamshire New University, combining expert academic teaching with practical, career-ready learning.

You’ll be taught in small groups by experienced tutors who are actively involved in the tech industry, whether through partnerships, consultancy, or research. This close link with industry helps keep the course current and relevant, and also opens up opportunities for real-world projects, guest lectures, and even internships.

Teaching is a mix of lectures, tutorials, hands-on lab sessions, and interactive seminars. We believe learning is most effective when it feels real, so many of your assignments will be based on real-life scenarios and challenges you’re likely to face in the workplace.

Career Opportunities

• Software Engineer
• Data/Computer Scientist
• Software Product Manager
• IT System Manager
• Machine Learning Engineer
• Cyber Security Consultant

Employability

BNU graduates have gone on to top employers such as:
▪ Amazon
▪ McLaren
▪ NHS
▪ Tata Consultancy
▪ Invesco
▪ Softcat
▪ Dreams
▪ Oxford University Hospitals

Postgraduate Opportunities:
Option to pursue an MSc Computer Science or other master’s degrees or further enhance their employability by obtaining Microsoft Certification™

Entry Requirements

UCAS Points: 88–112 (Full-time) / 32–56 (with Foundation)
A Levels, BTECs, T Levels or Access to HE
At least 2 full A levels (or equivalent) plus GCSE Maths & English at grade C/4
Applicants without formal qualifications may be considered for the 4-year route with a Foundation Year

Fees (2025 - 2026)

• Foundation Year: £9,535*
• Undergraduate Year: £9,535/year*

*Please note: Fees may be subject to annual increases, in line with inflation and government policy.

Supportive Tutors and Alumni Network

Our dedicated academic team is here to support you every step of the way – from your first class to your final project. You’ll benefit from approachable, experienced tutors who are passionate about helping you succeed.

Course Modules

Foundation Year - Modules

Introduction to Programming (20 Credits)

This module will teach you foundational programming skills. You’ll learn about data types, variables, control structures, and algorithms. You’ll solve problems, create documented software, and by the end, design and test your own programs, effectively communicating your work.

Computing Essentials (20 Credits)

This module covers computing fundamentals, you’ll explore data structures, algorithms, computational thinking, databases, and the societal impacts of computing. You’ll learn to store, access, and search data efficiently, solve problems mathematically, design relational databases with SQL, and consider computing’s ethical implications.

Core Mathematics (20 Credits)

Dive into computer science and discrete mathematics with this module. You’ll tackle mathematical and network algorithms, critical path analysis, linear programming, and game theory. It’s a journey through finite and infinite concepts, preparing you for advanced mathematics and practical computing applications.

Design Principles (20 Credits)

In this module, you’ll delve into human-computer interaction and user-centric design, focusing on human factors and user needs to create immersive products. You’ll also explore computer technologies for creating and distributing digital resources, ensuring they meet diverse media platform requirements.

Professional Skills Review (20 Credits)

In this module, you’ll reflect on and develop professional skills through project production. You’ll enhance your reflective writing, communication, teamwork, problem-solving, and critical thinking, gaining insight into your strengths and areas for growth.

Final Project (20 Credits)

In this module, you’ll collaborate with other students on a project within your subject’s themes, honing vital professional skills like leadership, interpersonal relations, communication, negotiation, and problem-solving, essential for teamwork in real-world scenarios.

Year 1 - Modules

Programming Concepts (20 Credits)

Discover the foundational principles for programming languages. You’ll study variables, data types, assignment, conditionals, functions, data structures and the object-oriented paradigm. You’ll work with other students on a project to simulate the working environment and will develop your problem-solving and computational thinking skills.

Computer Architecture (20 Credits)

You’ll look at principles of computer organisation, systems structures, and interfaces. You’ll study components, architecture, data representation, computer logic circuits, and the theory of computation.

Networking (20 Credits)

Study the architecture, structure, and protocols of the Internet and computer networks. You’ll analyse IP addressing, Ethernet fundamentals, and network operations across OSI layers.

Web Development (20 Credits)

Explore HTML, CSS, JavaScript, DOM, DHTML, and scripting for user interaction. You’ll implement cross-platform web solutions and understand scripting technologies in business contexts.

Computing Computational Fundamentals (20 Credits)

Learn foundational mathematical and logic skills essential for computing. Topics include set theory, recursion, finite probability, and principles of logic for proof and representation.

Cyber Threat and Risk Management (20 Credits)

Gain an overview of cyber threats and how to manage them. Learn risk assessment, mitigation strategies, auditing tools, and organizational security planning.

Year 2 - Modules

Algorithms and Data Structures (20 Credits)

Advance your programming skills by exploring data structures like stacks, queues, and trees, and algorithms for sorting, searching, inserting, and deleting data.

Data Essentials (20 Credits)

Understand how data is collected, stored, and managed. Explore data handling approaches and evaluate real-world application solutions.

Object Orientated Programming (20 Credits)

Study UML and object-oriented programming in a practical IDE, enhancing your software development and modelling skills.

Research Methods (20 Credits)

Learn principles of research, including ontology and epistemology. Prepare for dissertation or project work through structured research planning.

Introduction to Natural Language Processing (20 Credits)

Understand the fundamentals of how machines process and understand human language. Explore techniques, tools, and real-world applications of Natural Language Processing (NLP), from basic text analysis to building intelligent language models used in modern AI systems.

Computer Science (20 Credits)

Explore the core principles of Computer Science, including programming, algorithms, data structures, and system architecture. Gain a strong foundation in both theoretical concepts and practical skills used to solve complex computing problems across various domains.

Year 3 - Modules

Advanced Programming (20 Credits)

Dive deeper into programming by mastering advanced concepts such as object-oriented design, data structures, algorithms, and software development practices. Learn to write efficient, scalable, and maintainable code using modern programming languages and frameworks.

Data Science (20 Credits) Optional

Explore scalable data storage, data-driven system architecture, and approaches to data analytics and compute-on-demand infrastructure.

Project (40 Credits)

Undertake an independent project on a topic of interest with supervision. This includes research, critical analysis, and a final report with an oral defence.

Critical Systems (20 Credits)

Explore the design, development, and evaluation of Critical Systems where failure is not an option. Learn how to build reliable, secure, and fault-tolerant systems used in industries like healthcare, aviation, finance, and infrastructure.

Knowledge-Based Systems in A.I (20 Credits) Optional

Study AI technologies, their history, applications, and problem-solving capabilities. Examine definitions and uses of intelligent systems.

Cloud Computing (20 Credits) Optional

Learn principles of research, including ontology and epistemology. Prepare for dissertation or project work through structured research planning.

Design Patterns (20 Credits) Optional

Examine robust and reusable software solutions through design patterns. Gain insight into their structures, use cases, and implementations.

How You’ll Learn

Examples of Typical Jobs After
BSc (Hons) Computer Science

A BSc (Hons) Computer Science degree opens doors to a wide range of exciting and high-demand roles across the tech industry. With practical skills and a strong theoretical foundation, you’ll be prepared to work in both local and global job markets.

Frequently Asked Questions

Is prior experience in programming necessary?

No, this course is suitable for beginners. You’ll start with the basics and build your knowledge gradually throughout the degree.

What kind of practical experience will I gain?

You’ll work on real-world projects, build apps, develop systems, and use modern tools used in the IT industry. The focus is on hands-on learning and problem-solving.

What degree will I receive upon completion?

You will be awarded a BSc (Hons) in Computing degree from Buckinghamshire New University (UK).

What are the career prospects after graduation?

Graduates can pursue roles in software development, cybersecurity, system analysis, IT consultancy, mobile and web development, and many other tech fields.

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