Computer Science

Ready to dive into the world of computing? Searching for a degree that blends theory with practical experience? Look no further than BSc (Hons) Computer Science.

This course equips you with the skills to create, analyse, and solve real-world computing challenges. From coding and data science to cloud computing and AI, a degree in computer science can prepare you for a wide range of careers.

Why Study Computer Science at BNU?

State-of-the-art facilities
At BNU, we are committed to providing you with the best learning experience by investing in industry-standard systems and software to help you transition seamlessly from education to employment. Our well-maintained and fully equipped computing facilities feature large labs, some of which are specialized for cyber and AI studies. These labs are fitted with dual-screen, dual-boot (Windows and Linux) systems and cutting-edge software to develop the skills required in today's workplace. You'll also have access to advanced technologies, including virtual servers, VR headsets, 3D printers, Raspberry Pi microcomputers, EEG headsets, and more, ensuring a comprehensive and hands-on learning environment.

Labs have been custom built to provide the best spaces to nurture the specific skills needed for game and internet development. These allow you to build your skills within key areas of future employment.

Real-World Experience
You will have the opportunity to work on real-world projects and collaborate with industry professionals, as well as participate in competitions, hackathons, and events.

Cutting-Edge Topics
Explore the latest trends and challenges in computer science. From your first day onwards you will be studying topics ranging from, Artificial Intelligence, Computer Architecture, Discrete Mathematics, User Experience (UX) and Data Science.

What will I study?
This course lets you learn about different aspects of computer science and software engineering. You will get the skills you need to work in the technology industry. You will not only learn in the classroom, but also work on real projects by yourself or with a team.

During this course you will acquire a broad range of skills covering computation theory, fundamentals of computer science, compliers and operating systems, basic programming, software development and testing, web applications and databases, algorithms and data structures, whilst building secure web and mobile applications, alongside analysing life-critical systems. From your first day and onwards, you are with us, you will be studying topics ranging from, Computer Architecture, Discrete Mathematics, User Experience (UX) and Data Science.

You will learn how to make systems that are dependable and reliable, using an object-oriented design approach. You will use industry standard methods, such as UML. You will also learn how to manage large-scale software projects. You will have the chance to study more about artificial intelligence, media programming, real-time systems, cloud computing and security.

You will grow and improve your learning throughout the course. You will start with the basics, such as web and mobile development, IT support, software development, programming, analysis, design and network industries. Then you will apply what you have learned to various assignments, either individually or in a team. You will also learn skills in machine learning, artificial neural networks, data analysis, fuzzy and expert systems. You will also explore other areas that relate to AI, such as mathematics, logic, philosophy, cognitive psychology, linguistics and sociology.

This course is also offered as four-year programmes, including an initial Foundation Year. The Foundation Year will allow you to develop your academic study skills and build confidence in your abilities, identifying your own strengths and development needs for progression onto an undergraduate degree.

Year one
Core Modules
Programming Concepts
Computer Architecture
Networks
Web Development
Computational Fundamentals

Year two
Core Modules
Data Essentials
Object Oriented Programming
Research Methods

Optional Modules
Introduction to Natural Language
Processing Real-Time Systems
Algorithms and Data Structures

Year three
Core Modules
Advanced Programming
Extended Independent Work

Optional Modules
Design Patterns
Critical Systems
Cloud Computing
Data Science
Knowledge-Based Systems in Artificial Intelligence

At Buckinghamshire New University we like to foster an interactive and student-focused teaching style where we have a combination of formal lectures, tutorials, practical lab sessions, seminars and guest speakers to enhance the learning experience. We like to design our course to reflect the workplace so you will have the opportunity to carry out independent study, supported through distance learning technologies such as Blackboard, our Virtual Learning Environment. We will also provide reading lists and suggested resources to enhance independent study. You are more than a number at BNU, and we are here to support you through your education journey. We have in place regular contact hours with our tutors and provide you with informal feedback throughout the programme of study. Over the years of your course you will be assessed and graded in a multitude of ways to allow you to develop and expand on your abilities and skills. Assessments for the various modules will mostly take the form of practical coursework, lab tests and written exams, with the focus being on testing the practical application of the various concepts and techniques being conveyed.