BSc (Hons) Computer Science with Artificial Intelligence

UCAS CODE: ARIN (Full-time) or ARIF (Foundation Year)
TARIFF: 88 - 112 (Full-time) or 32 - 56 (Foundation Year)
  • Study Mode: Full Time
  • Location: High Wycombe
  • Duration: Three or Four Years
  • Start Date: September 2025

天美影视 AI from its history to philosophy and what it can and can鈥檛 do. You'll study machine learning, artificial neural networks, and data analysis and use industry tools including MATLAB and Jason. You'll consider ethics of AI and debate the benefits and challenges posed by AI developments. 

This course is enhanced by alignment with certification programmes from major companies including Microsoft, Amazon Web Services (AWS), and Cisco which you can choose to take during your studies.

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No. 1 in the UK for Student Satisfaction*
*Positivity ranking amongst registered students (NSS 2024)
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No. 1 Students' Union in the UK*
*Based on responses from registered students (NSS 2024)
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Computer Science - 8th in the UK for student satisfaction*
*As an average of all NSS 2024 questions for students taught at BNU compared to other UK HEIs
Why study Computer Science with AI at BNU?

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. In the past we have invited in guest lectures, to share their experience and expertise and host day-long interactive events run by leaders in their field giving you the chance to put your knowledge into action.

BNU has state-of-the-art computing labs outfitted with cutting-edge tech and software essential for computer science and AI. These facilities provide you with the opportunity to work on high-performance computing systems and delve into AI testing in a professional setting, closely resembling industry environments. You will have access to specialist labs equipped with dual-screen, dual-boot (Windows and Linux) systems loaded with the latest industry-standard software. Additionally, the university boasts a variety of devices, such as Virtual Reality headsets, 3D printers, Raspberry Pi microcomputers, and EEG headsets, which will serve as the foundation for various supervised projects undertaken throughout the program. 

Artificial Intelligence is transforming industry and the world we live in. The field of AI is about so much more than creating generative AI like Chat GPT. Experts are applying their AI to improve care in hospitals, control robots in space, help companies understand buying habits, and more. By 2035, it鈥檚 predicted that AI activity could be worth an impressive 拢630 billion in the UK. A degree in this field will help give you the skills and knowledge you need to help play your part in shaping the future.

AI is one of the fastest-growing fields in the tech industry, and the demand for AI professionals continues to rise. This course prepares you for a variety of high-demand roles, such as AI specialist, machine learning engineer, data scientist, software developer, or AI researcher. The skills you develop will also make you highly employable in sectors such as finance, healthcare, robotics, automation, and gaming. 
This course is enhanced by alignment with certification programmes from major companies including Microsoft, Amazon Web Services (AWS), and Cisco which you can choose to take during your studies.

You鈥檒l explore the diversity of modern computer science and software engineering, gaining the integral skills required for today鈥檚 industry workplace. It doesn鈥檛 matter if you haven鈥檛 studied computing before or if you have experience but want to solidify your knowledge with a degree. This course is designed to accommodate almost all levels of prior learning.

In your second and third years, you will choose from optional modules covering a huge range of topics, from Algorithms and Data Structures to Cloud Computing, Cyber Security, and Artificial Intelligence.

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Two Bucks students using Macbooks in the Library

What facilities can I use?

BNU has invested in our facilities to ensure that you can learn on industry standard systems and software, meaning that you can make an easy transition from education into employment. Quite simply we are committed to making sure we provide you with the best learning experience possible.

We make sure we keep the University鈥檚 computing facilities well maintained and equipped. We have a range of large labs; some being enhanced with cyber and A.I. specific facilities. Furthermore, many of these rooms are filled with dual-screen, dual boot (Windows and Linux) systems. Latest industry standard software is also included on devices to allow you to develop your skills to what is needed in the workplace.

 

 

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.

Hands-on experience is what we are all about. We have numerous devices that will provide the basis for various supervised projects you will carry out across the programme. These include but are not limited to Virtual Reality headsets, 3D printers, Raspberry Pi microcomputers, EEG headsets.

Furthermore, we provide online facilities to enhance your independent learning, via our Virtual Learning Environment. This will provide you with access to additional material and collaborative learning tools 24/7. And our virtual server technology will allow you to use our operating systems remotely.

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close-up of High Wycombe campus Gateway building

What will I study? 

As you start, you'll get to dive into both core computer science and specialised AI topics. The course starts with the basics like programming (in Python, Java, and C++), algorithms, software engineering, and database management, giving you a solid foundation in computing. You鈥檒l also learn how computers work at a deeper level, studying operating systems and computer architecture.

As you progress, you鈥檒l focus more on AI, starting with an introduction to how AI systems think and solve problems. You鈥檒l study machine learning techniques, like neural networks and decision trees, and teaching computers how to learn from data. Later, you鈥檒l explore deep learning, robotics, and natural language processing (such as voice assistants). Big data and data science also play a key role, teaching you how to handle large datasets and analyse data efficiently.

The degree also covers the math behind AI (probability, statistics, and calculus), and takes a look at the ethical side of AI, like privacy issues and how AI impacts society. In your final year, you鈥檒l work on a major project, where you solve a real-world problem using AI. You may also get the opportunity for a work placement, to gain hands-on industry experience.

Optional modules let you dive into areas like cybersecurity, the Internet of Things (IoT), or user-friendly AI interfaces, depending on your interests. 

You will also get opportunities to expand your knowledge both inside and outside of the lecture theatre. Students have previously visited sites of historical importance, including Bletchley Park, to learn more about the history of computing and how it impacted the world.

 

How will I be taught and assessed?

You鈥檒l be taught through a mix of lectures, practical lab sessions, workshops, and tutorials. Lectures provide the theoretical foundation, while lab sessions focus on hands-on coding and AI development. Workshops and seminars will allow for interactive learning and collaboration with your peers, while small-group tutorials offer personalised support. A significant portion of your learning will also come from independent study and project work, where you can explore topics in-depth.

Assessment is a combination of coursework, practical projects, exams, and presentations. Coursework includes programming assignments and research projects, while practical projects assess your ability to develop AI systems and software. Some modules will have written exams to test your theoretical knowledge, and in your final year, you鈥檒l complete a major project on a real-world AI problem. Presentations and group work are also part of the assessment, ensuring you develop both individual and teamwork skills. This approach balances both practical and theoretical learning, preparing you for a career in AI and computer science.

BSc (Hons) Computer Science Programme Specification

What are the course entry requirements?

A typical offer will require a UCAS tariff score of: 88 - 112 (Full-time) or 32 - 56 (Foundation Year)

UCAS points can be obtained through qualifications such as A levels, T levels, BTEC or an Access to Higher Education course in a relevant subject. Please list all your qualifications on the application form as you will be asked to provide copies when we receive your application.

A minimum of two full A-levels (or equivalent) is required. Every application is considered on an individual basis.

For further details of our international English entry requirements, please visit our international pages.

Those with no previous study, work experience, or who do not meet the specified entry requirements, including demonstrating the necessary knowledge and understanding, are welcome to apply for the 3-year BSc (Hons) degree, however may be offered the four-year programme which includes a Foundation Year.

Modules

This provides a guide of the modules that make up your course. You can find more information about how your course is structured on our Academic Advice section.

What are the tuition fees

Home
  • Home Foundation Year, Academic Year 2025 - 2026: 拢9,535 *
  • Home, Academic Year 2025 - 2026: 拢9,535 per year *
International
  • Overseas/International Foundation Year, Academic Year 2025 - 2026: 拢15,150 *
  • Overseas/International, Academic Year 2025 - 2026: 拢15,150 per year *

Following the Government鈥檚 announcement of 4 November 2024, we will be increasing our full-time undergraduate tuition fees for UK students to 拢9,535 per year from the start of the 2025/26 academic year. Our part-time fees for UK undergraduate students will increase to 拢7,145 per annum. Please visit鈥, on the Government鈥檚 website, for more information about the changes. 

Tuition fees for Home undergraduate students (including with foundation year) may increase in subsequent years for both new and continuing students in line with an inflationary amount determined by the Government.鈥 

Tuition fees for both new and continuing international students may be subject to an inflationary increase based on the Consumer Price Index (CPI) for the 12-month period to 31 January each year.鈥 

Tuition fees for postgraduate courses and CPD may be subject to an inflationary increase based on the Consumer Price Index (CPI) for the 12-month period to 31 January each year. This increase will apply to both new and continuing students.鈥 

We understand, and really appreciate, the significant financial commitment our students make when they choose to study at BNU. We take our responsibilities to our students very seriously, and are ambitious for each to reach their full potential and succeed in their chosen career. Our fees help us to continue providing our students with a high-quality education, and to invest in the services and facilities which create an excellent student experience at BNU. 

The following factors will be considered by the University when we set the annual fees: measures of inflation such as the retail price indices; projected increases in University costs; and any changes in the level of funding for teaching received from the Government.

Additional course costs and financial support

Most courses will involve some additional costs that are not covered by your fees.
You could benefit from financial support through a bursary or scholarship during your time as a student. For more details visit our financial support, bursaries and scholarships section.

Questions about fees?

If you have any questions about the fees above, contact our Enquiries team by calling 0330 123 2023 or emailing advice@bnu.ac.uk.

What are my career prospects?

Throughout your time with us we鈥檒l support you on the route to your chosen career. We鈥檒l help you to develop crucial skills, encouraging you to become enterprising, employable and good leaders. We also help you find employment after graduation. Have a look at our Careers and Employability pages to find out more.

AI is becoming integral our everyday life and is key to solving many challenges that different sectors face. After studying at BNU, you鈥檒l be ready for a range of AI roles, such as:

  • machine learning engineer  build and manage platforms for machine learning projects
  • business intelligence developer  design, model, and maintain complex data in cloud-based data platforms
  • artificial Intelligence architect  provide AI solutions to help businesses
  • robotics scientist  build and maintain software for robots that do tasks with varying human input.

You may also choose to stay on at BNU and study a postgraduate programme.

Course leader

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Dr Muntasir Al-Asfoor
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Michael Everett
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Dr Kevin Maher
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Dr Nicholas Day
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Justin Luker
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Dr Rafid Al-Khannak
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Dr Shahadate Rezvy
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Muhammed Haroon
  • Associate Lecturer
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Kompel Campion
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BSc (Hons) Computer Science with Artificial Intelligence
BSc (Hons) Computer Science with Artificial Intelligence with Foundation Year