Explore AI from its history to philosophy and what it can and can’t 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.
Why study Computer Science with AI at BNU?
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. 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.
State-of-the-art facilities
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.
Cutting edge topics
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’s predicted that AI activity could be worth an impressive £630 billion in the UK.
Focus on employability
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.
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’ll also learn how computers work at a deeper level, studying operating systems and computer architecture.
As you progress, you’ll focus more on AI, starting with an introduction to how AI systems think and solve problems. You’ll study machine learning techniques, like neural networks and decision trees, and teaching computers how to learn from data. Later, you’ll 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’ll 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.
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
Machines and Their Languages
Planning, Search and Artificial Intelligence
Research Methods
Optional Modules
Introduction to Natural Language Processing
Computer Science
Algorithms and Data Structures
Year three
Core Modules
Autonomous Robotic Systems
Extended Independent Work
Optional Modules
Legal Aspects of IT
Data Science
Knowledge-Based Systems in Artificial Intelligence
Learning Machines and Intelligent Agents
You’ll 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’ll 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.
This is the equal consideration deadline. You can still apply after this date, but your application may not receive guaranteed consideration.
Buckinghamshire New University has participated in the Teaching Excellence Framework. These ratings were awarded in 2023, for four years.
See why these ratings were awarded
What does this TEF outcome mean?
The following entry points are available for this course:
Visit bnu.ac.uk/international to find out more about applying to BNU as an international student!
Find out more about qualification requirements for this course.
| Test | Grade | Additional details |
|---|---|---|
| IELTS (Academic) | 6 | We require an IELTS score of 6.0 (with no element lower that 5.5) or a recognised equivalent. |
BNU English Language Requirements https://www.bnu.ac.uk/study/general-entry-requirements
We aim to cultivate an environment where individuality, diversity, and academic excellence thrive.
Our decision-making process is not just about grades; we assess the entire application, including personal statements, relevant experience and where appropriate portfolios. Within our Contextual Offer Scheme, we strive to embrace students whose educational and social backgrounds may have influenced their academic journey.
This underpins how we champion an inclusive community that transforms lives.
This section shows the range of grades students (with UK A-Levels or Pearson BTEC Level 3 National Extended Diplomas) who received offers were previously accepted with (learn more). It is designed to support your research but does not guarantee whether you will or won't get a place. Admissions teams consider various factors, including interviews, subject requirements, and entrance tests. Check all course entry requirements for eligibility.
We are unable to show previous accepted grades for this course. This could be because the course is new, it's a postgraduate course, there isn't enough historical data, or the provider has opted out of sharing their entry grades data for this course - learn more.
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Employment after 15 months (Most common jobs)
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The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.
| Location | Fee | Year |
|---|---|---|
| England | £9535 | Year 1 |
| Northern Ireland | £9535 | Year 1 |
| Scotland | £9535 | Year 1 |
| Wales | £9535 | Year 1 |
| Channel Islands | £9535 | Year 1 |
| Republic of Ireland | £9535 | Year 1 |
| EU | £15150 | Year 1 |
| International | £15150 | Year 1 |
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website.
Buckinghamshire New University tuition fees cover the cost of instruction, assessment, and core academic materials. However, additional costs may be incurred for course-related items or requirements, such as, but not limited to:
Additional costs will vary by course. It is your responsibility as a student to budget for any additional expenses associated with your studies.
For further details on what is included in your tuition fees, please check bnu.ac.uk/fees-and-funding
There are several ways you can fund your studies, including sponsorship and student loans. You may be able to use ELCAS credits for some of our courses. We also have scholarships and bursaries to help support our students.
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