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Computer Science with Artificial Intelligence with Foundation Year

1 Study option · UndergraduateHigh Wycombe Campus

Course summary

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.

In the Foundation Year of this four-year course, you’ll build essential academic study skills. This year will help you gain confidence in your abilities. You’ll also identify your strengths and areas for development. Together, these will prepare you for progression to the undergraduate degree.

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.

How to apply

Application codes

Course code:
ARIF
Institution code:
B94

Historical entry grades data BETA

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.

Not enough data available

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.

Student Outcomes

Operated by the Office for Students

75 Employment after 15 months (Most common jobs)

90 Go onto work and study

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.

Fees and funding

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Sponsorship information

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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