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Computer Science with Artificial Intelligence

2 Study options · UndergraduateBrighton

Course summary

A Computer Science with Artificial Intelligence degree at Brighton prepares you to design and build intelligent software. It combines solid computer science foundations with specialist AI knowledge in areas such as machine learning, intelligent reasoning and data-driven systems. You’ll learn how to engineer secure, scalable applications while applying AI approaches to real‑world challenges across industry and research.

At Brighton you’ll be part of a supportive community that helps you grow, whatever your background. The course is full of opportunities to build real‑world experience through team projects, hackathons, employer‑set briefs and an optional year‑long placement. Our inclusive approach to learning means we help you play to your strengths and learn in ways that suit you best.

Graduates progress into roles such as software engineer, machine learning engineer, data scientist, AI developer and cyber/secure systems specialist or go on to postgraduate study and research.

Top reasons to choose this course

  • Gain a degree with professional accreditation from BCS – The Chartered Institute for IT, aligning your learning with industry benchmarks and supporting professional recognition.

  • Specialise in AI from the ground up – build your core computer science knowledge – programming, systems, networks, databases – and combine it with AI approaches such as intelligent reasoning and machine learning.

  • Brighton’s thriving tech community – study in a city known for digital innovation, with opportunities to connect with local tech companies and attend events such as the UX Brighton Conference.

  • Learn specialist technical skills – master programming, algorithms, data structures and software engineering, alongside advanced topics in AI, cybersecurity and cloud computing.

  • Hands-on experience from day one – work on real-world projects using industry-standard tools and practices, including Agile development, version control and collaborative coding.

  • Boost your CV with work experience opportunities, including an optional paid placement year, funded internships and employer-led projects.

  • Learn in specialist facilities – train in our networking and cybersecurity labs, immersive UX spaces and software development suites equipped with modern technologies.

  • Contribute to research and innovation – get involved in projects exploring AI, data analytics, human-computer interaction and emerging digital technologies.

Why Brighton is a great place to study Computer Science with Artificial Intelligence
Brighton & Hove has a vibrant tech scene, from creative digital and UX studios to data, cloud and cybersecurity firms, offering meet-ups, internships and graduate roles. Studying here connects your projects to an active community and a city known for its innovation and start‑up culture.

How to apply

Application codes

Course code:
G416
Institution code:
B72

This course may be available at alternative locations, please check if other course options are available.

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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.

Data from:
This course and 2 other computer science courses
Date range:
2022-2024

Offer rate for UK school & college leavers

96% Students aged 17/18 who applied to this course were offered a place.

How do you compare?

See how students with your grades have been accepted onto this course in the past.

Fees and funding

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