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.
Modules
Year 1 In your first year, you’ll build the core technical and professional skills needed for a career in computing, including writing programs in a high-level language, designing and maintaining web pages and implementing relational databases using SQL. You’ll develop problem-solving and analytical skills through programming and maths, gain an understanding of computer architecture and cyber security fundamentals and explore artificial intelligence concepts. Alongside technical skills, you’ll strengthen your communication, teamwork and employability through industry-focused activities. Core modules Introduction to Programming Introduction to Cyber Security Computing Technologies Introduction to Artificial Intelligence Introduction to Web Development Working in the Computing Industry Year 2 You’ll advance your technical skills in object-oriented software design and testing, data structures and operating systems, while deepening your knowledge of artificial intelligence through modules on intelligent systems and machine learning techniques. You’ll also gain experience in team-based software development through an integrated group project and can choose option modules to build specialist skills in areas such as embedded systems or mobile app development. Core modules Intelligent Systems 1 Object Oriented Development and Testing Intelligent Systems 2 Integrated Group Project Data Structures and Operating Systems Options* Embedded Systems Mobile Application Development Optional Placement Year You can choose a salaried professional placement after year two, gaining hands-on experience with tech companies, software development teams or IT consultancies. This year allows you to apply your academic knowledge to real-world projects such as software engineering, cybersecurity, data analytics or web and mobile development. You’ll develop practical skills in programming, system design and project management while building valuable industry contacts. A placement enhances your employability and confidence, giving you a competitive edge for careers in computing and technology. Final year You’ll consolidate your learning through a major individual computing project, applying advanced technical and research skills to a topic of your choice. You’ll develop expertise in advanced AI techniques, such as natural language processing, speech and image recognition, and strengthen your ability to work with data mining and feature extraction for complex problem-solving. Option modules allow you to specialise in areas including usability evaluation, software architecture, cybersecurity law, advanced mobile app development and client-server computing to give you the high-level technical, analytical and professional skills needed for careers in AI, software engineering or postgraduate research. Core modules Advanced Artificial Intelligence Data Mining The Computing Project Options* Usability Evaluation Object Oriented Design and Architecture Cyber Security and Intellectual Property Law New Horizons in Computing Programming Languages, Concurrency and Client Server Computing Advanced Mobile Application Development *Option modules are indicative and may change, depending on timetabling and staff availability.
How to apply
This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.
Application codes
Please select a course option – you will then see the application code you need to use to apply for the course.
Points of entry
The following entry points are available for this course:
- Year 1
- Year 2
Entry requirements
Qualification requirements
UCAS Tariff - 104 - 120 points
A level - BBB - BCC
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016) - DMM
Access to HE Diploma - M: 24 credits
International Baccalaureate Diploma Programme - 26 points
Leaving Certificate - Higher Level (Ireland) (first awarded in 2017) - H3, H3, H3, H3, H4
T Level - M
English language requirements
| Test | Grade | Additional details |
|---|---|---|
| IELTS (Academic) | 6 | 6.0 overall with a minimum of 5.5. in each element, or equivalent English Language qualification. |
Review our English Language requirements
Student Outcomes
There is no data available for this course. For further information visit the Discover Uni website.
Fees and funding
Tuition fees
| 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 | £17250 | Year 1 |
| International | £17250 | 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 .
Additional fee information
Provider information
University of Brighton
Mithras House
Lewes Road
Brighton
BN2 4AT
