Overview

Artificial intelligence is reshaping how software is built and used, and understanding it properly requires a solid foundation in core computer science alongside specialist AI knowledge. The BSc Computer Science with Artificial Intelligence at the University of Bristol combines these two strands, giving students a thorough grounding in algorithms, programming and computer architecture alongside dedicated study of AI concepts, tools and methods. The course is delivered at a university recognised as AI University of the Year and home to the Isambard-AI supercomputer, with strong ties to the concentration of technology companies based in and around the city. It suits students who want deep technical expertise across both computer science and AI, supported by real project work and industry engagement throughout their studies.

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What You'll Learn

• Core principles of algorithms and programming alongside the concepts, tools and methods of artificial intelligence

• The mathematics and statistics underpinning modern computer science and AI

• How modern computer architecture is organised and structured

• Foundations of human-computer interaction and cyber security

• Theoretical and data-driven approaches within computer science

• How these core areas influence and shape real-world AI applications

• Team-based development of an AI application for a real client, supported by an industrial mentor, in the second year

• An individual, staff-supervised AI project in the final year, with opportunities to work alongside industrial or research partners

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Learning Outcomes

By the end of the course, students will be able to apply core computer science principles, including algorithms, programming and system architecture, alongside specialist knowledge of artificial intelligence concepts and methods. They will be equipped to use the mathematical and statistical foundations that underpin both fields to build and evaluate AI systems responsibly. Through a team-based AI software project supported by an industrial mentor and an individually supervised final-year project, students will develop practical experience of designing, building and testing real AI applications, often alongside industry or research partners. Graduates will leave with a strong dual grounding in computer science and artificial intelligence, along with the technical and problem-solving skills needed for further study or a career developing and applying AI technology.