Computer Science with Artificial Intelligence Bachelor of Science (with Honours) - BSc (Hons)

Develop in-demand computing and artificial intelligence expertise and graduate industry-ready with our BSc Computer Science with Artificial Intelligence degree.

Be at the forefront of a rapidly changing world. From climate modelling to health diagnostics to advanced financial forecasting, AI is transforming every aspect of how we live, work, and connect.

Our BSc Computer Science with Artificial Intelligence course provides the skills and knowledge to design, build, and deliver intelligent systems that solve complex problems across multiple industries.

There’s currently a worldwide shortage of skilled AI practitioners. During your degree, you'll develop essential AI and digital skills that promote innovation and drive economic growth, in line with the UK government's National AI Strategy.

The University of Reading sits at the heart of the Thames Valley, a major UK tech hub that currently boasts more than 150 companies and start-ups working in the AI sector.

Choose BSc Computer Science with AI at the University of Reading:\
Reading ranks 2nd in The Data City’s list of UK AI hotspots (2023).\
Reading has the fourth-highest number of digital tech organisations in the UK ("UK’s Top Digital Tech Cities", March 2020, The Data City).\
100% of our research impact has been classed as outstanding or very considerable (REF 2021, combining 4\* and 3\* submissions Computer Science and Informatics).\
Joint 30th in the world in the QS Sustainability Ranking 2026 (out of 2,002 institutions).

What you'll learn\
Your learning will follow a practice-based approach and will reflect tech industry trends, challenges and priorities. You’ll specialise in AI technologies from the start of your degree while still gaining a broad foundation in computer science.

AI topics include:

* foundations of artificial intelligence


* machine learning algorithms and techniques


* deep learning architectures and methods


* natural language processing (NLP)


* cognitive and agentic systems


* reasoning and decision-making algorithms


* ethical, responsible and trustworthy AI


* computer vision


* intelligent data analytics.

As a well-rounded AI practitioner in any industry, you‘ll need a solid grounding in computer science and information technology. Alongside specialist AI topics, you’ll also explore:

* software engineering and systems development


* database systems


* computer networking


* blockchain computing and security.

Plus, you'll get to grips with several universal programming/scripting languages for algorithmic and computational problem-solving, including Python and Java.