Artificial Intelligence and Computer Science

Artificial intelligence and computer science together form one of the most significant fields of study in contemporary technology. Computer science provides the foundational knowledge of algorithms, data structures, programming languages, systems design and the mathematical frameworks that underpin all software. Artificial intelligence extends this into the study of machine learning, neural networks, natural language processing, computer vision, knowledge representation and reasoning, asking how computational systems can exhibit and augment intelligent behaviour.

The combination prepares you to work at the frontier of technology, understanding both the tools and the principles that drive the field.

At the University of Edinburgh you will study in one of the world's leading institutions for both computer science and AI research, a place where the academic community is actively shaping the field you are learning about. Across four full-time years you will cover programming and software engineering, the mathematical foundations of computation, core areas of AI including machine learning and probabilistic modelling, and the ethical and social dimensions of intelligent systems. The programme includes a year abroad, giving you the opportunity to study in a different research environment and to build an international perspective on a field that is genuinely global in its development.

Edinburgh's research culture means you will be studying alongside people who are producing the ideas that define contemporary AI.

Graduates from this programme are among the most sought after in the global technology sector. Roles in software engineering, machine learning research and engineering, data science, computer vision, natural language processing, robotics and AI product development are all accessible. Many graduates go on to doctoral research and academic careers; others join technology companies, startups, financial institutions, healthcare organisations or government bodies applying AI to real problems.

This degree is one of the most demanding and rewarding you can choose if you want to be part of shaping what intelligent systems can do.