Computing Science/Statistics

Computing science and statistics is a combination of unusual depth and breadth. Computing science addresses the full range of the discipline, from programming and software engineering to artificial intelligence, human-computer interaction, algorithms, and network systems. Statistics provides the mathematical framework for making inferences from data, understanding uncertainty, and evaluating evidence rigorously.

As data has become a central resource for organisations across every sector, the ability to combine computational skill with statistical rigour is one of the most valued capabilities in the technical labour market.

At the University of Glasgow, this four-year full-time programme develops genuine expertise in both subjects at a research-intensive institution with strong departments in both computing science and statistics. You will study the breadth of computing science, including programming, systems, artificial intelligence, and data engineering, alongside core statistical theory and methods including probability, regression, Bayesian inference, and machine learning. A year abroad is part of the programme, broadening your academic experience and international connections in a field where research and professional practice are global.

Graduates from computing science and statistics programmes are in high demand as data scientists, machine learning engineers, statistical analysts, research engineers, and software developers in data-intensive environments across technology, financial services, pharmaceutical research, government, and academia. The combination of rigorous statistical thinking and strong computational skills is precisely what employers in these areas need and often struggle to find. Postgraduate study in statistics, data science, machine learning, and computer science is a natural next step for those who wish to specialise or pursue research.