Statistical Data Science

Statistical data science is a discipline that sits at the heart of how modern organisations make sense of the world. Statistics provides the theoretical foundation: the mathematical frameworks for modelling uncertainty, testing hypotheses, and drawing valid inferences from data. Data science adds the computational and applied dimension, encompassing programming, data wrangling, machine learning, and the practical skills of working with large, complex datasets from many different sources.

Together, they produce graduates who can both understand the mathematics of statistical inference and apply it at scale to real-world problems.

At Heriot-Watt University, which has a strong reputation in statistics and actuarial science, this four-year programme develops your statistical and computational skills to a high level, building a rigorous mathematical foundation alongside practical competence in programming, data analysis, and machine learning. You will study probability theory, statistical inference, regression modelling, time series, and Bayesian methods alongside programming in statistical languages and the broader data science toolkit. The programme includes a year abroad, giving you the opportunity to study at a partner institution and engage with statistical data science in a different academic and professional context.

The typical entry tariff is 200 UCAS points.

Statistical data scientists are in strong and growing demand across virtually every data-intensive sector. Finance, insurance, healthcare analytics, government statistical services, technology, climate science, and market research all actively recruit graduates with rigorous statistical training. Many graduates also continue to professional qualifications in statistics or actuarial science, or to postgraduate study in statistics, data science, or machine learning, using the strong mathematical foundation the degree provides as the basis for specialist expertise.