Data Science

Data science is one of the most in-demand fields in the contemporary economy, and for good reason: the ability to collect, analyse, visualise, and draw conclusions from large datasets is transforming how organisations make decisions across every sector. Data scientists combine statistical thinking with computational skill and the domain knowledge needed to ask the right questions and communicate findings clearly. It is a discipline that rewards both mathematical rigour and practical curiosity.

At the University of Chester, this four-year full-time degree includes a foundation year for those who would benefit from additional preparation before the main programme begins, ensuring that students who are capable but may not yet have all the necessary mathematical or computing background can access the degree and succeed in it. The programme equips you with skills in R, Python, SQL, and data visualisation tools such as Power BI, covering both the technical and the ethical dimensions of working with data. You will study statistics, machine learning, data engineering, database management, and the interpretation of results in real-world contexts.

The programme also includes a year abroad, offering the opportunity to engage with data science in an international academic environment. A typical entry tariff of 120 points applies.

You will develop strong quantitative and computational skills alongside the ability to communicate findings clearly to non-specialist audiences, which is a combination that is consistently valued by employers. The programme's emphasis on cutting-edge tools and ethical practice reflects the contemporary realities of working with data.

Graduates go on to careers as data analysts, data scientists, business intelligence analysts, machine learning engineers, data engineers, and in a wide range of roles across finance, healthcare, retail, technology, government, and consultancy. Postgraduate study in data science, statistics, or artificial intelligence is another natural route for those seeking to specialise further.