Course summary

We’re surrounded by data. The variety and amount we collect and store grows every day, from the simplest of retail transactions to the complex and intimate medical records of millions. There is an increasing demand for people who can manage, control and provide insight into the way data is used. These individuals require an understanding of computer science and mathematics, as well as a familiarity with the data needs and processes of a number of different areas, including healthcare, business, government and the environment. Our Data Science and Analytics Masters degree offers you the opportunity to develop a range of relevant skills including:

• analysing structured and unstructured data

• analysing large datasets

• critically evaluating results in context

• getting insights from data

• The course combines expertise from the Schools of Computing, Geography and Mathematics with that of Leeds University Business School.

• Our globally-renowned research conducted right here on campus feeds directly into the course, shaping your learning with the latest thinking in areas such as probability and financial mathematics, modern applied statistics and analysis.

• Benefit from our School’s close links with organisations like Leeds Institute for Data Analytics, Leeds Institute for Fluid Dynamics and the Alan Turing Institute, the UK’s national institute for data science and artificial intelligence.

• Advance your knowledge and skills in key areas of data science, both theoretically and practically.

• Tailor the degree to suit your specific interests with a broad selection of optional modules to choose from such as machine learning, programming and GIS.

• Put theory into practice by conducting a project which focuses on a real-world problem, giving you the chance to apply the knowledge acquired throughout the course and demonstrate independent research skills necessary for a professional or academic career.

• Access excellent teaching facilities and computing equipment throughout the school, complemented by social areas and communal problem-solving spaces.

• Experience expert theoretical and practical teaching delivered by a programme team made up of academics from the Schools of Mathematics, Computing, Geography and Business.