Our study brings together foundational computer scientists skills such as algorithmic thinking and programming with fundamental data scientist skills such as statistical analysis, machine learning, artificial intelligence, big data, and visual analytics. This is a powerful combination – data scientists having both of these skills will not only master using existing solutions but will also be capable of building innovative data science solutions tailored for the needs of the application at hand.

Our four-year undergraduate MSci Data Science programme builds on the success and reputation of our MSc in Data Science course that has been already running for a number of years.

The MSci programme distinguishes itself from the MSc with its focus on building strong foundations in Computer Science as well as equipping students with comprehensive Data Science skills. In addition to data science specific know-how, MSci students will learn distinguishing computer science skills such as software design and development, working as part of a development team, and an understanding of professional issues in information technologies.

The four-year undergraduate MSci course brings together foundational computer scientists skills such as algorithmic thinking and programming with fundamental data scientist skills such as statistical analysis, machine learning, artificial intelligence, big data, and visual analytics.

Career perspectives

Qualified data scientists are well paid and in demand by employers in businesses and the public sector, and you could use the skills you gain in areas like health, retail, transport, manufacturing, media and digital technologies.

Organisations increasingly collect large amounts of data, and they need data scientists like you to interpret the data and find solutions in innovative and imaginative ways.

Your work could involve collecting and analysing data to help organisations with challenges ranging from predicting sales to tackling pollution. As a data scientist, you will use algorithms, data mining and other tools to make your findings accessible.