Data Science

Entry requirements

A 2.2, or 2.1 or First Class degree in any subject.

All applicants are considered on an individual basis and additional qualifications, professional qualifications and relevant experience may also be taken into account when considering applications.

Months of entry

September

Course content

Organisations all over the world are looking to data to transform how they work - from governments to supermarkets and Formula One teams. But what makes a great data scientist?

Exceptional data scientists don’t just find and present data. They’re problem-solvers, with the ability to think laterally. They’re critical thinkers, with deep attention to detail. They’re curious, and look beyond what the surface to test their assumptions and hunt down unexpected insights.

Our new MSc in Data Science will help you apply machine learning and deep learning methods to get real meaning from your data. It is designed as a conversion course - which means you don’t need a strong background in data science, statistics and computing to apply.

You’ll start with the building blocks of data science, and learn key programming languages such as Python and R. But we’ll also work on developing your critical mindset, encouraging you to adapt your knowledge to different problems and to and to explore, analyse, validate and explain your models.

You’ll learn from experts in the field – including computer scientists and statisticians – and develop specialist skills that will help you thrive in a data science role, working in tandem with colleagues from other backgrounds and disciplines.

This course has been designed in consultation with external organisations, who have guided us in selecting the most in-demand skills for data science graduates. You even have the opportunity to apply for a year in industry, and pick up first-hand experience of the modern workplace.