Master of Science [M.Sc] [Data Science] From University of London

By studying this degree you will:

• have the option to study one of the specialist pathways in Artificial Intelligence or Financial Technology
• address skills required by data scientists to drive improvements in organisational performance
• have the opportunity to create your own data analysis projects
• earn a prestigious qualification that is valued across the glob

The importance of Big Data grows year on year, with sectors including healthcare, manufacture, retail, administration and more reliant on the insights that accurate data capture and analysis can provide. Study Data Science and Analytics at Royal Holloway, University of London and you’ll develop the practical skills needed to handle and analyse data in a wide variety of fields, preparing you for a rewarding career in Big Data. 

You’ll study in a department with a strong reputation for research excellence. The  Department of Computer Science was ranked 11th in the UK for the quality of its research publications (Research Excellence Framework 2014), and you’ll have the opportunity to contribute to this leading research culture with your own Individual Project.

This flexible programme gives you the chance to tailor your learning to your own strengths and interests, with a broad range of optional modules including Online Machine Learning, Methods of Bioinformatics and Microeconometrics providing  scope and variety. You’ll be well-equipped to continue your studies at PhD level, which will place you in a strong position to pursue more advanced, research-based roles after graduation.

A bachelor’s degree (or an acceptable equivalent) in a relevant subject which is considered at least comparable to a UK second class honours degree, from an institution acceptable to the University.

UK 2:2 (Honours) or equivalent in Computer Science, Economics, Mathematics, Physics, or other subjects that include a strong element of both mathematics and computing. Candidates with professional qualifications or relevant professional experience in an associated area will also be considered.