Designed for those interested in learning the underpinning theory of Data Science together with methods for implementation and application Explore mathematical and computational techniques for Data Science, building on your existing scientific and/or mathematical knowledge Study network analysis, text analysis and machine vision as well as social contexts, governance and ethical considerations Build upon your existing coding skills and handle complex data sets, learning multiple methods of analysis and efficient approaches to visualisation and presentation Undertake a project where you’ll develop skills and pursue ideas in a specific area of interest, with the support of your academic supervisor.