Apply fundamental scientific principles to the analysis of large, complex data sets. Develop expertise in core disciplines as well as highly developed critical thinking, problem-solving and communication skills. Businesses collect huge volumes of data - it's everywhere. There is an urgent need for people who have the skills to identify, interpret and analyse trends from the collected data. In health, education, government, in small and large businesses, big data is used to make informed decisions. Banks look for unusual transactions, hospitals looks for trends in admissions, and schools look for patterns in student progress. Students will study areas such as information and data analysis, allowing them to discover and quantify patterns using statistics, statistical inference, regression analysis, and machine learning. They are introduced to the appropriate methods and tools that are applied to retrieve, transform, organise, visualise, and analyse data. Students will develop technical knowledge in a range of topics including statistics, statistical inference, high performance computing, and visualisation. The final year project will give students the opportunity to put their learning into practice as they analyse large data sets.