Data science is positioned to be the major new arena of scientific discovery in the 21st century. As Eric Schimdt, CEO of Google, has pointed out, we now generate as much information every two days as we did from the dawn of human civilisation up until the year 2003. To cope with this vast amount of data, there is an urgent requirement to derive meaningful insights from very large and diverse data sources: the so-called 'big data challenge'. Secure identification of individuals, accurate financial prediction and reliable cancer diagnosis are all examples of area in which the technologies underpinning data science are marketing revolutionary contributions, enriching our lives, and making our future healthier, more efficient and more secure. The MSc by Research (Data Science) provides an opportunity for students who wish undertake an individual real-world big-data research project; you can choose a project area from a wide variety of interdisciplinary domains, including business information systems, e-health, social media, cloud computing, smart homes, intelligent vehicles and ambient assisted living. Data science is positioned to be the major new arena of scientific discovery in the 21st century. As Eric Schimdt, CEO of Google, has pointed out, we now generate as much information every two days as we did from the dawn of human civilisation up until the year 2003. To cope with this vast amount of data, there is an urgent requirement to derive meaningful insights from very large and diverse data sources: the so-called 'big data challenge'. Secure identification of individuals, accurate financial prediction and reliable cancer diagnosis are all examples of area in which the technologies underpinning data science are marketing revolutionary contributions, enriching our lives, and making our future healthier, more efficient and more secure. The MSc by Research (Data Science) provides an opportunity for students who wish undertake an individual real-world big-data research project; you can choose a project area from a wide variety of interdisciplinary domains, including business information systems, e-health, social media, cloud computing, smart homes, intelligent vehicles and ambient assisted living. We currently have supervisors available in: Machine learning Visual analytics Mathematics and statistics Smart sensors (for ambient assisted living and smart homes) Numerical algorithms (especially computational geometry) Artificial intelligence Ethics of technology Psychology Business information systems and business informatics Robust software/system development Networking Ethics Marketing Operations management Enterprise and economic development Education Design.

This degree is specifically designed to equip graduates with the knowledge and skills required to fulfil large corporate data requirements, and allow you to progress to the post of data scientist. Data scientists are responsible for extracting understanding from large quantities of data, by building generalised models of trends within unstructured, heterogeneous 'big data'. Examining data from multiple sources, data scientists seek to explore patterns and discover trends, and translate these into insights and predictions which will support business decision-making, and solve business problems. Data scientists are sought after in a broad variety of sectors, including – but by no means limited to – healthcare, broadcast, security, education, and intelligent transport.