在这个快速发展的数据科学领域中发展您的职业所需的技能。该计划将加深您对高级软件开发，大数据分析系统，统计数据分析，数据挖掘，数据隐私和安全性，数据可视化和探索的理解。这是一个跨学科课程，旨在为拥有计算机科学，电气工程，数学，物理学，经济学等学科的第一学位的学生设计。我们的教学与工程和信息学系的研究紧密相关，其中包括应用计算，理论计算机科学以及通信和网络等方面。跨学科数据的统计分析是我们研究的中心主题。
This programme will deepen your understanding of advanced software development, systems for big data analytics, statistical data analysis, data mining, data privacy and security, data visualisation and exploration. It is an interdisciplinary programme, designed for students with a first degree in subjects such as: Computer Science, Electrical Engineering, Mathematics, Physics and Economics. Our teaching is strongly linked to research within the Faculty of Engineering and Informatics, which includes aspects of applied computing, theoretical computer science, and communications and networks. Statistical analysis of data across various disciplines is a central theme of our research. You can tailor your studies to particular areas of interest or career aspirations through our range of optional modules, and in the final dissertation (which is a significant piece of project work). On graduation you’ll be ready and able to develop solutions to challenges in big data analytics and big data systems.