The MSc in Data Science and Analytics utilizes University's strong international reputation for research in these areas. The expertise of their staff influences this course which explores current research and practice in data science and analytics, extending students' knowledge and understanding of the principles and practice of obtaining data from various sources, the essential methods for pre-processing and cleaning data, data analytics and modelling.
Advanced topics studied include mathematics and programming of data science, data mining, machine learning and neural artificis, and data analytics applications.
This course is part of the Master's programme in Computer Science. Classes consist of lectures, small group seminars, and practical work in well-equipped laboratories with the use of modern, industry-standard software wherever possible. There are specialist facilities for networking and multimedia and a project laboratory especially for masters students. In addition to scheduled classes, students will be expected a significant amount of time in self-study, taking advantage of the extensive and up-to-date facilities. These include the Learning Resource Centres, open 24x7, with 1,500 computer workstations and Wi-Fi access.
Graduates in Data Science and Analytics are now data scientists, data engineers, and data analytics consultants working for organizations including BT, IBM, and Microsoft.
