First or strong Upper Second class honours degree, or the overseas equivalent, in computer science, or in a joint degree with at least 50% computer science content. Applicants with extensive computer science industrial experience and a good honours degree, or its overseas equivalent, may also be considered for admission.
Months of entry
Efficient management of data and knowledge are key factors not only to the success of almost any enterprise, but also to the successful handling of today's vast amounts of science related data: with the transition to the "information age" and the "knowledge economy", data has become both increasingly central and critical to all activities. For example, imagine the huge amounts of genomic or patient data available electronically, and how the quality of their management can affect society. The Data and Knowledge Management pathway combines three themes, all of which are concerned with methods and technologies for the adequate management of data and knowledge.
The Data Management theme is focused on the design, maintenance, and query processing of both structured and unstructured databases. The Learning from Data theme covers principles, algorithms, and technologies underlying machine learning, probabilistic modeling, and optimisation, while exposing students to relevant applications. The Advanced Web Technogies theme provides students with a deep understanding of the technologies that are being used to support the continuing evolution of the Web, including Semantic Web technologies
Information for international students
For further information about entry requirements, including English Language requirements, please see the University website.
Qualification and course duration
Course contact details
- School of Computer Science
- +44 (0)161 275 6181