剑桥大学

The aim of the course is to provide preparation appropriate for undertaking a PhD programme in computer science. Students select five taught modules from a wide range of advanced topics in computer science from networking and systems measurements to category theory, and topics in natural language processing. Students may also choose from a selection of topics borrowed from the Department of Engineering. Additionally, students take a mandatory, ungraded course in research skills which includes core and optional topics.

Students also undertake a research project over two terms and submit a project report in early June. Research topic selection and planning occurs in the first term and the work is undertaken in subsequent terms. The taught modules are delivered in a range of styles. For example, there are traditional lecture courses, lecture courses with associated practical classes, reading clubs, and seminar style modules.

The course aims to:

• give students, with relevant experience at a first-degree level, the opportunity to carry out directed research in the discipline;
• give students the opportunity to acquire or develop skills and expertise relevant to their research interests;
• provide preparation appropriate for undertaking a PhD programme in computer science;
• provide the Faculty with an extended period in which to train students and then to judge the suitability of students for PhD study; and
• offer a qualification that is valuable and highly marketable in its own right that equips its graduates with the skills and expertise to play leading roles in industrial and public-sector research.

By the end of the programme, the students will have:

• a comprehensive understanding of techniques, and a thorough knowledge of the literature, applicable to their chosen area;
• demonstrated some originality in the application of knowledge, together with an understanding of how research and enquiry are used to create and interpret knowledge in their chosen area;
• shown abilities in the critical evaluation of current research and research techniques and methodologies; and
• demonstrated some self-direction and originality in tackling and solving problems, and acted autonomously in the planning and implementation of research.