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Teaching
The MPhil in Scientific Computing is a 12-month full-time Master’s Degree, which has a taught and a research element which carry equal examination credit. The taught element comprises core lecture modules on topics of scientific computing and elective modules relevant to the science or technology topic of the research project, while the research element is a project on a science or technology topic which is studied by means of scientific computation.
The core lecture modules are on topics of high-performance scientific computing and advanced numerical methods and techniques for solving real-world problems. These are lectured and examined by means of written examinations and written assignments during the first six months (October-March) of the course. Their purpose is to provide the students with essential background knowledge for completing their research projects and for their general education in scientific computing.
Appropriate elective lecture courses may be selected from the application streams offered by the Centre for Scientific Computing. They are decided in consultation with the stream leaders and the course director.
The research project will be on a science or technology topic which is studied by means of scientific computation. A list of projects will be provided by the beginning of March. Many of these will be supervised by the teaching staff of the course, but members of the Departments of the Schools of Physical Sciences and Technology will also be involved. Project work should begin after the submission of the written assignments.
| One to one supervision | Students are under the general direction of the course director and stream leaders. The University of Cambridge publishes an annual Code of Practice which sets out the University’s expectations regarding supervision. |
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| Seminars & classes | The course has a seminar programme which invites academic and industrial speakers. |
| Lectures | Students will take lectures, practicals and classes equivalent to around 165 contact hours in (for example) scientific high-performance computing and computational modelling. |
| Practicals | The lectures on topics of computational modelling and HPC are complemented with hands-on practical sessions. |
| Small group teaching | Small-group teaching ("supervisions") is not offered on the lecture courses. |
| Literature Reviews | Literature reviews form part of the written assignments and the research project reports. |
| Posters and Presentations | The students have to present a poster as part of their final examination. |
Feedback
Feedback on the student’s performance on their examination and on the written assignment results is provided by the course director or stream leaders; feedback on their research project progress is provided by their research project supervisor. Students receive written termly progress reports.
Postgraduate students are represented on the Department's Postgraduate Student Consultative Committee, which normally meets five times a year, and consists of one or more student representatives from each of the research groups. The committee exists to enable discussion of any issue affecting postgraduate studies and students may approach any member of the committee to suggest items for discussion.
Assessment
Thesis / Dissertation
The research project is assessed by means of two 7500-word (max) reports, each worth 25 per cent of the total assessment portfolio (i.e. 50 per cent in total). The submission dates for the reports will be in late May/early June and August. A viva voce examination on the project reports will take place between late August and early September
Written examination
The taught element is partially examined by means of three unseen written examination papers worth 25 per cent of the total assessment portfolio. Students will be expected to take all the written examination papers from the ones offered by the MPhil in Scientific Computing.
Other
The taught element is partially examined by means of two written assignments worth 25 per cent of the total assessment portfolio. The written assignments will be directly relevant to the research project of the student. The objective of the assignments is to provide the student with suitable background training on the underlying numerical methods and techniques which are necessary to complete the research project.