| | Scientific Computing | | |
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| School | University of Cambridge Postgraduate Study | | |
| Location | Cambridge, EGL, United Kingdom | | |
| School Type | Graduate School | | |
| School Size | Full-time Undergraduate: 12,850
Full-time Graduate: 11,600 | | |
| Degree | Master | | |
| Honours | | | |
| Co-op | | | |
| Length | 12 Month(s) | | |
| Entry Grade (%)* | | | |
| Prerequisites | | | |
| Prerequisites Notes | Bachelor degree (Honours) or 4 years Bachelor's without Honours or Baccalaureat / Bachelier (first-cycle degrees in Quebec province (3 years) (except McGill University)) or Bachelor degree (Honours) or Bachelor's without Honours (3-4 years with 120 credits) from McGill University or First Professional Degree / Grade Professionnelle (titles include Doctor of Dental Medicine / Surgery, Doctor of Medicine and Juris Doctor) with a grade of 3.7/4, 3.7/4.3, A-, 8/9 (York University) | | |
| Cost |
Tuition cost is converted from £32,220. | | |
| Scholarships | | | |
| Description | The MPhil programme in Scientific Computing is based in the Department of Physics and is a full-time 12-month course which aims to provide education of the highest quality at master's level. Covering topics of high-performance scientific computing and advanced numerical methods and techniques, it produces postgraduates with rigorous research and analytical skills, who are well equipped to proceed to doctoral research or directly into employment in industry, the professions, and public service. It also provides training for the academic researchers and teachers of the future, encouraging the pursuit of research in computational methods for science and technology disciplines, thus being an important gateway for entering PhD programmes containing a substantial component of computational modelling. | | |
| Next Steps | | | |