| | Mathematics of Information (CDT) | | |
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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 | Doctorate | | |
| Honours | | | |
| Co-op | | | |
| Length | 4 Year(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 £27,048. | | |
| Scholarships | | | |
| Description | Cambridge Mathematics of Information (CMI) offers a four-year PhD programme, with a structured first year. Research areas in CMI range widely across the field of 'data science' including statistics and probability; applied, pure and computational analysis; and the theory and modelling of complex, dynamical and physical systems. Training, especially in the first year, emphasises not only individual study but also teamwork, communication and engagement with users of mathematics. Students are based at the Centre for Mathematical Sciences, which houses the Department of Pure Mathematics and Mathematical Statistics, Department of Applied Mathematics and Theoretical Physics, Statistical Laboratory, Isaac Newton Institute and Betty and Gordon Moore Library. | | |
| Next Steps | | | |
