Course options
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Qualification
PhD/DPhil - Doctor of Philosophy
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Location
University of Cambridge
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Study mode
Full time
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Start date
01-OCT-25
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Duration
4 years
Course summary
This four-year Doctoral Training Programme on computational methods for material modelling aims to train scientists not only in the use of existing modelling methods but also in the underlying computational and mathematical techniques. This will allow students to develop and enhance existing methods, for instance by introducing new capabilities and functionalities, and also to create innovative new software tools for materials modelling in industrial and academic research.
The first year of the doctoral training programme is provided by the existing MPhil course in Scientific Computing, which has research and taught elements, as well as additional training elements.
The MPhil in Scientific Computing is administered by the Department of Physics, but it serves the training needs of the Schools of Physical Sciences and Technology. The ability to have a single master’s course for such a broad range of disciplines and applications is achieved by offering core (ie common for all students) numerical and high-performance computing (HPC) lecture courses, and complementing them with elective courses relevant to the specific discipline applications.
In this way, it is possible to generate a bespoke training portfolio for each student without losing the benefits of a cohort training approach. This course will offer a degree of flexibility in allowing each student to liaise with their academic or industrial supervisor to choose a study area of mutual interest.
Application deadline
16 May 2024
Tuition fees
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£ 35,526per year
Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.
University information
University of Cambridge
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University League Table
1st
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Campus address
University of Cambridge, The Old Schools, Trinity Lane, Cambridge, Cambridgeshire, CB2 1TN, England
Subject rankings
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Subject ranking
2nd out of 12 1
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Entry standards
/ Max 217217 100%1st
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Graduate prospects
/ Max 10094.0 94%3rd
1 -
Student satisfaction
/ Max 43.21 80%7th
