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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. The final three years consist of a PhD research project, with a student-led choice of projects from those offered by researchers closely associated with the CDT. Visit the Projects and Supervisors page on the Centre for Scientific Computing website for more details.
Programme overview
Main Subject
Computer Science and Information Systems
Degree
PhD
Study Level
PHD
Study Mode
On Campus
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. The final three years consist of a PhD research project, with a student-led choice of projects from those offered by researchers closely associated with the CDT. Visit the Projects and Supervisors page on the Centre for Scientific Computing website for more details.
Admission Requirements
7+
100+
193+
Applicants for this course should have achieved a UK High II.i Honours Degree.
16 May 2024
4 Years
Oct
Candidates are required to submit references or letter(s) of recommendation for acceptance
Domestic
32,179 GBP
International
54,151 GBP
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
CDT MPhil + PhD in Computational Methods for Materials Science
University of Cambridge, Cambridge, United Kingdom
# 9QS Subject Rankings
48 monthsProgramme duration
54,151 GBPTuition Fee/year
16 May, 2024Application Deadline
Programme overview
Main Subject
Computer Science and Information Systems
Degree
PhD
Study Level
PHD
Study Mode
On Campus
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.
The final three years consist of a PhD research project, with a student-led choice of projects from those offered by researchers closely associated with the CDT. Visit the Projects and Supervisors page on the Centre for Scientific Computing website for more details.
Programme overview
Main Subject
Computer Science and Information Systems
Degree
PhD
Study Level
PHD
Study Mode
On Campus
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.
The final three years consist of a PhD research project, with a student-led choice of projects from those offered by researchers closely associated with the CDT. Visit the Projects and Supervisors page on the Centre for Scientific Computing website for more details.
Admission Requirements
Applicants for this course should have achieved a UK High II.i Honours Degree.
Domestic
International
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
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Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
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