CDT MPhil + PhD in Computational Methods for Materials Science Program By University of Cambridge |Top Universities
Subject Ranking

# 8QS Subject Rankings

Program Duration

48 monthsProgram duration

Tuitionfee

54,151 GBPTuition Fee/year

Application Deadline

16 May, 2024Application Deadline

Program 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.

Program 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

Undergraduate

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

Tuition fee and scholarships

Domestic Students

32,179 GBP
-

International Students

54,151 GBP
-

One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.

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