Overview
The first year of the Computational Methods for Materials Science programme at University of Cambridge 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 a range of lecture courses on high performance computing and advanced scientific models and algorithms for numerical simulation at continuum and atomic-scale levels.
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.
Learning outcomes
By the end of the MPhil, students will have:
- a comprehensive understanding of numerical methods and high-performance computing techniques applicable to their own research;
- demonstrated independent research capability in the application of knowledge, together with a practical understanding of how research and enquiry are used to create and interpret knowledge in their field;
- shown abilities in the critical evaluation of current research and research techniques and methodologies; and
- demonstrated self-direction and originality in tackling and solving problems, and acted autonomously in the planning and implementation of research.
By the end of the PhD programme, students will have demonstrated:
- the creation and interpretation of new knowledge, through original research or other advanced scholarship, of a quality to satisfy peer review, extend the forefront of the discipline, and merit publication;
- a systematic acquisition and understanding of a substantial body of knowledge which is at the forefront of an academic discipline or area of professional practice;
- the general ability to conceptualise, design and implement a project for the generation of new knowledge, applications or understanding at the forefront of the discipline, and to adjust the project design in the light of unforeseen problems;
- a detailed understanding of applicable techniques for research and advanced academic enquiry; and
- the development of a PhD thesis for examination that they can defend in an oral examination and, if successful, graduate with a PhD.
Programme Structure
Courses include:
- The taught element comprises lecture modules on topics of scientific computing and relevant to the science or technology topic of the research project, while the research element is a project on a science or technology topic which is studied by means of scientific computation.
- The lecture modules are on topics of high performance scientific computing and advanced scientific models and algorithms for numerical simulation at continuum and atomic-scale levels.
- The research element aims to provide essential skills for successful completion of the PhD, as well as to assess and enhance students' research capacity. The research project will be on a science or technology topic which is studied by means of scientific computation.
- The PhD project is research only.
Key information
Duration
- Full-time
- 48 months
Start dates & application deadlines
- Starting
- Apply before
-
All applications are considered as they are received (rolling admissions).
Language
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Delivered
Campus Location
- Cambridge, United Kingdom
Disciplines
Materials Science Computer Sciences View 495 other Masters in Computer Sciences in United KingdomWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- Applicants for this course should have achieved a High II.i Honours Degree.
- If your degree is not from the UK, please check International Qualifications to find the equivalent in your country.
- Your first degree should be in science or a technology discipline, and you are expected to be able to demonstrate an adequate level of computer literacy (should be able to write code performing a science or maths application using a high-level computing language).
Tuition Fees
-
International Applies to you
Applies to youNon-residents43530 GBP / year≈ 43530 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents16614 GBP / year≈ 16614 GBP / year
Living costs
Cambridge
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Need help with your student visa?
Get personalized guidance from a certified VFS Global advisor and save 20% through Studyportals.
- Avoid common visa mistakes and delays
- Know exactly what documents you need
- Get a clear checklist tailored to your situation
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Computational Methods for Materials Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility