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MPhil in Scientific Computing
University of Cambridge

Student rating
(4.3)

Find out more about studying MPhil in Scientific Computing at University of Cambridge? We've gathered all the key details, entry requirements, modules, fees, and more. Take the next step by booking an open day to explore it for yourself.

Different course options

DATA SOURCE:
UNISTATS, UCAS
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Qualification

MPhil - Master of Philosophy

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Location

University of Cambridge

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Study mode

Full Time

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Start date

Oct 2027

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Duration

12 Month

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Course info

The MPhil programme in Scientific Computing provides world-class education on high performance computing and advanced algorithms for numerical simulation at continuum and atomic-scale levels. The course trains early-career scientists in the use of existing computational software and in the underlying components of the simulation pipeline, from mathematical models of physical systems and advanced numerical algorithms for their discretisation, to object-oriented programming and methods for high-performance computing for deployment in contemporary massively parallel computers. As a result, course graduates have rigorous research skills and are formidably well-equipped to proceed to doctoral research or directly into employment. The highly transferable skills in algorithm development and high-performance computing make our graduates extremely employable in all sectors of industry, commerce and finance, including aerospace, manufacturing, energy, hedge funds and fintech. The MPhil in Scientific Computing is suitable for graduates from any discipline of natural sciences, technology or engineering, who have good mathematical and computational skills. The MPhil in Scientific Computing is offered by the Department of Physics as a full-time course and introduces students to research skills and specialist knowledge. Its main aims are: To provide education in Scientific Computing of the highest quality at a graduate level and to produce graduates of the calibre sought by industry, the professions, and the public service. To provide training for the academic researchers and teachers of the future. To encourage and pursue research of the highest quality in Scientific Computing and its applications.

Key stats
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Complete University Guide ranking
1st
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Complete University Guide Computer Science ranking
1st
Tuition fees
Student living
£15,672
Students from Domestic

DATA SOURCE:
UCAS / IDP Connect

Uni info

Student rating
(4.3)
View reviews
CUG ranking 1st
University of Cambridge
The Old SchoolsTrinity LaneCambridgeCambridgeshireCB2 1TNUnited Kingdom