Program Overview

MPhil in Scientific Computing

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.

Course Overview

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 course 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.

Learning Outcomes

By the end of the course, students will have:

• a comprehensive understanding of numerical methods and high-performance computing techniques applicable to their own research area;
• 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 in tackling and solving problems, and acted autonomously in the planning and implementation of research.

Course Details

• Duration: 12 months full-time
• Study Mode: Taught
• Degree: Master of Philosophy
• Department: Department of Physics (advertised in multiple departments, including Department of Applied Mathematics and Theoretical Physics, Department of Pure Mathematics and Mathematical Statistics, Department of Chemistry, Department of Materials Science and Metallurgy, Department of Engineering, and Department of Chemical Engineering and Biotechnology)

Key Dates

• Applications open: September 3, 2025
• Application deadline: May 14, 2026
• Course starts: October 1, 2026
• Funding deadlines:
  • Course Funding Deadline: January 7, 2026
  • Gates Cambridge US round only: October 15, 2025

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