Scientific Computing University of Cambridge

Overview

The  Scientific Computing course from the University of Cambridge 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.

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 facts:

By the end of the course, students will have:

• a comprehensive understanding of numerical methods, and a thorough knowledge of the literature, applicable to their own research;
• demonstrated originality 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.