Imperial College London
South Kensington, London, UK
Full-time Study
The 12 month, full time MSc in Applied Computational Science and Engineering will educate future domain-specialists in computational science.
This course will expand your knowledge of numerical methods, computational science, and how to solve large scale problems by applying novel science and engineering approaches. It is suitable for graduates of disciplines including maths and physical sciences, geophysics and engineering, and computer science.
Do you want to develop your Machine Learning skills using High Performance Computing resources? Then this immersive, hands-on MSc course is for you.
You will learn alongside world-class researchers in the Department of Earth Science and Engineering, with a strong emphasis on high productivity problem solving using modern computational methods, including code development and parallel algorithms. You will learn to apply appropriate computational techniques to understand, define and develop solutions to a range of science and engineering problems. You will have the chance to participate in individual and group research projects as well as to write reports and present technical work, developing the project management and numerical skills that employers want.
Careers
Graduates will develop the skills necessary to enter the modern industrial workforce and fill the market demand for those with applied, hands-on computational experience who can solve real world problems.
Graduates of this course will be highly sought after to work as expert analysts in industries across science and engineering.
This MSc will also prepare for your PhD studies in fields such as computational techniques, numerical analysis, optimisation and inversion, fluid mechanics, heat transfer, and machine learning applications.
Graduates will be in an ideal position to pursue academic careers in fields such as computational techniques, optimisation and inversion, fluid mechanics, and machine learning applications.
Modules
Currently, students take all of the core modules below:
- Advanced Programming
- Applied Computational Science and Engineering Project
- Applying Computational Science
- Inversion and optimisation
- Machine learning
- Modelling Dynamical Processes
- Modern Programming Methods
- Numerical methods
- Patterns for parallel programming
- Research Computing Primer (non-assessed; pre-session)
Teaching
- Case studies
- Formal presentations
- Group work exercises
- Lectures
- Seminars and practical coding activities
Assessment
- Individual and group coursework
- Oral presentations
- Research project report
- Written examinations
Entry Requirements
We welcome students from all over the world and consider all applicants on an individual basis. Our minimum requirement is a 2.1 degree in engineering or science-based discipline.
How To Apply
All applicants must apply online.
For full details on the online application process, please visit the admissions website.
For more information please visit the course website.
If you have further queries, please contact Ying Ashton, Postgraduate Education Administrator, y.ashton@imperial.ac.uk