Imperial College London

Course Introduction

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. Our MSc in Applied Computational Science and Engineering will educate future domain-specialists in computational science. This immersive, hands-on MSc course will enable students to develop their skills and techniques for a range of science and engineering applications utilising High Performance Computing resources. Students will learn alongside world-class researchers in the Department of Earth Science and Engineering. There will be a strong emphasis on high productivity problem solving using modern computational methods and technologies, including computer code development and parallel algorithms. Applicants who want to pursue analytical careers in industries across science and engineering are a target for this course. Graduates will develop the skills necessary to enter the modern industrial workforce. 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. The Applied Computational Science and Engineering MSc programme will ensure that students are able to apply appropriate computational techniques to understand, define and develop solutions to a range of science and engineering problems. Students 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. Graduates of this course will fill the market demand for those with applied, hands-on computational experience who can solve real world problems. Through the combination of programming, foundational domain knowledge and advanced numerical literacy that this course provides, graduates will be highly sought after to work as expert analysts in industry, for example oil and gas, mineral exploration and climate science. 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.

Duration & Attendance Qualification Tuition fees Fee type
1 year
Full Time
MSc £12,500 Home Fees
1 year
Full Time
MSc £12,500 European Fees
1 year
Full Time
MSc £30,000 Overseas Fees

Qualifications required:

  • Domestic entry requirements: Students need to have a minimum requirement of 2.1 degree in engineering or science-based discipline.
  • International entry requirements: Students must achieve the College requirement in the appropriate English language qualification: Standard IELTS 6.5 overall (minimum 6.0 in all elements); Higher 7.0 overall (minimum 6.5 in all elements).