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What will I learn?

The 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.

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.

Which department am I in?

Department of Engineering

Study options

Full Time (1 year)

Tuition fees
£36,500.00 (US$ 41,671) per year
This is a fixed fee
Start date

1 October 2022

Venue

South Kensington Campus

Exhibition Road,

Kensington and Chelsea,

London,

SW7 2AZ, England

Entry requirements

For students from United States

Applicants should hold a Bachelor's degree. The minimum requirement is based on the university's selectivity ranking; from the most competitive we look for a minimum cumulative GPA of 3/4 to 3.25/4 or better. From other mainstream universities we look for a minimum cumulative GPA of 3.5/4 or better. Departments may require a higher grade from particular institutions.

For international students

Students need to have a minimum requirement of 2.1 degree in engineering or science-based discipline. All candidates must demonstrate a minimum level of English language proficiency for admission to the College. Standard IELTS 6.5 overall (minimum 6.0 in all elements). Students should have TOEFL scores 92 overall (minimum 20 in all elements).

*There may be different IELTS requirements depending on your chosen course.

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