The MSc in Computational Engineering is for students seeking to acquire the necessary skills to develop and apply computational methods for performing virtual simulations of a wide range physical problems, including solid mechanics, fluid dynamics, wave propagation and multi-physics.
Applicants to this MSc are usually students with a background in an Engineering (mechanical, aerospace, civil or electrical) or Science (mathematics, physics) discipline. This is a multidisciplinary programme, with modules that are complementary to those seeking to develop computational engineering skills to further their careers in Engineering and Science.
WHY COMPUTATIONAL ENGINEERING AT SWANSEA?
Swansea University has been a world-leading institution in Computational Engineering since the 1960s, when Professor Zienkiewicz joined Swansea University. Professor Zienkiewicz is internationally recognised as the "Father of the Finite Element Method" and founded the International Journal of Numerical Methods in Engineering and the UK Association for Computational Mechanics. Since then, Swansea University has maintained a privileged international position in the field of Computational Engineering.
Did you know? We are:
97th in the World for Engineering – Mechanical, Aeronautical & Manufacturing (QS World University Rankings 2024)
Usually the entry requirements for the MSc Computational Engineering course is a first or second class honours degree in Engineering, Mathematics, or similar relevant science discipline. You will also need to have an overall mark of at least 55%, however performance in key modules will also be considered.
For fees and funding options, please visit website to find out more.
We offer a wide range of scholarships and bursaries for both taught and research courses to help you fund your study.
Graduates of the MSc Computational Engineering have a wide range of opportunities. They can access jobs in industry or academia, depending on their interests.
Companies that offer jobs to Computational Engineers include some of the most famous brands worldwide, namely Alphabet, Amazon, Apple, Boeing, Chevron, Coca-Cola, ExxonMobil, General Dynamics, HP, IBM, Intel, Meta, Microsoft, Nike, Pfizer, Tesla.
For module details please see here
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