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.
Students will develop solid programming skills and they will be able to tailor their degree by choosing one of the two available specialisations:
Data-Driven methods: Students will specialise in the integration of numerical methods and machine learning techniques with big data for solving real-life engineering and scientific problems.
Numerical techniques: Students will specialise in the development and analysis of modern computational methods with particular emphasis on the research aspect.
Extra Notes
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.
Remarks
* NOTE : The Tuition Fee is subject to change Semester wise, as such for exact Tuition Fee kindly see the Website of the respective University.
* NOTE : Pathways : Students who want to pursue a Graduate Degree through a particular University but are unable to meet the university requirements for the GPA, GRE/GMAT or English Language scores, have to take up an additional academic and language support i.e. pathways in order to ensure the admit and study at the desired University.