An undergraduate degree (minimum good second class honours or equivalent) in Engineering, Mathematics, or equivalent. Each application is individually assessed; you are recommended to contact us for guidance in specific cases. IELTS 6.5 is required
Months of entry
Computer Aided Engineering (CAE) is one of the strongest growing fields within engineering and underpins design and analysis in all engineering disciplines. Virtual prototyping, based on the numerical analysis of structures, fluids, acoustics and many other disciplines, has become absolutely central to the industrial design and analysis process. The skills and knowledge you will develop in this MSc programme will enhance your career prospects for employment in competitive industrial companies and research institutions.
This relatively new programme aims to provide you with a solid background in computational and numerical methods, as well as the relevant aspects of programming in modern programming languages such as C++. You will be introduced to a wide range of aspects of computation in engineering, both in structures and in fluids, including numerical optimisation. You will specialise in an engineering discipline chosen from aeronautical, mechanical, biomedical or sustainable energy engineering and will follow advanced modules in that specialisation. The numerical analysis skills you have gained are then applied to engineering problems in your specialisation for your final MSc project.
Research projects in CAE are drawn from a wide variety of applications in all of the specialisation areas, reflecting the strong research links that the staff members have with industrial companies such as Airbus, Alstom, Rolls Royce, TWI, and VW.
Fees and funding
There are a number of sources of funding available for Masters students.
These include a significant package of competitive Queen Mary University of London (QMUL) bursaries and scholarships in a range of subject areas, as well as external sources of funding.
Qualification and course duration
Course contact details
- School of Engineering and Materials Science
- +44 (0)20 7882 8732