Taught course

Computational Engineering

Queen Mary, University of London · School of Engineering and Materials Science

Entry requirements

An undergraduate degree (minimum good second class honours or equivalent) in Engineering, Physics, Mathematics, Computer Science or a related discipline.

Months of entry


Course content

Computer simulation 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. 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 industrial companies such as Airbus, Alstom and Rolls Royce.

This programme will:

  • Allow you to choose your area of specialisation. You will specialise in an engineering discipline chosen from aeronautical, mechanical, chemical or sustainable energy engineering and will follow advanced modules in that specialisation.
  • 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.
  • Give you numerical analysis skills, which you will apply to engineering problems in your specialisation in your final MSc project.

Qualification, course duration and attendance options

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification

Course contact details

School of Engineering and Materials Science