Course summary
Within the next five years there will be a demand for engineers and leaders who will be using 100% digital techniques for aerospace applications, design and testing. This unique course covers a wide range of applications focused on aerospace computational aspects. The MSc in Aerospace Computational Engineering aims to enhance your skills through a detailed introduction to the state-of-the-art computational methods and their applications for digital age aerospace engineering applications. You will be able to meet the demand of an evolving workplace that requires highly qualified engineers possessing core software engineering skills together with competency in mathematical analysis techniques. Who is it for? This course is suitable for those with backgrounds in mathematics, physics, computer science or an engineering discipline. We also welcome applicants with relevant industrial experience such as qualified engineers working with computational methods wishing to extend their knowledge. The part-time option is suitable for qualified engineers looking to extend their knowledge and incorporate CFD into their skill set. Why this course? With its blend of skills-based and subject-specific material, this course aims to provide students with generic practical skills and cutting-edge knowledge adaptable to the wide variety of applications in the field of aerospace computational engineering. By undertaking this MSc, you will enhance your skills through a detailed introduction to the state-of-the-art computational methods and their applications for digital age aerospace engineering applications. The course provides a unique opportunity for cross-disciplinary education and knowledge transfer in the computational engineering of fluid and solid mechanics for aerospace industrial applications. Focusing on fully integrated digital design for aerospace applications, you will be able to understand and implement numerical methods on various computing platforms for aerospace applications. As a graduate, you will meet the demand of an evolving workplace that requires highly qualified engineers possessing core software engineering skills together with competency in mathematical analysis techniques.
Assessment method
Taught modules: 40%, Group project: 20%, Individual Research Project: 40%
Qualified teacher status (QTS)
To work as a teacher at a state school in England or Wales, you will need to achieve qualified teacher status (QTS). This is offered on this course for the following level:
- Course does not award QTS
Entry requirements
A first or second class UK Honours degree or equivalent in mathematics, physics, computer science or an engineering discipline, or those with relevant industrial experience such as qualified engineers working with computational methods wishing to extend their knowledge. If you are an international student you will need to provide evidence that you have achieved a satisfactory test result in an English qualification. The minimum standard expected from a number of accepted courses are as follows: IELTS - 6.5; TOEFL - 92; Pearson PTE Academic - 65; Cambridge English Scale - 180; Cambridge English: Advanced - C; Cambridge English: Proficiency - C.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Provider information
Cranfield University
Cranfield
Bedford
MK43 0AL