Aerospace Computational Engineering

Cranfield University
England
Provided by: ucas

Progression 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.

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Start Date

2026-10-01
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Tuition fee

Not found

Full-time

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Start Date

2026-09-01
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Tuition fee

Not found

Part-time

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