This new and unique course covers a wide range of applications focused on aerospace computational aspects. As mirrored by developments in the motorsport industry, within the next five years there will be a demand for engineers and leaders who will be using 100% digital techniques for aeronautical design and testing.
Who is it for?
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.
The part-time option is suitable for qualified engineers to extend their knowledge and incorporate CFD into their skill set.
Why this course?
This course 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. It 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. You will be able to meet the demand of an evolving workplace that requires highly qualified engineers possessing core software engineering skills together with competence in mathematical analysis techniques.
Sharing modules with the MSc in Computational Fluid Dynamics and the MSc in Computational and Software Techniques in Engineering this course gives you the opportunity to interact with students from other disciplines.
The taught modules are delivered from October to April via a combination of structured lectures, and computer-based labs. Many of the lectures are given in conjunction with some form of programming, you will be given time and practical assistance to developing your software skills.
Students on the part-time programme complete all of the compulsory modules based on a flexible schedule that will be agreed with the course director.
All the modules in the following list need to be taken as part of this course.
- C++ Programming
- Computational Methods
- Numerical Modelling for Compressible Flows
- Numerical Modelling for Incompressible Flows
- Analysis and Visualisation of Big Data System and High-Performance Computing
- Modelling Approaches for Aerospace Application
- CAE Advanced Applications
- Validation and Verification for Aerospace Applications
A first or second class UK Honours degree or equivalent in mathematics, physics, computer science or engineering discipline, or those with relevant industrial experience such as qualified engineers working with computational methods wishing to extend their knowledge.
Applicants who do not fulfil the standard entry requirements can apply for the Pre-Masters programme, successful completion of which will qualify them for entry to this course for the second year of study.
The MSc in Aerospace Computational Engineering is designed to equip you with the skills required to pursue a successful career working in the UK and overseas in computational aeronautic design and engineering.
Our courses attract enquiries from companies in the rapidly expanding engineering IT industry sector across the world who wish to recruit high-quality graduates who have strong technical programming skills in industry standard languages and tools. They are in demand by CAD vendors, commercial engineering software developers, aerospace, automotive and other industries and research organisations, and have been particularly successful in finding employment.
Some of our graduates go to PhD degrees. Project topics are most often supplied by individual companies on in-company problems with a view to employment after graduation – an approach that is being actively encouraged by a growing number of industries.
About the School
Cranfield's distinctive expertise is in our deep understanding of technology and management and how these work together to benefit the world.