Cranfield University

Course Details

Aerospace Computational Engineering MSc

Course Description

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 develop 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. Group project The Group project is related to digital wind tunnel development. Individual project The taught element of the course finishes in May. From May to September you will work full-time on your individual research project. The research project gives you the opportunity to produce a detailed piece of work either in close collaboration with industry, or on a particular topic which you are passionate about. Assessment Taught modules: 80%, Group project: 40%, Individual Research Project: 80% University Disclaimer Keeping our courses up-to-date and current requires constant innovation and change. The modules we offer reflect the needs of business and industry and the research interests of our staff and, as a result, may change or be withdrawn due to research developments, legislation changes or for a variety of other reasons. Changes may also be designed to improve the student learning experience or to respond to feedback from students, external examiners, accreditation bodies and industrial advisory panels. To give you a taster, we have listed the core modules and some optional modules affiliated with this programme which ran in the academic year 2016–2017. There is no guarantee that these modules will run for 2017 entry. All modules are subject to change depending on your year of entry. Core modules C++ Programming Computational Methods Numerical Modelling for Steady and Unsteady Compressible Flows Numerical Modelling for Steady and Unsteady Incompressible Flows CAE Advanced Applications Modelling Approaches for Aerospace Applications Validation and Verification for Aerospace Applications Analysis and Visualisation of Big Data System

Course Duration

NumberDuration
1year

Career outcomes

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 onto 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.




Aerospace Computational Engineering MSc Cranfield University