Aerospace Computational Engineering MSc

» Master

» Europe, United Kingdom (UK) (England, Northern Ireland, Scotland and Wales)

» Aerospace Engineering, Engineering & Technology

Intakes:

Deadline:

September

Always open

Cranfield University

About program

This unique course covers a wide range of applications focused on aerospace computational aspects. 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.

Our strategic links with industry ensure that all of the materials taught on the course are relevant, timely and meet the needs of organisations competing within the computational analysis sector. This industry-led education makes Cranfield graduates some of the most desirable for companies to recruit. Our industrial partners support this course by providing internships, acting as visiting lectures and delivering industrial seminars.

Program details

Degree type

Master

Specialization

Aerospace Engineering, Engineering & Technology

Study type

Full time, Part time

Cranfield campus

Delivery mode

On-Campus

40%, group project: 20%, individual research project: 40%

Program duration

1 years | Full time

3 years | Part time

Full-time: MSc - one year; Part-time: MSc - up to three years

Tuition fees

$29844

/year (Full time)

$29844

/year (Part time)

Intakes

September

Study language

English

Program structure

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.

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reflect the needs of business and industry and the research interests of our staff and, as a result, may change or be withdrawn due to research developments, legislation changes or for a variety of other reasons.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 compulsory and elective (where applicable) modules which are currently affiliated with this course. All modules are indicative only, and may be subject to change for your year of entry.

Course modules

Compulsory modules

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

– Computational Engineering Structures

English requirements

Only one is required

TOEFL-IBT

92/120

92 total and minimum skill component scores of 18 reading, 17 listening, 20 speaking and 17 writing.

IELTS

6.5/9

6.5 overall and 5.5 in all skill components.

PTE (Pearson)

65/90

65 overall and 59 in all skill components.

Academic 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.
Applicants who do not fulfil the standard entry requirements can apply for the Pre-Master’s course, successful completion of which will qualify them for entry to this course for a second year of study.