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Computational Intelligence for Data Analytics option - Computational and Software Techniques in Engineering (MSc)


Cranfield University Aerospace

Full time & Part time September MSc One year full-time, two-three years part-time

About the course

Computationally intelligent data handling algorithms are crucial in a wide range of sectors that require fast and automated decision-making. These industries typically include financial, manufacturing, aerospace, automotive and defence.

This specialist option of the MSc Computational and Software Techniques in Engineering will enable you to develop a solid base of computer science skills and focused expertise, necessary to develop fast algorithms capable of dealing with a range of complex problems where intelligent decision-making or future predictions are based on understanding of data collections.

Who is it for?

If you intend to make a career in software development, whether it is in the data centre, on the desktop or in the rapidly expanding mobile application space, you need to have a

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Entry Requirements

A first or second class UK honours degree (or equivalent), in aeronautical, mechanical or electrical engineering or computer science or be applying as part of a recognised double-degree programme with their home EU institution. Entry level C programming experience is advisable but not required. Applications from candidates with lesser qualifications but with considerable relevant work experience will be considered.


Fees

Please see the Cranfield University website for further information on fees for this course.

Course Content



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Student Profile(s)

Raquel Rivero Catino

Cranfield gives good teachers, interesting lectures, updated group projects with the best technology available currently, and most importantly the perfect preparation and connection with industry that helps start your professional career.


Ophélie Choupin

The reason why I wanted to come to Cranfield is because it's one of the best ranked schools. I really like coding and using computational tools to solve engineering problems. I think the course is really relevant and useful for today's digital era.


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