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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
Computer Science (8) Engineering (12)

About the course

In a world of exponentially increasing data volumes, computationally intelligent data handling algorithms are crucial in a wide range of fields that require fast, accurate and automated decision-making. Data is being generated by IoT devices, social media platforms and commercial transactions at an increasing rate and there is a real need to process and understand this data in shorter and shorter time-scales.

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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.



 Course Content

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Where will I study?

Where is Cranfield University

Videos


All Available Videos:
Aerospace at Cranfield 2020 Aerospace at Cranfield 2020 01/02/2022 15:43:29
Aerospace at Cranfield 2020
Why study an MSc in Computational and Software Techniques in Engineering? Why study an MSc in Computational and Software Techniques in Engineering? 01/02/2022 15:43:49
Why study an MSc in Computational and Softwar...
A look back at Cranfield University over the years with former Professor Denis Howe A look back at Cranfield University over the years with former Professor Denis Howe 25/01/2022 16:27:24
A look back at Cranfield University over the ...
Group Project Experience for Computational and Software Techniques in Engineering - MSc Students Group Project Experience for Computational and Software Techniques in Engineering - MSc Students 25/01/2022 16:32:43
Group Project Experience for Computational an...

Student Profiles

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.

Scholarships

We have a limited number of scholarships available for the next intake of full-time master's students. Funding opportunities are available to recognise academic success and enable you to enrol at Cranfield University to continue your studies as a postgraduate learner.

Value of Scholarship(s)

Variable by course and applicant

Eligibility

What it covers -
Scholarships cover part of the tuition fee and the amount you can be awarded is at the discretion of the course director for the programme you have applied for.

Who can apply -
In order to be considered, you need to show both aptitude and ability for the subject you have applied for. Scholarships are available for full-time master's courses.

Application Procedure

Applicants wishing to be considered for a Cranfield Scholarship should indicate their interest on their course application form including a short statement of why they should be considered.


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