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

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 strong basis in software engineering. This course gives you the tools and techniques that employers are looking for and an advantage in the job market.

Why this course?

Cranfield University has many years of specialist knowledge and experience in High Performance Computing. We are able to offer a unique insight into the development of computer applications across a wide spectrum of modern computing environments, from multi-core CPUs to specialist GPUs to cloud computing, all of which are relevant to the IT industry today.

You will focus on the enabling technologies aspects of high performance and cloud computing and algorithm development related to machine learning and data analytics.

Cranfield University is very well located for visiting part-time students from all over the world, and offers a range of library and support facilities to support your studies. This enables students from all over the world to complete this qualification whilst balancing work/life commitments. Part-time students have a flexible commencement date.

This MSc programme benefits from a wide range of cultural backgrounds which significantly enhances the learning experience for both staff and students.

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.