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

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

Different course options

Full time | Cranfield Campus | 1 year | SEP

Study mode

Full time

Duration

1 year

Start date

SEP

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Digital Metrics / Website Analytics Computational Physics Engineering Studies

Course Summary

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.The ability to automate the analysis of these large data sets in batch or real-time environments brings huge benefits and competitive advantages to a range of commercial sectors, such as financial, manufacturing, retail, aerospace, automotive and defence. You will develop a solid base of skills in computer science and artificial intelligence, necessary to develop and validate effective algorithms. These abilities will help you to deal with a range of complex problems where intelligent decision-making or future predictions are based on an understanding of Big Data environments, and applying effective solutions.The course is directed by an Industrial Advisory Panel that meets twice a year. The committee acts in an advisory role, assessing the content of the course and its relevance to present industrial needs. A number of members also attend the annual student thesis presentations which take place at the end of July, a month or so before the end of the course.

Modules

The Java and Python programming languages have become key languages for developers of computational and scientific codes in both desktop and internet/cloud network based environments.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

£12,505

International fees
Course fees for EU and international students

For this course (per year)

£27,910

Entry requirements

A UK lower second-class (2:2) undergraduate degree with honours, as a minimum, or equivalent international qualification. Ideally applicants will have studied in aeronautical, mechanical or electrical engineering or a computer science discipline.

Department profile

Our Master’s programmes attract students from around the world, drawn by the combination of academic excellence, strong industry focus and our unique facilities. We have been providing world-class postgraduate education and training for over 75 years. The faculty prides itself in graduating students that are ready to tackle the emerging needs of industry that go on to join our influential alumni network where our graduates can be found in senior...more

University information

Cranfield University is an exclusive postgraduate university with a main campus in Cranfield, Bedfordshire, and a second site in Shrivenham, Oxfordshire. The university specialises in science, engineering, technology and management, exploring how they work together to benefit the world. Cranfield’s world-class postgraduate courses and unrivalled facilities attract talented and hard working students from around the world. The university...more

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