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Machine Learning and Data Mining are concerned with the automated analysis of large-scale data by computer, in order to extract the useful knowledge hidden in it. Using state-of-the-art Artificial Intelligence methods, this technology builds computer systems capable of learning from past experience, allowing them to adapt to new tasks, predict future developments, and provide intelligent decision support.
This programme is aimed at giving you a solid grounding in Machine Learning and Data Mining technology and equipping you with the skills necessary to construct and apply ML and DM tools to the solution of complex scientific and business problems.
Skilled professionals and researchers, who are able to apply Machine Learning and Data Mining technology to current problems and thereby push the limits of what computers can effectively do, are in high demand.
In the introductory week you will take a programming proficiency test and will be placed in either an 'experienced' stream or a 'foundation' stream.
This programme is updated on an ongoing basis to keep it at the forefront of the discipline. Please refer to the School website (below) for the latest information.
Depending on previous experience or preference, students take units such as:
* Programming in C
* Image Processing and Computer Vision
* Mobile and Ubiquitous Computing
* Learning in Autonomous Systems
* Introduction to Machine Learning
* Computational Genomics and Bioinformatics Algorithms
* Uncertainty Modelling for Intelligent Systems
* Advanced Algorithms
* Algorithmic and Economic Aspects of the Internet
* Computational Neuroscience
* Artificial Intelligence with Logic Programming
* Pattern Analysis and Statistical Learning
* High-Performance Computing
* Server Software
* Robotics Skills
* Research Skills
You must then complete a project which consists of researching, planning and implementing a major piece of work. The project must contain a significant scientific or technical component and will usually involve a software development component. This is usually submitted by the end of September.
At least an upper second-class Honours degree (or International equivalent) in Computer Science or related discipline. Applicants with a background in Mathematics or Statistics may also be considered. Reasonable knowledge of programming is a prerequisite.
An IELTS score of 6.5 with a minimum of 6.0 in all bands. We also accept other language tests; please see our website for details.
|CAE score:||75(Grade B)|
You are normally required to take an English Proficiency Test.
Most European Universities recognise the IELTS test.Take IELTS test
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