Machine learning, data mining and high-performance computing 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. Bristol's recent investment in the BlueCrystal supercomputer - and our Exabyte University research theme - show our commitment to research at the cutting edge in this area.
This programme is aimed at giving you a solid grounding in machine learning, data mining and high-performance computing technology, and will equip you with the skills necessary to construct and apply these tools and techniques to the solution of complex scientific and business problems.
Your course will cover the following core subjects: -Introduction to Machine Learning -Research Skills -Statistical Pattern Recognition -Uncertainty Modelling for Intelligent Systems
Depending on previous experience or preference, you are then able to take optional units which typically include: -Artificial Intelligence with Logic Programming -Bio-inspired Artificial Intelligence -Cloud Computing -Computational Bioinformatics -Computational Genomics and Bioinformatics Algorithms -Computational Neuroscience -High Performance Computing -Image Processing and Computer Vision -Robotics Systems -Server Software -Web Technologies
You must then complete a project that involves 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. It is usually submitted in September.
This programme is updated on an ongoing basis to keep it at the forefront of the discipline. Please refer to the University's programme catalogue for the latest information on the most up-to-date programme structure.
Skilled professionals and researchers who are able to apply these technologies to current problems are in high demand in today's job market.