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Course overview Immerse yourself in the field of natural computation with our MRes course. You'll develop a strong foundation for a research and development career in industry or academia. Delve into the multidisciplinary area of computational systems that use ideas and gain inspiration from natural systems. Learn what’s involved with becoming a scientific researcher as our course combines core principles with innovative research. This multidisciplinary area is the study of computational systems that use ideas and gain inspiration from natural systems. The MRes programme explores current topics in natural computation, such as evolutionary algorithms, co-evolution, evolutionary design, nature-inspired optimisation techniques, evolutionary games, novel learning algorithms, artificial neural networksdeep learning and theory of natural computation. Break new ground with our research in the theory and practice of computational systems and their applications Study computational systems inspired by nature, covering evolutionary algorithms, nature-inspired optimisation, and artificial neural networks Work on an in-depth research project, often industry-driven, to investigate a chosen topic in natural computation Gain transferable knowledge through our compulsory Research Skills module that will equip you for research-oriented careers in industry or academia
You should have a 2:1 Honours degree in Computer Science, Computer Engineering, or another science or engineering subject with a significant computing component. This is a highly selective Masters programme with only a limited number of places available. The MRes in Natural Computation is research-oriented and includes two mini-projects and a summer project, all written in the style of a peer-reviewed scientific journal paper. Your application should include two sides of A4 outlining your research interests and tentative ideas you plan to develop for these three projects, which should normally align closely with the research interests of the School.