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Mathematical and statistical research

Mathematical and statistical sciences play a key role in the UK economy both by solving challenging problems and by underpinning innovation in other sciences and in a wide range of key technologies. Mathematical tools are used on a daily basis, e.g., to keep our online transactions secure, to optimise our allocation of resources, or to develop materials that limit our energy consumption. They are at the heart of scientific and technological breakthroughs that improve health and raise living standards. 

Mathematical ideas are crucial for advances in the five strategic challenge areas driving the research agenda at Brunel. Statistical and mathematical methods in an economy that is seen as a complex structure promote global, connected, and secure communities. Artificial intelligence (AI) and data science are dependent on mathematics to find patterns in complex datasets to allow our digital futures. Deep Learning is revolutionising image processing and automation among other things, but, at heart, it is no more than the powerful interdisciplinary application and implementation of applied mathematics. Improvements in human, animal and plant health have been made possible by the development of genetic analysis, which relies on statistical methodologies. Operational research and statistical analysis support the high productivity of numerous industries in manufacturing, while the development of sustainable energies relies on mathematical modelling. It comes as no surprise that many of the existing research centres in the University need and use mathematical and statistical tools. 

Research in the mathematical sciences is a key element for the advancement of all areas of science and technology, and a vital area of science itself.