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PhD in Mathematics of Information


This cutting-edge training centre in the Mathematics of Information will produce a new generation of leaders in the theory and practice of modern data science, with an emphasis on the mathematical underpinnings of this new scientific field. The programme builds on the activities of CCIMI as well as those of CCA, with significant new components. As the relevant skill sets are multi-faceted in nature, ranging from computational, algorithmic to analytical and statistical expertise, they are best acquired in an interdisciplinary, cohort-based education system that exposes all students simultaneously to the many interlaced aspects of mathematics in data science, with the possibility of industrial collaboration. Subject areas of key importance are identified: large scale optimisation and variational methods, high-dimensional and non-parametric statistics, functional data analysis, Bayesian inference, mathematical inverse problems, partial differential equations, quantum information theory and computing, operations research and statistical learning theory, probability & random matrix theory, ergodic- & computational complexity theory. The centre will provide the opportunity to write a PhD thesis in any of these subject areas in pure or applied mathematics.

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Applications for October 2024 Entry

Applications to the CMI programme are currently suspended for entry in October 2024 whilst we await the outcome of our bid to become an EPSRC CDT.  In the meantime, if you are interested in the CMI programme and the research we do you are advised to apply to the 3-year PhD in either DAMTP or DPMMS, so that you can be considered during our recruitment period in January, and so you can meet important funding deadlines for the University.