Train with a team of world-leading researchers, industrial leaders, and government experts in a 4-year PhD programme in statistical and computational techniques of data science.

  • A bespoke training course which enables students to develop the knowledge and capability to pursue a cross-disciplinary PhD programme, under the supervision of internationally leading researchers, in a sector with a recognised skills gap.

  • The cross-disciplinary programme allows collaboration with internal partners across medicine, computer science, geography, economics, life and earth sciences, and external partners such as GCHQ, Office for National Statistics, Trainline and  GSK.

  • Students will be co-located with the Institute for Statistical Science in the School of Mathematics, which is shortly to occupy the Fry Building, a historic building which has undergone a £35 million refurbishment.

In order to address some of the complex challenges in developing and supporting methods for the efficient production of official statistics, it is important to attract people with the unique skills, interest and experience that is provided through the rigorous study provided by doctoral research training.

Duncan Elliott, Principal Methodologist, Office for National Statistics

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