Sobre este curso

Oxford University
  • Data de início

    2020 - 2021
  • Fees

    £0
  • Study mode

    Full-Time
  • Ucas Code

  • Campus

    Oxford University
  • Qualification

    Doctor of Philosophy
Sumário

O melhor curso na melhor universidade para você

The information provided on this page was correct at the time of publication (November 2019). For complete and up-to-date information about this course, please visit the relevant University of Oxford course page via www.graduate.ox.ac.uk/ucas In the DPhil in Statistics, you will investigate a particular project in depth and write a thesis which makes a significant contribution to the field. You will acquire a wide range of research and transferable skills, as well as in-depth knowledge, understanding and expertise in your chosen field of research. You will become part of a vibrant community of researchers. The Department of Statistics in the University of Oxford is a world leader in research in probability, bioinformatics, mathematical genetics and statistical methodology, including computational statistics, machine learning and data science. Oxfordâ??s Mathematical Sciences submission came first in the UK on all criteria in the 2014 Research Excellence Framework (REF) and in 2016 the department moved to a newly-refurbished building in the centre of Oxford. Much of the departmentâ??s research is either explicitly interdisciplinary or draws its motivation from application areas, ranging from biology and physics to the social sciences. The department is also part of a number of Centres for Doctoral Training (CDT) which admit graduate students: Initially, you will be admitted as a Probationer Research Student in the same way as those intending to do a MSc by Research. Thus, it may be possible to switch between the two. The same standards are applied for admission for the two degrees. You will be assigned a named supervisor or supervisors, who will have overall responsibility for the direction of your work on behalf of the department. You will have the opportunity to interact with fellow students and other members of your research groups, and more widely across the department. Typically, as a research student, you should expect to have meetings with your supervisor or a member of the supervisory team with a frequency of at least once every two weeks averaged across the year. The regularity of these meetings may be subject to variations according to the time of the year, and the stage that you are at in your research programme. There are formal assessments of progress on the research project at around 12 to 15 months and at around 30 to 36 months. These assessments involve the submission of written work and oral examination. The final thesis is normally submitted for examination during the fourth year and is followed by the viva examination. You will be expected to acquire transferable skills as part of your training, and to undertake a total of 100 hours broadening training outside your specialist area over the course of the DPhil. Part of that broadening training is obtained through APTS, the Academy for PhD Training in Statistics; this is a joint venture with a group of leading university statistics departments which runs four weeks of appropriate courses a year. You will give a research presentation or prepare a research poster each year in the department. There may also be opportunities to undertake industrial internships as appropriate.

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