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The University of Oxford

Modern Statistics and Statistical Machine Learning EPSRC CDT

University of Oxford
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Rank: 2 (The Complete University Guide)

Location: University of Oxford

Website: www.ox.ac.uk

Study mode full-time

Degree: Doctorate

Start Date: 2021/10/01

Duration: 48 months


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Ranking and student feedback

2

The Complete University Guide
7

UKEAS Ranking

The University of Oxford evaluation:

Mathematics evaluation:

Description

University of Oxford has opted into the TEF and received a Gold award.

The information provided on this page was correct at the time of publication (November 2020). 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/ucasThe Modern Statistics and Statistical Machine Learning CDT is a four-year DPhil research programme (or eight years if studying part-time). It will train the next generation of researchers in statistics and statistical machine learning, who will develop widely-applicable novel methodology and theory and create application-specific methods, leading to breakthroughs in real-world problems in government, medicine, industry and science. This is the Oxford component of StatML, an EPSRC Centre for Doctoral Training (CDT) in Modern Statistics and Statistical Machine Learning, co-hosted by Imperial College London and the University of Oxford. The CDT will provide students with training in both cutting-edge research methodologies and the development of business and transferable skills essential elements required by employers in industry and business.Each student will undertake a significant, challenging and original research project, leading to the award of a DPhil. Given the breadth and depth of the research teams at Imperial College and at the University of Oxford, the proposed projects will range from theoretical to computational and applied aspects of statistics and machine learning, with a large number of projects involving strong methodological/theoretical developments together with a challenging real problem. A significant number of projects will be co-supervised with industry.The students will pursue two mini-projects during their first year (specific timings may vary for part-time students), with the expectation that one of them will lead to their main research project. At the admissions stage students will choose a mini-project. These mini-projects are proposed by our supervisory pool and industrial partners. Students will be based at the home institution of their main supervisor of the first mini-project.For students whose studentship is funded or co-funded by an external partner, the second mini-project will be with the same external partner but will explore a different question.The students will then begin their main DPhil project at the beginning of the third term, which can be based on one of the two mini-projects. Where appropriate for the research, student projects will be run jointly with the CDT's leading industrial partners, and you will have the chance to undertake a placement in data-intensive statistics with some of the strongest statistics groups in the USA, Europe and Asia.Alongside their research projects students will engage with taught courses each lasting for two weeks. Core topics will be taught during at the beginning of their first year (specific timings may vary for part-time students) and are:

  • Bayesian Modelling and Computation
  • Statistical Machine Learning; and
  • Modern Statistical Theory.
Students will also be required to take a number of optional courses throughout their four years, which could be made up of choices from the following list: Advanced Monte Carlo methods, Causality and Graphical models, Networks, Nonparametric Bayes, Modern Asymptotics, Optimisation, (Deep) learning Theory and Practice, Reinforcement learning and Multi-Armed Bandits, Applied statistics and Genetics/computational biology.

Requirements

Entry requirements

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

Language qualifications

IELTS: 5.5 (UKVI IELTS 5.5)


Notice: This score might not be totally accurate. It is the default IELTS grade for The University of Oxford.

About this university

International students

Some 140 countries have attendees at Oxford and some 60% of the total student body is from outside the UK. There are various programs available for international students to help with orientation and integrating with life in Oxford as well as to help with legal matters such as immigration and visas. They can also help with practical matters such as dealing with finances and accessing health care with the National Health Service (NHS). Student life is filled with many traditions as befits a university of Oxford's age. One of these are the balls, held by the colleges with a formal dress code as well as smaller events regularly during the year. The Oxford University Student Union or OUSU, represents students and is their voice in debate about the university as well as organising student life organisations. There are a large number of sports available outside the classroom and many of these are of a high standard. The Boat Race is a famous example of a rowing race with nearby Cambridge University that is watched by up to 10 million TV viewers each year. There are also student newspapers and a radio station as well as performing arts groups. There are also student societies open to students who aren't studying the subject to learn something new and different.

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