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Modern Statistics and Statistical Machine Learning (EPSRC CDT) DPhil

University of Oxford

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Course options

  • Qualification

    PhD/DPhil - Doctor of Philosophy

  • Location

    University of Oxford

  • Study mode

    Full time

  • Start date

    25-APR-21

  • Duration

    4 years

Course summary

The 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.

During their first three months (six months for part-time students) at the CDT students will work on their first mini-project, and during months four to six (seven to twelve months for part-time students) of their DPhil they will work on a second 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. Each mini-project will be assessed on the basis of a report written by the student, by researchers from Imperial and Oxford.

The students will then begin their main DPhil project, which can be based on one of the two mini-projects. The final thesis is normally submitted for examination during the fourth year (or eighth year if studying part-time) and is followed by the viva examination.

Tuition fees

Students living in United States
(international fees)

£ 26,405per year

Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.

University information

University of Oxford

  • University League Table

    2nd

  • Campus address

    University of Oxford, University Offices, Wellington Square, Oxford, Oxfordshire, OX1 2JD, England

Subject rankings

  • Subject ranking

    2nd out of 110

    3rd out of 32

    1st out of 72

  • Entry standards

    / Max 236
    239 100%

    1st

    1
  • Graduate prospects

    / Max 100
    91 91%

    18th

  • Student satisfaction

    / Max 5
    n/a

  • Entry standards

    / Max 241
    215 97%

    2nd

  • Graduate prospects

    / Max 100
    88 88%

    8th

  • Student satisfaction

    / Max 5
    3.97 79%

    17th

    6
  • Entry standards

    / Max 236
    228 96%

    3rd

  • Graduate prospects

    / Max 100
    91 91%

    1st

  • Student satisfaction

    / Max 5
    n/a

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