Overview
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.
Features
- 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.
Programme Structure
Curriculum:
- Bayesian Modelling and Computation
- Statistical Machine Learning;
- Modern Statistical Theory.
Key information
Duration
- Full-time
- 48 months
- Part-time
- 96 months
Start dates & application deadlines
- Starting
- Apply before
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Language
Delivered
Disciplines
Statistics Machine Learning View 34 other PhDs in Statistics in United KingdomAcademic requirements
English requirements
Other requirements
General requirements
As a minimum, applicants should hold or be predicted to achieve the following UK qualifications or their equivalent:
- a first-class or strong upper second-class undergraduate degree with honours in mathematics, statistics, physics, computer science, engineering or a closely related subject.
Tuition Fee
-
International
29700 GBP/yearTuition FeeBased on the tuition of 29700 GBP per year during 48 months. -
National
8960 GBP/yearTuition FeeBased on the tuition of 8960 GBP per year during 48 months.
Part-time study
- Home £4,480
- Overseas £14,850
Living costs for Oxford
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find PhD's scholarship opportunities for Modern Statistics and Statistical Machine Learning.
Available Scholarships
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