The Statistics and Machine Learning (StatML) Centre for Doctoral Training (CDT) is a four-year DPhil research course (or eight years if studying part-time). It will train the next generation of researchers in statistics and 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.
Statistics and Machine Learning (EPSRC CDT)
Statistics and Machine Learning (EPSRC CDT)
About
Requirements
English Program Requirements
English language proficiency
This course requires proficiency in English at the University's standard level. If your first language is not English, you may need to provide evidence that you meet this requirement. The minimum scores required to meet the University's standard level are detailed in the table below.
| Minimum overall score | Minimum score per component | |
|---|---|---|
| IELTS Academic (Institution code: 0713) | 7.0 | 6.5 |
TOEFL iBT, including the 'Home Edition' (Institution code: 0490) | 100 | Listening: 22 Reading: 24 Speaking: 25 Writing: 24 |
| C1 Advanced* | 185 | 176 |
| C2 Proficiency†| 185 | 176 |
*Previously known as the Cambridge Certificate of Advanced English or Cambridge English: Advanced (CAE)
†Previously known as the Cambridge Certificate of Proficiency in English or Cambridge English: Proficiency (CPE)
Your test must have been taken no more than two years before the start date of your course. Our Application Guide provides further information about the English language test requirement.
Fee Information
Tuition Fee
GBP 34,700Application Fee
GBPStatistics and Machine Learning (EPSRC CDT)
University of Oxford
United Kingdom,
Oxford
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