Key information
- Duration: Full-time: 48 months; Part-time: 96 months
- Start date: September 2027
- Application deadline: Not specified
- Language: English
- Delivery: On Campus
- Campus location: Oxford, United Kingdom
- Disciplines: Statistics, Machine Learning
Overview
The Statistics and Machine Learning programme offered by University of Oxford aims to train students to develop widely-applicable novel methodology and theory and create application-specific methods that will lead to breakthroughs in real-world problems in government, medicine, industry and science.
The course will provide you 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.
Features
Given the breadth and depth of the research teams at Imperial College and 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 challenging real-world problems. A significant number of projects will be co-supervised with industry.
You will pursue two mini-projects during your first year (specific timings may vary for part-time students), with the expectation that one of them might lead to your main research project. Alongside your research projects you will engage with taught courses each lasting for two weeks. Core topics will be taught in the first six months of your first year (specific timings may vary for part-time students).
Programme Structure
Curriculum
- Modern Statistical Theory
- Statistical Machine Learning
- Causality
- Bayesian methods and computation
Admission requirements
Academic requirements
GPA: Upper Second Class
General requirements
- A first-class or strong upper second-class undergraduate degree with honours in mathematics, statistics, physics, computer science, engineering or a closely related subject.
- However, entrance is very competitive and most successful applicants have a first-class degree or the equivalent.
- For applicants with a degree from the USA, the minimum overall GPA that is normally required to meet the undergraduate-level requirement is 3.6 out of 4.0. However, most successful applicants have a GPA of 3.7.
English requirements
TOEFL iBT: 100
IELTS: 7
Fees and funding
Tuition Fees
International: 66,040 AUD / year (approximately 34,700 GBP / year)
Domestic: 19,926 AUD / year (approximately 10,470 GBP / year)
Part-time study: Home: £5,235 per year; Overseas: £17,350 per year
Living costs
Oxford, United Kingdom: 1,787–2,912 AUD / month. Living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.