Overview
It will equip them with skill sets spanning experimental and analytical genomic science in order to realise the potential of genomics and practice the qualities of fair and inspiring leadership that we will instil during the course.
Features
- The first year includes taught modules focused within the first term.
- First-year Genomic Medicine and Statistics students at University of Oxford then undertake short research projects in up to three laboratories in three-month rotations, with further training and teaching sessions tailored to the needs of individual students.
Programme Structure
Research
- The research projects and lab visits help inform the choice of DPhil project to be undertaken over the subsequent three years of the programme.
- The final three years of the course will comprise doctoral research under the supervision of two named supervisors and a doctoral committee.
- Applicants are advised to visit the Doctoral Training Centre course webpage for further information about supervisors connected to this programme.
Admission requirements
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
- TOEFL iBT: 110
- IELTS: 7
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 a relevant biological science or quantitative subject.
Fees and funding
Tuition Fees
Tuition fees are shown in AUD and the most likely applicable fee is shown based on your nationality.
- International: 65,514 AUD / year (≈ 34,700 GBP / year)
- Domestic: 19,768 AUD / year (≈ 10,470 GBP / year)
Living costs
Oxford, United Kingdom: 1,773-2,889 AUD / month
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Scholarships Information
Below you will find PhD's scholarship opportunities for Genomic Medicine and Statistics.