How to apply
Instructions on how to apply to our programme.
Applications are submitted online through the University of Edinburgh's portal EUCLID.
You will need to submit the following documents with your application. Make sure these are obtained in good time as we cannot consider applications without them.
- Degree certificate and transcript.
Check whether your international qualifications meet our general entry requirements.
- Proof of English language profficiency.
- 2 reference letters.
- Personal statement explaining why you want to be considered for the programme and what you think your major strengths are.
- CV. Highlight any special achievements but do not clutter it with too much information of little relevance.
- Research proposal (max 2 pages, including references)
This much misunderstood document is not a detailed plan of your future four years, that would be impossible! Instead, it's just a way to persuade us that you have been thinking a bit about one topic in biomedical AI. A good proposal answers the following questions: What is the biomedical motivation behind your proposal? What is the AI technique that you would use? What is the current work done in the field related to your topic? Is there a societal aspect to your topic (optional)?
To help us streamline the review of your application, please add at least two keywords to your research proposal, at least one from each of the following lists (you are welcome to add your own as well):
AI / machine learning: statistics, computer vision, image analysis, neural networks, Bayesian inference, dynamical system, experimental design, knowledge representation.
Biomedical and societal aspects: population health, cell biology, genomics, epigenetics, cancer, anti-microbial resistance, brain imaging, societal aspects of AI, study of innovation in society.
Applicants are expected to hold UK 2.1 honours degree, or its international equivalent, in computer science, mathematics, physics, engineering or a related discipline. Applicants with a degree in biomedical or social sciences and relevant technical experience are also welcome.
Applicants are expected to demonstrate the capacity to undertake master-level courses in AI, which requires some programming proficiency and a background in basic statistics and machine learning (e.g., regression, clustering). Relevant background might include: statistics courses during your undergraduate studies, online (certified) courses, or specific projects involving data science techniques during your education or work experience. Please give as much detail as possible in your personal statement, and be prepared to be asked technical questions in an interview.
Applications will be screened by our academic team, and successful applicants will be invited to attend an interview. We will be able to cover reasonable travel costs to attend interview (economy fares from Europe + 1 night stay).