The University of Edinburgh
An understanding of data is increasingly recognized as important to the practice of anyone working in healthcare, as well as biomedical sciences. This BMedSci programme will offer medical students an opportunity to gain knowledge of how data science can improve the health and wellbeing of citizens. The programme will also help students develop valuable skills in data analysis using R and Python, which will make them better consumers and analysts of data, as well as more attractive employees for the health service, private industry, governmental and non-governmental organisation.
When studying within The University of Edinburgh, students have access to a high profile, innovative data environment. The Usher Institute, where the proposers of this programme are based, is a world-leading research institute focused on population health sciences and informatics. By joining the programme, the students will gain access to experts in data-driven innovation, who will act as their lecturers and project supervisors. Students will develop theoretical understandings and practical skills in these areas that will enable them to create innovative solutions that benefit the health and wellbeing of citizens.
The programme aims to equip students with the knowledge and skills they need to be active participants of data-driven innovation in healthcare and biomedical research. The students will learn about data science techniques used in the sector, their strengths and weaknesses, as well as their societal and ethical implications. This will enable them to contribute to research and development work in this area, as well as becoming managers and leaders in the health data science space.
Semester 1
- A compulsory core course Data Science for Health and Biomedical Sciences (20 credits)
- A compulsory core course Research Design and Reproducible Science Skills (20 credits)
- One in-programme elective course (10 credits)
- One external elective course (20 credits)
Semester 2
- Continuation of the core course Research Design and Reproducible Science Skills
- One in-programme elective course (10 credits)
- A research project involving data analysis (40 credits). Projects include preparation of a dissertation and an oral presentation.
Entry Requirements
Please visit The University of Edinburgh website for details.
Closing Date
1 February 2024