Data are currently revolutionising the life sciences, leading to the new disciplines of precision medicine and stratified healthcare. Both these revolutionary changes are driven by principles of data science that we explain in this course; illustrated with examples of their effects; and motivated through conversations with leaders in the field. The course will mainly consist of: i) short lecture videos delivered by course staff and guest speakers, with the latter presenting case studies and discussing their personal stories, ii) slides and in-video quizzes, and iii) coursework, consisting of weekly quizzes and 1-2 projects
Edinburgh Data Science
Prof Dave Robertson and Dr Areti Manataki
Building on recent advances in Online Learning research, this MOOC effectively aligns with the Online Learning strategic priority of the University. It also contributes towards Widening Access, by making high-quality educational content on data-intensive medicine more accessible to busy healthcare professionals and medical students.
An application for matched funding has been made to the Data Lab for £60,000. We will not find out about the success of this bid until mid-March 2017. We also have commitment from the following partners to contribute course content towards the proposed MOOC: The Farr Institute, Aridhia, Innovative Healthcare Delivery Programme (IHDP), National Health Service (NHS) and IBM
Current project status
|Report Date||RAG||Budget||Effort Completed||Effort to complete|
|April 2018||BLUE||0.0 days||0.0 days||0.0|