In collaboration with the University of Manchester, the Topol Digital Fellowship Programme would like to invite expressions of interest to join the programme’s Machine Learning in Service Design and Delivery online course in September 2021. Ten free places will be available on the course to participate alongside the Cohort 2 fellows.

Course outline

If you are successful in gaining a place on the course you must be available to join ALL of the live webinars AND you must be able to commit to the self-paced, additional online learning hours indicated in the course outline below:

Session Webinars
(1 hour)
Online learning hours
Introduction to the programme 13th Sept 2 hours
Identifying socio-technical barriers to machine learning in practice w/b 4th Oct – TBC 2 hours
Using CAT scan data to predict the risk of fracture in patients with osteoporosis 8th Nov 2 hours
Introducing Machine Learning in Health Data Science (up to 4 notebooks – learner choice) 15th Nov Approx. 3 hours per notebook –
Panel Workshop 13th Dec – 2 hours None

How to apply

Applications can be submitted through the online expression of interest form via the link below. The application window will close at 17.00 on Friday 30 July 2021 or after 50 applications have been received.

Submit your application

Application criteria

Applicants must hold a professional registration from any clinical discipline, including healthcare science, and have an active project that the learning from the course can be applied to. All applications will be assessed by the team from the University of Manchester using the following criteria:

  • Does the candidate hold a professional clinical registration? Yes or No 
  • Is the candidate able to attend all sessions and complete the online learning? Yes or No 
  • Does the candidate have a relevant project in digital health? Scored 1-5 
  • Does this course support the candidate’s digital health project? Scored 1-5