About the programme

“To equip the healthcare workforce to be leaders in the big data revolution”

The Innovation Scholars programme provides flexible and modular training in big data and AI. The programme is aimed to upskill health care professionals, researchers, and industry partners, in their ability to use and apply big data in their work and research.   

The training is grouped into three pillars:

  • Health Data Science exploring electronic data records (WS1);
  • ‘Omics harnessing genetics and molecular data collected in online databases (WS2);
  • Artificial Intelligence focusing data image analysis and understanding AI through practical applications (WS3).

Participants can pick and choose various modules which suit their needs as required. This training will contribute to the current and next generation of health care professionals, researchers and those in the commercial sector being able to understand, use and integrate biomedical data.

View training modules
Background

More about the programme

Healthcare is not exempt from the big data deluge which is transforming the workplace. However, in biomedicine there is a large amount of data which is not standardized, lacks a generic pipeline for analysis and is not accessible for interpretation or translation into changes which result in clinical impact.

An interdisciplinary team across Faculty of Life Science and Medicine and Institute of Psychiatry. Psychology and Neuroscience led by Professor Rebecca Oakey put in a successful bid to the UKRI Innovation Scholars funding call, securing two years’ worth of funding from the MRC to deliver innovative big data and artificial intelligence (AI) training to the healthcare workforce. This grant is in collaboration with the GSTT BRC, the Maudsley BRC and The Crick Institute.