Back in November 2016, The Data Lab launched an open call for Online Learning Courses with the main aim of providing skills and training on how to apply novel data science techniques that benefit any sector of Scottish industry, such as agriculture, tourism, medicine and gaming. During this process, The Data Lab published an Expression of Interest call, selected the best projects and then invited them to submit a full proposal for a final review.
After reviewing some very strong proposals, The Data Lab is delighted to announce that Three Online Learning Projects will receive funding and are due to launch next year. The projects are being developed by the University of Strathclyde, University of Dundee and University of Edinburgh in partnership with different industry sponsors.
Following the success of the first call and the continued effort to showcase Scotland as an international leader in data science, The Data Lab are looking to provide further funding for the development of online courses which contribute to data science training and education in Scotland and across the world.
Application Process
We would like to invite academics from universities across Scotland to contribute to our Skills and Training programme by submitting their Expression of Interest for an Online Course.
The Data Lab will provide between £30,000 and £50,000 for the development of up to five online courses. These must be delivered fully online, which means there should be no mandatory in-person requirement for the learner. You can select one of the following three course types:
- Short online course (for example: open resources and MOOCs) Up to £30,000
- Professional online course (for example: professional training) – Up to £30,000
- Large course (for example: MSc credit bearing course or MOOC + accompanying paid-for online training course) Up to £50,000
If you are interested, please complete and submit our online Expression of Interest Form by 17:00 on Friday 20th October 2017.
Before submitting your Expression of Interest (Part 1) please read our application guidance.
If you have any questions, please contact the Skills Team at skills@thedatalab.com.
The First Successful Online Courses
The Power of Data Science in the Health and Care Sector
This course is a collaborative project by the University of Strathclyde and UrbanTide, with an advisory team including members from FlyingBinary, NES and DHI.
‘The Power of Data Science in the Health and Care Industry’ is an online course which targets health and care practitioners and project and change managers. It aims to demonstrate the value of data, including how and what data should be gathered, data governance and requirements and how the data can be used to inform advent technologies such as precision medicine or stratified healthcare.
Data Science for the Games Industry
An online learning course created as collaboration between University of Dundee, Outplay, Scottish Games Network, 4J Studios, Ninja Kiwi, Teradata, Big Consultancy and Enterprise Porridge.
This course, targeting gaming industry experts and the gaming-interested alike, aims to teach participant’s how to store and effectively analyse these data goldmines by drawing on Scottish gaming case stories and the technical background.
Data Science in Stratified Healthcare and Precision Medicine
A course created by University of Edinburgh in collaboration with The Farr Institute, Innovative Healthcare Delivery Programme, NHS/NSS, IBM and Aridhia
Data Science in Stratified Healthcare and Precision Medicine is an online learning course for health and care professionals, undergraduate medical students and NHS staff. It aims to explain the key concepts of data science and data-intensive medicine and explore the opportunities and challenges that come part in parcel with emerging technologies. By drawing on local projects such as Edinburgh Genomics, who have the ability to sequence a whole human genome is just 48 hours, and The Scottish PACS Safe Heaven, a repository of medical imaging data, the course will explore the real life applications of these novel techniques.
