Online learning

Our Online Learning Courses will provide 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. Further funding is available for the development of other online courses which contribute to data science training and education in Scotland and across the world.

We are delighted to be funding three Online Learning Courses this year, selected as the best projects from our Open Funding call in 2016.

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. Find out more about applying for funding.

Please follow the course links to register for any of the online courses.

Available Courses:

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.

Course details:
In this course, you will learn about some of the different types of data and computational methods involved in stratified healthcare and precision medicine. You will have a hands-on experience of working with such data. You will learn from leaders in the field about successful case studies. This free 5-week course will run with an intake each month so you have an opportunity to enroll throughout the year.

Find out more and register for this course.

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.

Course details:
‘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. On this course you’ll learn how to make the most of data. Find out what data should be gathered, best practices around data governance, what tools and techniques will help you manage and analyse data, and how to work collaboratively with data scientists and digital teams.

Find out more and register for this course.

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.

Course details:
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.

Find out more and register for this course.

We would like to invite academics from universities across Scotland to contribute to our Skills and Training programme by submitting an application form to apply for funding their own Online Course.

Application Process

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 learning call Application Form by 17:00 on 31 August 2018.

Before submitting your Application Form please read our application guidance.

If you have any questions, please contact Joshua Ryan-Saha.

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