Data Science

Close up photo of person working on laptop

Our Data Science course aims to equip students with the necessary analytical skills to analyse linked health care data and to be aware of issues around clinical and information governance relating to their use.

  • Course dates: 17th April - 1st July 2023
  • Flexible Online Distance Learning (ODL) - learn at your own pace, in your own time
  • Non-accredited, but with a certificate of attendance (there is no assessment)
  • This course will be taught using STATA and/or R
  • Course Coordinator: Dr Claudia Geue, Senior lecturer in Health Economics and Health Technology Assessment

Data Science delivers core components of identifying, combining and analysing routinely collected health data. It will cover aspects of information governance and disclosure control, as well as focus on data management, manipulation and advanced methods of data analysis.

The course is aimed at health, social and clinical researchers who wish to learn techniques and skills to analyse linked health data. It will equip participants with the necessary analytical skills to analyse these types of data and to be aware of issues around clinical and information governance. Topics include: the use of observational data in HTA, information governance and disclosure control, theoretical principles of data linkage methods, sources of bias and measurement error in administrative health data, data management and manipulation of datasets with different structures, methods to adjust for confounding in comparative effectiveness analysis when using observational data, advanced survival analysis techniques.

Course Structure 

10-week online course comprising 10 lectures and accompanying practical exercises. The lectures will be 45min/1hr in duration and exercises associated with lectures will take a notional 2 hours for the participants to complete. Each week the academic lead will be responsible for monitoring and contributing to the discussion board. The exercise solutions will be posted on Moodle, our digital learning platform, the following week.  

Full details here of the Data science ‌course.

Registration & Fees

Fees are:

£660 for lower-middle-income countries (LMICs)

£704 for public/academic sector delegates

£1,100 for commercial/private sector

If you have any questions about this course, please email us: swh-hehta@glasgow.ac.uk

Email shw-hehta@glasgow.ac.uk to register for this course