Big Data in Clinical Psychology and Mental Health (977C8)

15 credits, Level 7 (Masters)

Spring teaching

Big Data is becoming increasingly important in Clinical Psychology, helping to shape mental health research and practice.

Big Data refers to large or complex datasets and can be analysed to identify patterns, trends or associations over time. It comes from a large range of sources, including existing research data, open access datasets, medical records and digital technologies.

On this module, you’ll explore approaches to searching, synthesising and analysing Big Data. You’ll gain insight into its role in Clinical Psychology, and how it is used to innovate research and clinical practice.

Contact hours and workload

This module is approximately 150 hours of work. This breaks down into about 22 hours of contact time and about 128 hours of independent study. The University may make minor variations to the contact hours for operational reasons, including timetabling requirements.

We regularly review our modules to incorporate student feedback, staff expertise, as well as the latest research and teaching methodology. We’re planning to run these modules in the academic year 2026/27. However, there may be changes to these modules in response to feedback, staff availability, student demand or updates to our curriculum.

We’ll make sure to let you know of any material changes to modules at the earliest opportunity.