Bayesian Statistics (975C8)

15 credits, Level 7 (Masters)

Spring teaching

This module builds on Research Reform and Open Science. It further explores Bayesian approaches to statistics, including analysis of data.

Bayesian approaches are especially well suited to modelling real-world problems. This will be reflected in both the examples covered in the workshops and in the topics for the assessments. Bayesian approaches will be compared to frequentists approaches. The strengths and weaknesses of both approaches will be discussed.


100%: Practical (Workshop)


100%: Examination (Take away paper)

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 2024/25. 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.