Advanced Bayesian Analysis (online)

This module will focus on how to build such complex models based on prior beliefs and how to use cutting edge computational methods to perform fast and accurate inference. How to achieve automatic tuning of algorithms will also be explored.

Accordion / FAQ component

Most modules require a 2.2 degree in a related discipline or equivalent professional experience. Should you have any queries regarding your eligibility, please contact us at

N.B. Required to have completed mathematics and statistics modules that contain elements of linear algebra (specifically matrix manipulation) and calculus.

On successful completion of the module, learners should be familiar with the theory and implementation of advanced Bayesian inferential methods that are optimised to explore posterior distributions effectively, including when the likelihood is intractable. Learners shoule know which approaches to use and why and will have experience in fitting complex models to highly heterogeneous / structured data.


Learn from world renowned academic staff in Ireland’s leading, future focused and globally recognised colleges.

Gain an accredited NFQ qualification/micro credential that you may count towards a full award if you so wish in the future.

Previous modules may be used as recognition of prior learning towards Advance Centre degree programmes.

Equip yourself with the latest in demand skillset, tools, know-how and knowledge to succeed in your career.

Gain a competitive edge, influence growth and steer strategic goals in your organisation upon completion of your studies with the Advance Centre.

Yes, if you complete this module it can be credited as part of the MSc Data Analytics or Professional Diploma Data Analytics PT

Detailed Course Information

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