Bayesian Analysis: an Introduction

  • 5 hours
  • 1 day


This one-day course focuses on the principles of Bayesian data analysis.

You'll learn to apply Bayesian methods to your own research and understand other people’s results using Bayesian analysis.

This course is run by UCL's Centre for Applied Statistics Courses (CASC) - part of the UCL Great Ormond Street Institute of Child Health (ICH).

Course content

The workshop will help you to understand and critically evaluate published research that uses Bayesian analysis.

It will also give you the confidence to implement Bayesian concepts.

You'll learn about:

  • the differences between frequentist and Bayesian methods
  • the important features of Bayesian methods and how best to define them (such as priors and likelihoods)
  • how best to report or explain applied Bayesian analysis
  • using WinBugs to apply Bayesian analysis

Who this course is for

The course is aimed at professionals who want to be able to understand the fundamental principles of Bayesian analysis to assist their own research as well as interpreting other people's findings.

There are no pre-requisites but it's desirable to have a basic knowledge of statistics, i.e. notion of statistical inference, p-values and confidence intervals.

Learning outcomes

By the end of this course you should be able to:

  • understand the differences between frequentist and Bayesian methods
  • understand the important features of Bayesian methods and how best to define them (e.g. priors and likelihoods)
  • interpret Baeysian analysis results presented by others
  • know how best to report/explain applied Bayesian analysis
  • use WinBugs to apply Bayesian analysis

Cost and concessions

The fees are as follows:

  • External delegates (non UCL) - £150
  • UCL staff, students, alumni - £75*
  • ICH/GOSH staff and students - free    

* valid UCL email address and/or UCL alumni number required upon registration

Prices include printed course materials, refreshments (and lunch for non-ICH  participants).


You can request a certificate of attendance for this course once you've completed it. Please send your request to

Include the following in your email:

  • the name of the completed course for which you'd like a certificate
  • how you'd like your name presented on the certificate (if the name/format differs from the details you gave during registration)


We accept cancellations up to five working days before the start of the course with a full refund, though we'd appreciate as much notice as possible to re-allocate the place. Places cancelled or changed after this point won't be eligible for a refund. Please send all cancellation requests directly to the course administrator

Find out about other statistics courses

CASC's stats courses are for anyone requiring an understanding of research methodology and statistical analyses. The courses will allow non-statisticians to interpret published research and/or undertake their own research studies.

Find out more about CASC's full range of statistics courses, and the continuing statistics training scheme (book six one-day courses and get a seventh free.)

Sign up for short course announcements: Subscribe to the UCL Life Learning newsletter to receive news and updates on courses in your chosen area. (For updates on a specific course, contact the administrator - see 'Contact information'.)

Course team

Eirini Koutoumanou - Course Lead

Eirini joined GOS ICH in 2008 as the first CASC Teaching Fellow and was promoted to Senior Teaching Fellow in 2014. She has a Bachelor’s degree in Statistics from the Athens University of Economics and Business and a Master's degree in Statistics from Lancaster University, and she's currently studying for a PhD at ICH. Eirini started teaching at ICH straight after her student days, putting into practice and further developing her passion for statistics teaching. She's played an instrumental role in the formation of CASC and hopes to see it develop further.

Student review

“Really excellent and accessible introductory course - covered a lot in one day.”

“I would like to thank the course facilitator, who was very friendly, approachable and open to questions.”

“Overall I thought it was a good event, well prepared and with good content. It was transmitted clearly. I think Eirini did a great job putting across a complicated subject very simply. I will definitely recommend the course to colleges.”

“The course was very well delivered and I was glad to attend.”

Course information last modified: 20 May 2019, 16:54