Taught course


Trinity College Dublin - the University of Dublin · School of Computer Science and Statistics

Entry requirements

Applications are made online at: www.tcd.ie/courses/postgraduate/az

Months of entry


Course content

The course provides a broad introduction to the statistical
ideas and methods relevant to data gathering and analysis
in a wide variety of research areas as well as business and
administration. The intention is to provide participants with
a practical grasp of statistics based on a sound knowledge of
the underlying ideas and concepts. Graduates of the course
should be well placed to apply the ideas and methods to
which they have been introduced in their own work. To this
end, all the material is presented in the context of practical
examples from a wide range of applications.
The Base Module discusses the fundamental inferential ideas
underlying statistical methods. In dealing with these, more
emphasis than is usual in first courses is placed on the idea of an
underlying statistical model. It is hoped that this emphasis will
develop insight into the essential unity of the methods and avoid
the all-too-common impression of there being a cookbook full of
different statistical recipes for every possible occasion! The Elective
Modules apply these ideas to a range of specialised areas.

Information for international students


Fees and funding

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Qualification and course duration


part time
12 months

Course contact details

Assoc. Prof Eamonn Mullins
+353-1-896 1787