Taught course

Statistics

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

Entry requirements

The course is intended for graduates who want to develop and deepen their knowledge of statistical methods for solving problems involving data arising in business and industry, in public service agencies or in research agencies. Applications will be considered from degree level graduates in any discipline. While the mathematical level of the course is kept to a minimum, some background in mathematics is essential; Leaving Certificate mathematics is an acceptable standard.

Months of entry

September

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.

Fees and funding

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Qualification and course duration

PGCert

part time
12 months

Course contact details

Name
Dr Myra O’Regan
Email
postgraduate@scss.tcd.ie
Phone
+353-1-896 1787