Taught course

Data Science (Individual modules)

University of Dundee · School of Science and Engineering
PG Module

Entry requirements

You should have, or expect to have, an honours degree at 2.1 or above, in Computing (or equivalent qualifications). However, if you don't meet this requirement you may still apply in which case you will need to prove that you have equivalent experience in the field in order to be accepted onto the course. All applicants will need to undergo a technical interview to ensure they have the necessary background to undertake the course.

Months of entry

January, September, May

Course content

There has been a recent upsurge in commercial interest in the new role of "data Scientist". A data scientist is a person who excels at manipulating and analysing data, particularly large data sets that don't fit easily into tabular structures (so-called "Big Data").

The University of Dundee has been working on this kind of data and these forms of analysis for at least five years; not only working with data but also developing new algorithms and techniques for data scientists. The University also ran the most successful Business Intelligence Masters course in the UK and this course builds on that success.

Professor Mark Whitehorn and Andy Cobley will lead the course. Mark is an emeritus professor. He runs a successful consultancy company that specialises in BI, data sciences and analytics. Andy is the course organiser.

Duncan Ross (Director of Data Sciences at Teradata) has said that:

'The first and most important trait is curiosity. Insane curiosity. In many walks of life evolution selects against the kind of person who decides to find out what happens "if I push that button". Data Science selects for it.'

You will gain knowledge, skills and understanding of data science research and implementation. You will gain skills in professional procedures. This will ensure that your data science research and implementation is valid and actionable. You will then be able to debate about the role, ethics and utility of data science in commercial and other settings.

Qualification and course duration

PG Module

full time
3 months

Course contact details

Andy Cobley
+44 (0)1382 385078