Taught course

Data Science

University of Dundee · School of Science and Engineering

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


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 MSc Data Science at the University of Dundee is unique both in the material it delivers and in the way it is taught. Aimed at people currently working in IT who wish to obtain a formal qualification whilst continuing to work, our program will equip you with the knowledge you need to succeed in Data Science, whether you are already working in the field or you wish to move into this exciting and growing area.

Aimed at existing professionals who are in employment, the course is usually taken part-time over two years; although it can be taken full time or as stand-alone modules or as a PG Cert.

The course is delivered via a blend of:

  • Distance Learning – all the teaching material is on-line
  • Lectures – the students travel to the University for face to face lectures; typically 2-3 lectures a week for 20 weeks of the year.

Much of the course is delivered via ‘distance learning’ material – assignments and projects are done at home and recorded lectures are distributed during the semesters. We then augment the distance learning material with face to face teaching and the benefit of interaction it brings. By far the majority of the lectures are delivered in blocks called “Intensive weeks”; there are two intensive weeks for each of the two part-time years. These intensive weeks are held in January and April.

The modules that comprise the course were written for this course and not constructed from pre-existing material, ensuring that all modules are relevant and tightly integrated. These modules can be taken either on a stand-alone basis or as a PGCert.

Qualification, course duration and attendance options

  • MSc
    part time
    24 months
    • Campus-based learningis available for this qualification
    full time
    12 months
    • Campus-based learningis available for this qualification

Course contact details

Andy Cobley
+44 (0)1382 385078