Advanced Statistics and Data Mining module (AC53010)

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Module code


Semester: Summer


If you want to talk about an aspect of the module or your work on it, please make an appointment to see the lecturer.

If you use email, please include "AC11001 " in the heading.

About the Module

This module aims to compare and contrast different statistical techniques to solve complex analytical problems. Students will consider Bayesian statistical and dealing with outliers, type 1 and type 3 errors, false positives and other statistical analysis traps. You will learn about:

  • Advanced statistical techniques, when to use them and the pitfalls they create
  • Introduction to R and its use with database technologies
  • Data mining techniques.

Credit Rating

There are 20 SCQF points available on this module.

Assessment and Coursework

Coursework counts for 40% of the final module mark.
The final degree exam counts for 60% of the final module mark.


Marking criteria are provided on My Dundee for all assignment, so that you know what we are looking for when we are marking your coursework. Please ensure that you refer to these when completing assignments.

TitleValue (%)
Monte Carlo 40

Resource List

All course material will be available on My Dundee. This includes copies of lecture materials, practical exercises, and assignments. The reading list for this module can be accessed from My Dundee, and provides recommended materials for completing the module.