Course Modules
The original programme connected analytical foundations with hands-on application and independent research.
Business Intelligence
Business objectives, data warehousing, ethics and the analytics lifecycle.
Data Mining Algorithms
Classification, regression, clustering, association and sequence analysis.
Data Exploration & Pre-processing
Data quality, transformation, visualisation and preparation for modelling.
Data Science Applications
A practical project that connects an analytical question to a business objective.
Text & Web Content Mining
Methods for extracting information and knowledge from unstructured text.
GIS Mining
Spatial data, geographical information systems and geographic knowledge discovery.
Multimedia Mining
Feature extraction and mining techniques for images, audio and video.
Programming for Big Data
Programming techniques and distributed approaches for large datasets.
Statistics
Statistical methods and reasoning for the analysis of data.
MSc Research Project
Independent research, a focused question and a complete project lifecycle.