This module will look at:
- Introduction to Big Data Analytics
- Data Analytics Lifecycle
- Review of Basic Data Analytic Methods Using R
- Clustering
- Association Rules
- Regression
- Classification
- Time Series Analysis
- Text Analysis
- MapReduce and Hadoop
- In–Database Analytics

A 3000 word report (100%) based on providing a solution for a complex scenario with respect to data modelling. It is expect that the student will be provided or generate a big data set and will apply techniques taught in the module to interpret and analyse the data set to aid an organisation in decision making.

Learning outcomes 1, 2 , 3.

Online and VLE
Major statistical package such as GENSTAT, SPSS

Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data, Dietrich et Al. , 2015, John Wiley & Sons, ISBN-13: 978-1118876138

1) Critically identify and discuss appropriate strategies for modelling and analysing big data. (Knowledge and Understanding, Problem Solving).
2) Critically analyse data and interpret results obtained from real-world problems. (Analysis, Enquiry).
3) Critically analyse data using appropriate statistical techniques, make inferences about a wider population and communicate the results to both specialists and non-specialists. (Analysis, Communication).

The VLE will provide supporting learning materials. The module will use a discussion forum and blog posts to allow students to share ideas and expertise. Tutor support will be available via the discussion forum and Skype and also by email and telephone.