The aims of this module are:

• To provide students with an in-depth understanding of the principles of data analysis in the context of analytics and management science problems.
• To enable students to develop numerical reasoning, analytical skills and competency to apply a range of statistical models to datasets and interpret their results.
• To provide students with practical experience of analysing real world datasets using analytics software tools such as SAS or equivalent.
• To provide a firm basis for the Customer Analytics module in semester 2.

The aims of this module are:

• to provide an understanding of the techniques and tools used to model and support management decisions;
• to develop skills in analysing and modelling management situations and in applying the models, methods and computer software to address the decision problems faced;
• to develop the ability of interpreting and analysing solution results and computer software outputs in the business and management context.

The aims of this module are:

• to understand various processes involved in big data analytics
• to understand and experience python and other programming approaches to big data
• to develop a critical and practical appreciation of activities and factors involved in organising big data analytics initiatives and projects
• to understand the skills and capabilities required for leading big data analytics applications
• to build the project management skills required for successful leadership of big data analytics initiatives and projects.