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.

The aims of this module are:

• to equip students with the core concept of Big Data theory and practice, and its role within a digitally transformative environment;
• to develop an awareness of the skills required for managing big data in different sectors/industries, and explore software tools available in managing large data sets;
• to identify and develop competence in Big Data Technology and its integration with business analytics;
• to gain knowledge on the applicability of Big Data Analytics in businesses, to uncover actionable insights for strategic decision-making.

The aims of this module are:

• Cover a wide range of approaches to customer analytics for a better understanding of enterprises, business and market, and enhanced business decision making.
• Develop the ability to interpret analytical information with emphasis on the use of industry-leading software tools.
• Develop skills in analysis and modelling of management situations and a sophisticated approach to evaluation of alternatives in complex scenarios.

The aims of this module are:

• to introduce some common types of operations planning problems and their applications;
• to develop skills in applying optimisation, simulation and other analytics techniques to model and solve these problems.

The aims of this module are:

• Demonstrate an understanding of the role of analytics in informing strategy and policy in the public and private sectors.
• Apply appropriate frameworks for policy and strategy analytics.
• Develop skills in analytical methods for policy and strategy analysis.
• Develop the ability to apply these skills to real world problems including external project work.

The aims of this module are:

• to develop a working knowledge of the processes required for the conduct of analytics projects in applied or research contexts;
• to give students the experience of executing an analytics project to tackle a practical or theoretical problem;
• to integrate the learning from the taught Business Analytics programme into this problem solving context.