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.