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 for students to be able to:

• understand and distinguish between the information needs of users in a digital organisation
• understand the technology that has defined the semantic web
• understand the new technologies that make up the semantic web
• understand the methods available for integrating external and internal data, information and knowledge
• understand the role that information architecture plays in AI.

The aim of this module is to enable students to develop a critical understanding and practical ability in use of the core IT infrastructure, architecture, processes and technologies that underpin business efficiency and effectiveness in the modern data-driven organisation.

The aims of this module are to:

• encourage students to take ownership of their personal learning and development;
• improve student's capabilities in the area of literature searching, referencing, academic writing and critical analysis;
• to build the skills required for effective working individually or in teams;
• to equip students with the relevant theoretical and practical research method knowledge required to design, plan and execute their own research.