This module is partnered with the data handling and decision making module and enables learners to develop their skills in data presentation to facilitate the understanding of findings and to enable others to make informed decisions. To achieve this the module will look at the appropriate use of graphs and charts as well as the use of specialist data visualisation packages and the tools available to visualise data mining outcomes. Necessarily this module is very practical and will provide a challenge to students from all backgrounds.

This module is designed to provide learners with the skills to enhance the quality and usefulness of data analytics by starting with the intended outcomes. The module will enable students to consider what it is that an organisation wants to gain from data analytics. From this the skills of selecting the most appropriate data collection method, designing deployment approaches, implementing data collection approaches and revising instruments and systems will be developed. This module will draw from both the cutting edge of automated data collection and traditional methods of data collection to enable the development of methodologically sound approaches.

This module examines the role of management accounting in supporting the development, growth and sustainability of a company.

This module will help the student to identify and evaluate the strategic contribution that the finance function can make to the growth and sustainability of a company and how it can help identify and manage risk.

The ‘research project’ is an essential part of the process of achieving master’s level. It provides students with the opportunity to design and undertake a research activity and to develop their ability to make critical and evaluative judgements. Building on the taught elements of the programme, students will undertake appropriate research in an area consummate with their qualification theme. By completing the research project students should demonstrate that they are able to produce work that is relevant in practice and has an academic standing at master’s level.

The aim of this module is to enable students to apply technical knowledge, analytical techniques and professional skills in the context of the preparation and evaluation of corporate financial statements and reports.This module will present students with a wide variety of modelling techniques that can be used to enhance the decision-making process. Each of the techniques will be evaluated to assess potential value and a range of practical scenarios will be used to demonstrate their application in practical business situations. Crucially, this module will balance the mathematic and analytical skills required to effectively use modelling techniques in decision making processes.