Master of Science - Business Analytics

We start by providing an overview of big data and business analytics and its context in a business environment where data is rapidly becoming one of the most valuable assets. We will introduce you to the historical context and growth of big data, as well as the characteristics defining big data. We also encourage you to consider the social, ethical and legal implications of handling, storing and using all manner of datasets.

We then focus on the underpinning analytical techniques and tools used to analyse and interpret data, forecast future trends, automate and streamline decisions and optimise courses of action. This includes statistical analysis, data mining, forecasting and regression, optimisation, simulation and spreadsheet modelling. You should also gain a deeper understanding of the value and benefits of different analytical techniques for advanced decision-making and how they can be used to identify patterns, relationships, associations, factors and clusters.

Finally, we consider how to apply analytical methods and techniques to specific business functions, such as an organisation’s marketing function, value chain and financial planning. For example, we will consider how to assess financial performance and economic conditions of a business, identifying relevant costs for short-term and long-term decision-making.