Overview

This course responds to the current growing demand and significant shortage of highly-trained analysts capable of interpreting data to find new patterns and relationships, informing business decisions accordingly so as to drive growth and successful business performance. You will have the opportunity to learn to generate value from large data sets, or Big Data, which cannot be analysed using traditional techniques.

Coventry Business School was rated ‘excellent’ by Eduniversal in 2019, a ranking of business schools in over 150 countries, and the course also allows you the opportunity to study a module accredited by the Chartered Management Institute, which could develop your leadership skills. Additionally, our impressive global network is vast and varied. Through guest speakers, industry visits, case studies and internship opportunities, we aim to use these links to share real-world business experiences and bring you up-to-speed with the issues and challenges facing modern businesses (opportunities are subject to availability, meeting applicable visa requirements, and fees may apply).

Course information

The course has been specifically designed to give a structured understanding of business analytics and the practical tools which can drive business advantage. You’ll have the opportunity to learn how to analyse business data and solve business problems analytically.

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 should include 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.