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.
If you have an undergraduate degree in business and good numerical skills, this course should support you in developing quantitative and data mining skills to solve business problems by analysing data and converting that information into useful insights. With a focus on applying theory to practical situations through case studies and projects from industry, this course will also give you opportunities to gain hands-on experience of up-to-date technology including SPSS and NVivo, with access to multiple data resources, including ProQuest and Mintel.
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).
Why Coventry University?
An award-winning university, we are committed to providing our students with the best possible experience. We continue to invest in both our facilities and our innovative approach to education. Our students benefit from industry-relevant teaching, and resources and support designed to help them succeed. These range from our modern library and computing facilities to dedicated careers advice and our impressive Students’ Union activities.
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.
Why choose this course?
In a competitive global market, businesses need skilled analysts who can not only forecast future results, but also test previous decisions and strategies, explaining why certain results occurred. Such skills are prized in the current knowledge economy.
This new course has been specifically designed to provide a real-world context and develop a structured understanding of business analytics. You can learn to apply descriptive and predictive modelling techniques to help organisations improve performance, explore alternatives and understand business data in a rapidly changing world.
It is aimed at students with an undergraduate degree in business and good numerical skills who want to build quantitative and data mining skills to solve business problems by analysing data and converting that information into a strategic asset.
Using case studies and projects from industry, you can work on industry problems and propose tactically viable recommendations based on your analysis.
You will have opportunities to gain hands-on experience of up-to-date technology including SPSS and NVivo, with access to multiple data resources, including ProQuest, Mintel, Science Direct and Emerald. At the same time, you can improve your business understanding and important communication skills.
Coventry Business School has been teaching business for over 50 years, and our teaching staff have significant experience of the business world, including individuals who have worked as directors and consultants for many large multinational companies not only in the United Kingdom but also abroad. This heritage in business education is reflected by the opportunity to study a Chartered Management Institute accredited module during your studies, allowing you to develop your leadership skills alongside deepening your understanding of data analysis and business decision making.
Your teaching will be research-informed by staff with research interests in the areas of international business and management, global supply chain and logistics, business process integration, internationalisation of SMEs, change management and many more. Please note that staff may be subject to change.