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.
The exciting new course has been specifically designed to provide a real-world context and develop a structured understanding of big data and business analytics. You can learn to apply descriptive, predictive and prescriptive modelling techniques to help organisations improve performance, explore alternatives and anticipate business outcomes in a volatile, fast-paced 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 will 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 has been educating business professionals for over 100 years. Our teaching staff have significant experience of the business world, and have worked as directors and consultants for many large multinational companies not only in the United Kingdom but also abroad.
Your teaching will be research-informed by staff with an international reputation for research in the areas of international business and management, global supply chain and logistics, business process integration, internationalisation of SMEs, change management and many more. In the most recent national research assessment exercise, the 2014 Research Excellence Framework (REF), 85% of the School’s ‘Business and Management’ research was recognised internationally, of which 13% received the highest ‘world-leading’ classification.