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).
The course has been specifically designed to give a structured understanding of business analytics and the practical tools, which can drive business advantage. We’ll teach you 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 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.
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 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.
International experience opportunities
The course naturally has an intercultural and international focus as its staff and students come from a wide range of different nationalities. Team work, discussions and group presentations encourage sharing of ideas and knowledge between students of diverse backgrounds. We also draw on a range of international case studies and examples.
Furthermore, the Centre for Global Engagement (CGE) is Coventry University’s dedicated service that supports students’ international experience. Whether you are interested in studying abroad or would like to gain some work, volunteering or teaching experience in the UK, Europe or beyond, CGE is here to make it a reality.
Today, organisations in almost every sector and across the world are seeking to capitalise on the benefits of data-driven decision-making.
Successful completion of this course should enable you to enter the field of business analytics and consultancy in small, medium or large organisations across the globe. You could enter professions such as management consultants, business analysts, policy analysts, market researchers, operations researchers and data scientists. Alternatively, you could work in public, private and voluntary sectors where such analytical skills would give organisations competitive advantage.
We aim to develop your capabilities in creative problem solving, strategic thinking, effective communication and research, all directly relevant to employers and of great value when seeking future employment.
Coventry University is committed to preparing you for your future career and giving you a competitive edge in the graduate job market. The Faculty’s Careers and Employability team provide a wide range of support services to help you plan and prepare for your career.
Wiza studencka do Wielkiej Brytanii
Aby studiować w Wielkiej Brytanii potrzebujesz wizy studenckiej. Aby złożyć wniosek o taką wizę studencką musisz zdjać certyfikat językowy na poziomie B2.
Uważaj! Do celów wizowych musisz wybrać wyłącznie egzamin w wesji Secure English Language Test (SELT) UKVI .
Co to jest test SELT UK VI registration? Przeczytaj więcej o testach SELT UKVI >>