Coventry University · Full-time
Business Analytics
Our Business Analytics MSc course aims to teach you to interpret data, uncover new patterns and relationships, make predictions, and drive informed, smart business decisions. Throughout this course, you should learn to: - develop qualitative, quantitative and…
MSc1 yearFull-time
Browse business and management courses in UK
School of Management · Business and management
Our Business Analytics MSc course aims to teach you to interpret data, uncover new patterns and relationships, make predictions, and drive informed, smart business decisions. Throughout this course, you should learn to: - develop qualitative, quantitative and data mining skills to solve business problems, as well as data visualisation skills using appropriate software and programming language. - learn to generate value from big data - apply theory to practical situations through case studies and projects from industry. Why you should study this course - Develop your mindset: nurture and strengthen your strategic thinking, communication and research capabilities to become an effective data analyst. - Develop specialised, practical skills in data analytics: this course integrates core management skills and knowledge, which are then developed, refined and made more specialised for working in the data analytics sector. - Applied, real-world teaching: a key part of the teaching approach is accessing multiple data resources, which need to be analysed and communicated to managers, to help inform evidence-based management decision-making. - Industry-approved software utilisation: the course uses industry-standard software to apply analytical techniques, such as Tableau, SPSS, Google Analytics and NVivo. - External project consultancy opportunities: there will be opportunities to engage with external consultancy projects with a real client or undertake an individual academic research dissertation. For more information please visit the website
Getting in
As the university states it
A second class honours (minimum 2:2 or higher) in either; business, finance, economics, management science, logistics, engineering, computing or mathematics. Applicants from other degrees may be considered on a case-by-case basis provided they can show strong quantitative ability. Applications from candidates who can demonstrate considerable experience at an appropriate professional level but who do not have formal academic entry qualifications may also be admitted on an individual basis
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Course details as published by the university. No graduate-outcome statistics are published for UK postgraduate courses, so none are shown.