About this course
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.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. 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.
Throughout this course, you should learn to:
Why you should study this course
For more information please visit the website
Career Prospects
Graduates from this course typically go into the following occupations:
2134 Programmers and software development professionals
2431 Management consultants and business analysts
2133 IT business analysts, architects and systems designers
2434 Business and related research professionals
2433 Actuaries, economists and statisticians
2422 Finance and investment analysts and advisers
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Course Details
- Qualification
- MSc
- Study Mode
- Full-time
- Duration
- 1 Year
- Start Date
- 2025
- Academic Year
- 2025
- Campus / Location
- Coventry
- Scheme
- Postgraduate
- Subjects
- Mathematics and statistics