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BSc Business and Data Analytics
About this course
Business and data analytics is a degree for the data-driven economy. Modern organisations in every sector generate vast quantities of data, and the ability to extract meaningful insight from that data, to understand what it reveals about customers, operations, markets, and performance, and to use that insight to support better decisions, has become one of the most sought-after capabilities in the graduate job market. This degree combines core business principles with the analytical and technical skills needed to work with data at a professional level. At Richmond, the American International University in London, this four-year programme blends UK and US educational approaches to develop both your understanding of how businesses operate and your competence in data analytics. You will engage with business strategy, marketing, finance, and operations alongside statistical methods, data visualisation, and the analytical tools and platforms used in professional data work. The programme emphasises practical experience, critical thinking, and effective communication, recognising that data skills are only valuable when combined with the ability to interpret findings and communicate them clearly to decision-makers. Internship opportunities and exposure to industry give the degree a strong professional orientation. A foundation year is available for students who need additional preparation, and the programme includes a sandwich year, a year abroad option, and work placements. Graduates of business and data analytics programmes are in strong demand across a very wide range of sectors. Business analyst, data analyst, marketing analyst, operations analyst, financial analyst, and management consultant are all common destinations. The combination of business understanding and analytical capability is particularly valued in organisations that are trying to use their data more effectively, which describes the majority of large employers today. Many graduates also pursue postgraduate study in data science, business analytics, or management, building specialist technical depth on a strong business foundation.
Syllabus & Modules
Typical curriculumStudent Satisfaction
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