Programme description
What you can expect to study
- Prepare, analyse and communicate insights from data.
- Apply statistical and machine-learning techniques.
- Use programming and data tools to solve practical problems.

Combines business studies with data analytics for evidence-based decision making. Part of the UK/US dual degree model with a three-year fast-track option. The programme develops statistics, programming, machine learning, data management and evidence-led decision-making. At undergraduate level, the course develops subject knowledge progressively alongside practical, analytical and transferable skills.
Programme description
Career direction
Possible career directions include:
Career outcomes depend on experience, professional registration where applicable and the modules completed. We can help you compare the exact curriculum before you apply.
Entry requirements
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How we help
Course information checked October 2026 from the official course page on richmond.ac.uk. The expanded description is a concise GEC summary based on the course record and subject area; module choices, professional recognition, fees, entry requirements and intakes can change. We confirm the latest details with Richmond American University London before you apply. Global Educational Consultants is an independent consultancy.