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4-year route: A-levels CCC/96 UCAS points or equivalent; 3-year fast-track route: BBC profile
Check my qualifications →Richmond American University London · London
BSc (Hons) Business and Data Analytics
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.
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Use these as an early planning guide. We will confirm the exact university rules for your qualification and intake before you apply.
IELTS or an alternative
6.0 overall, 5.5 in each component
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Scholarship or tuition-discount information is recorded for this university; eligibility may depend on course and intake.
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Scholarship information
Potential funding at Richmond American University London
International undergraduates can receive a £2,500-per-year fee reduction (e.g. Sri Lankan A-levels ABB, or IELTS 6.0 in all elements); international postgraduates can receive 10–15% fee reductions based on GPA (3.3/3.7 or equivalent) or early deposit.
Eligibility, value, availability and deadlines are decided by the university. Confirm the award for this exact course and intake before relying on it.Programme overview
A clearer look at BSc (Hons) Business and Data Analytics
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.
This 48-month undergraduate route concentrates on data preparation, exploration and visualisation, statistical modelling and machine-learning methods, turning complex evidence into useful decisions. The course record does not promise a placement, so students should judge it primarily by its curriculum, teaching approach and project opportunities.
Course focus
What you can expect to explore
- Data preparation, exploration and visualisation
- Statistical modelling and machine-learning methods
- Turning complex evidence into useful decisions
- Prepare, analyse and communicate insights from data.
Skills development
Capabilities you can build
- Python or analytical programming
- Statistical reasoning
- Data visualisation
- Model evaluation and communication
The balance of technical, academic and professional skills depends on the modules and assessments offered for your intake.
Learning experience
How you may learn
- Applied work such as case studies, workshops, projects or problem-based tasks.
- Independent study and progressively more complex assignments or projects.
- Assessment may combine coursework, reports, presentations, examinations or projects; the exact balance is set by the university.
Who is this course for?
A strong fit for students who enjoy combining programming, statistics and problem-solving to extract meaning from complex data. Entry requirements still determine eligibility, and students should compare the official module list with their own career goals before applying.
Career direction
Where it may lead
Relevant career directions may include:
- Data scientist
- Data analyst
- Business intelligence analyst
- Machine-learning or analytics specialist
These are examples, not guaranteed outcomes. Employment depends on your experience, location, professional registration where applicable and the modules completed.
Course contents
Published course content for this programme.
34 curriculum items were captured from the university’s official course page. These may include modules, course units or published curriculum topics, and can change by intake, pathway and availability.
- 01Fundamentals of English for Academic Writing and OracyModule LANG3100
- 02Tools for ChangeModule LIBA3101
- 03Fundamentals of Research and WritingModule LIBA3102
- 04Fundamentals of BusinessModule BUSM3101
- 05Fundamentals of Mathematics and StatisticsModule MATH3102
- 06London CulturesModule HIST3101
- 07Fundamentals of Visual ThinkingModule ARTS3101
- 08Fundamentals of ComputingModule COMP3101
- 09Introduction to Business Management and MarketingModule BUSM4101
- 10Managerial AccountingModule ACCT4101
- 11Probability and StatisticsModule MATH4101
- 12Academic Research and WritingModule LIBA4301
- 13Organisational Behaviour and EthicsModule BUSM5105
- 14International Trade and InvestmentModule BUSM5103
- 15Linear Algebra and Multivariable CalculusModule MATH5104
- 16Data Analysis and VisualisationModule DATA5102
- 17Service Learning: Sustainability and SocietyModule LIBA5303
- 18Service Learning: Leadership in a Globalised WorldModule LIBA5302
- 19Service Learning: Global Citizenship and MigrationModule LIBA5301
- 20Research Methods and Skills for Business and EnterpriseModule BUSM5301
- 21Service Learning: Digital CollaborationModule LIBA5304
- 22Machine Learning and Predictive AnalyticsModule MATH6102
- 23Leadership and People ManagementModule BUSM6104
- 24Project Management Skills and MethodsModule BUSM6102
- 25Senior ProjectModule BUSM6110
- 26Business InternshipModule BUSM6401
- 27Business CreativityModule ENTR6101
- 28Digital Marketing and Social MediaModule MARK6101
- 29Fashion and Luxury Brand ManagementModule FASH6102
- 30Ethical and Sustainable FashionModule FASH6101
- 31Creative Marketing StrategiesModule MARK6103
- 32Integrated Marketing CommunicationsModule MARK6102
- 33Sustainable Strategic ManagementModule BUSM6103
- 34Entrepreneurship Skills and MethodsModule ENTR6102
Entry requirements
Can I apply?
- Academic
- 4-year route: A-levels CCC/96 UCAS points or equivalent; 3-year fast-track route: BBC profile
- Sri Lankan qualifications
- We’ll check your qualifications against this course for you.
- English (IELTS)
- 6.0 overall, 5.5 in each component
Not sure you qualify? Send us your results — we’ll tell you honestly, free.
How we help
Support, clearly agreed.
- We check your eligibility and documents.
- We prepare and submit your application to Richmond American University London.
- We help you meet any offer conditions and get your CAS.
- We guide your Student visa application.
Your initial consultation is free. Any paid professional support begins only after you receive and accept a written service summary explaining the work, fee and terms.
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Course information checked October 2026 from the official course page on richmond.ac.uk. The expanded description is original GEC guidance built from the recorded course summary, award level and subject; it does not reproduce a university or partner listing word for word. Exact modules, teaching, assessment, 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.