BSc Economics, Finance and Data Science
About this course
BSc in Economics, Finance and Data Science, a business and management degree centred on economic theory combined with quantitative methods. Core topics include Data Analysis, Statistics, Mathematical Modelling, Financial Analysis, Accounting, and Artificial Intelligence & Machine Learning. Applicants must sit the Test of University Admissions (TMUA) as part of the application process. The first year covers core foundations through Mathematical Foundations Probability & Statistics, Introduction to Data Science, and Microeconomics 1. The second year introduces more advanced concepts with Microeconomics 2, Econometrics 1, Machine Learning, and Corporate Finance and Capital Markets. The final year focuses on independent research through the Final Project: Questions and Methods and Final Project: Report, alongside breadth options from other departments via I-Explore. Students can further tailor their studies in the final year by selecting from a range of electives such as Advanced Machine Learning, Advanced Macroeconomics, and Derivatives and Structured Products.
Written by AI from the university's course page and module list. It can get details wrong, so check the official course page before you rely on it.
Entry requirements
A*AA -- to include: A* in Mathematics; AA in two other subjects (Further Mathematics and/or Economics are useful, but not required) (A-levels), 39 points -- to include: 7 in Mathematics at higher level; 6 in a second subject at higher level; 6 in a third subject at higher level (International Baccalaureate)
Typical offer
A*AA / A*A*A (three A-levels) (A-levels), 39 points (International Baccalaureate)
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What students say
Based on about 60 final-year students who answered
- Teaching on my course: 93%
- Learning opportunities: 94%
- Assessment and feedback: 85%
- Academic support: 92%
- Organisation and management: 89%
- Learning resources: 97%
- Student voice: 95%
Do students stay on the course?
Based on about 70 students who started
- Continued on course: 100%
Where graduates work (5 years on)
Based on about 25 graduates, across similar courses at this university (a small group: a rough guide only)
- North West: 10%
- East Midlands: 5%
- West Midlands: 5%
- East of England: 5%
- London: 60%
- South East: 10%
Who gets in
Based on about 105 students who started
- A levels: 84%
- Baccalaureate: 13%
- Access course: 3%
Accreditation & quality ratings
TEF 2023 (whole university): Gold overall, Silver for student experience, Gold for student outcomes.
Modules
- Autumn, Spring, Summer term
- Autumn term
- Spring term
- Autumn, Spring, Summer term
- Autumn term
- Spring term
- Compulsory modules – Autumn, Spring term
- Electives
Questions about this course
How much do graduates of BSc Economics, Finance and Data Science at Imperial College London earn?
The median salary is £40,000 after 3 years, £53,500 after 5 years. After five years the middle half of graduates earn between £45,000 and £73,500. The £53,500 median after five years is £21,500 more than the UK median for Business studies.
Are students happy with the teaching on BSc Economics, Finance and Data Science at Imperial College London?
93% of final-year students were positive about the teaching in the National Student Survey 2025-26.
What grades do I need for BSc Economics, Finance and Data Science at Imperial College London?
The minimum entry standard is A*AA at A level, or 39 points in the IB. The typical offer is A*AA / A*A*A (three A-levels) at A level. The average entrant had 211 UCAS points.
How many students continue on BSc Economics, Finance and Data Science at Imperial College London?
100% of students continued into their second year, and 0% left higher education.