Economics, Finance and Data Science at Imperial College London

Imperial verifies the Test of Mathematics for University Admission (TMUA) as mandatory for this course in 2027 entry.

TMUA is run by UAT-UK and delivered through Pearson VUE test centres. The required papers are Paper 1: Applications of Mathematical Knowledge and Paper 2: Mathematical Reasoning.

The test window is 12–16 October 2026 or 4–8 January 2027, with China, Hong Kong and Macau dates listed as 15–16 October 2026 and 8 January 2027. Account creation opens on 1 June 2026 at 15:00 BST, October booking opens on 20 July 2026 at 15:00 BST, and January booking opens on 26 October 2026 at 15:00 GMT.

October registration closes on 28 September 2026 at 18:00 BST, and January registration closes on 21 December 2026 at 18:00 GMT. Results are released on 16 November 2026 for the October sitting and 8 February 2027 for the January sitting.

For international applicants, TMUA gives Imperial a common mathematics measure across school systems. Treat it as a core part of preparation, not as an administrative extra.

Imperial does not identify a separate written-work submission or additional course-specific personal statement for this course; the UCAS personal statement carries the subject-fit argument. That statement therefore needs to explain economics, finance and data science as one coherent choice, not as three unrelated interests.

Avoid a generic “I like business and technology” structure. A stronger statement shows one economic question, one quantitative method and one financial or policy application, then explains what you learned from connecting them.

It helps to write about process rather than achievement alone. For example, explain how you tested an assumption, changed a model, handled messy data or found a limitation in a neat economic story.

A practical structure is to ask the same question in three ways: what is the economic mechanism, what data would test it, and what financial or policy decision would change if the answer were different?

This section should therefore not publish named resources as if they were official admissions facts.

Build subject knowledge through a small number of well-documented activities. Keep a record of the question, method, source of data, limitation and conclusion for each piece of work.

For this course, the strongest preparation links economics, finance and mathematics. A useful habit is to keep asking how a real economic question would become a measurable data question, and how the answer would affect a financial, business or policy decision.

It also verifies that offer conditions are determined after interview.

Contextual information should not be treated as a shortcut. Use it to explain school context, disruption or subject availability clearly, while keeping the academic case focused on Mathematics, TMUA and subject fit.