Entry requirements

Minimum second-class (2:2) honours degree or overseas equivalent* in Mathematics, Statistics or a closely related discipline with substantial mathematical or statistical content.

Prospective students with relevant experience or appropriate professional qualifications are also welcome to apply.

*For Australia and Canada, normal degrees are accepted.

English language requirements

You must have an English language minimum score of IELTS 6.0 (with no component below 5.5).

We offer comprehensive English language courses for students whose IELTS scores are below 6.0. Please see ELTD for full details.

As a university, we now accept many more English language tests in addition to IELTS for overseas applicants, for example, TOEFL and PTE Cambridge. View the full list of accepted English language tests here.

Months of entry

September

Course content

Our MSc Financial Mathematics & Data Science is an advanced course that offers you the opportunity to develop theoretical and practical skills in financial theory, statistics and data science.

You'll be supported by expert members of staff across three departments to gain the knowledge and skills required to apply quantitative techniques in a financial context. Following completion of this course, you will be able to:

explain key concepts in financial theory and data science
apply key methods in data science to financial contexts (for example, machine learning, numerical methods, stochastic processes)
apply knowledge and problem-solving skills in new or unfamiliar situations, including in multidisciplinary contexts
handle complex situations, and formulate judgements with incomplete or limited information
interpret the output of models and analysis, and explain how these relate to real life
use the R and Python programming packages to carry out analysis
communicate results to specialist and non-specialist audiences, both in written reports and in presentations