Actuarial Science and Data Analytics at Queen Mary University of London - UCAS

Course options

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Course summary

The role of a traditional actuary is changing. Organisations require actuarial professionals with the analytical and statistical skills needed to analyse the large sets of data that they are being presented in today’s data-driven world. You should study this programme if you are seeking to pursue or further your actuarial professional qualification, while at the same time future-proofing your skills. Programme Highlights

  • You will be taught by faculty members who are either Fellows and Independent Examiners with the IFoA or faculty members internationally recognised for their research in data science, mathematics, statistics, insurance, and related fields
  • Our actuarial training has a mixture of theory and professional practice
  • You will be taught the skills needed to become highly employable across a wide range of industries
Career Outcomes With this qualification, you can go beyond traditional actuarial roles such as insurance and pensions. You will be able to work across a variety of industries, including health, investment banking and climate risk.


Semester One - Compulsory Modules Actuarial Risk Management 1 Machine Learning with Python Elective Modules (choose two from): Foundations of Mathematics and Statistics Storing, Manipulating and Visualising Data Survival Models Topics in Scientific Computing Semester Two - Compulsory Modules Actuarial Risk Management 2 Time Series for Business Elective Modules (choose two from): Advanced Machine Learning Computational Statistics with R Financial Data Analytics Financial Engineering Mathematical Tools for Asset and Liability Management Neural Networks and Deep Learning Students will also undertake an Actuarial Science and Data Analytics Dissertation.

Assessment method

You will be assessed by a mixture of formal examinations and coursework in your taught modules. You will undertake more self-directed work in completing your final Actuarial Science and Data Analytics Project.

How to apply

International applicants

Please check the course page on the Queen Mary website for information on English Language Requirements and Visas.

Entry requirements

A 2:1 or above at undergraduate level in actuarial science, mathematics, statistics, econometrics, mathematical economics, finance, or engineering. Applicants with unrelated degrees will be considered if there is evidence of equivalent content in their academic or professional background.

Fees and funding

Tuition fees

England £12650 Whole course
Northern Ireland £12650 Whole course
Scotland £12650 Whole course
Wales £12650 Whole course
EU £31850 Whole course
International £31850 Whole course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

No additional fees or cost information has been supplied for this course, please contact the provider directly.

Sponsorship information

To learn more about funding and scholarships, please visit our Funding a Masters webpage at:

Actuarial Science and Data Analytics at Queen Mary University of London - UCAS