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
Modules
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 |
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: qmul.ac.uk/postgraduate/taught/funding_masters
Provider information
Queen Mary University of London
Admissions and Recruitment Office
Mile End Road
Tower Hamlets
London
E1 4NS