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.

Months of entry

September

Course content

Introduction

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

Scholarships information:

Visit our scholarships database to see what scholarships are available for this programme: https://www.qmul.ac.uk/scholarships/database/

Information for international students

English language requirements

If you got your degree in an English speaking country or if it was taught in English, and you studied within the last five years, you might not need an English language qualification - find out more.

Visas and immigration

Find out how to apply for a student visa.

Fees and funding

There are a number of ways you can fund your postgraduate degree.

Our Advice and Counselling service offers specialist support on financial issues, which you can access as soon as you apply for a place at Queen Mary. Before you apply, you can access our funding guides and advice on managing your money:

Qualification, course duration and attendance options

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification
    part time
    24 months
    • Campus-based learningis available for this qualification

Assessment

AssessmentWhat kind of work will I be doing? (proportionally)
Written/ formal examinations67
Dissertation33

Course contact details

Name
Kieran Hayde
Email
maths@qmul.ac.uk