Application deadline: None
Tuition fee:
  • € 23,186 / Year (EEA)
  • € 23,186 / Year (Non-EEA)
Start date: September  2015
Credits (ECTS): 90 ECTS
Duration full-time: 10 months
Languages:
  • English
Location:
Disciplines:
Delivery mode: On Campus
Educational variant: Part-time, Full-time

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Description

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This programme is based in the Department of Statistics. It provides high level training in probability theory and statistics for random processes with applications in the areas of insurance and finance and their interface. It includes a comprehensive and unified approach to all quantitative aspects of modern actuarial science. Students receive rigorous training in mathematics and scientific computation and are introduced to a range of schemes for risk transfer, sufficiently broad to equip them for highly specialised work in insurance, pensions, investment, and banking and for independent research in these areas.

Benefits of the programme include:

* Studying in a department with an international reputation for teaching and research in modern actuarial science and mathematical finance.
* The opportunity to study related subjects taught by other departments in the School.
* Excellent prospects for employment and further study. Students can gain employment in the finance or insurance industries. They can also go on to do a higher degree.
* The opportunity to live in one of the great financial capitals of the world.
* Joining a department with good relations with the financial services industry, particularly insurance and professional bodies.

Contents

Compulsory courses

(* half unit)

* Stochastic Processes*
* Insurance Mathematics
* Stochastic Finance
* Computational Methods in Finance and Insurance*

Options

Choose two from:

* Derivatives*
* Quantitative Methods for Finance and Risk Analysis*
* Continuous Time Optimisation*
* Probability and Measure*
* The Mathematics of the Black and Scholes Theory*
* The Foundations of Interest Rate, Foreign Exchange, and Credit Risk Theory*
* Time Series*
* Advanced Probability Theory*

Requirements

Minimum entry requirement: 2:1 in actuarial science, statistics, mathematical economics or mathematics.

The programme is mathematically advanced and suitable candidates will normally hold a good BSc degree in actuarial science, statistics, mathematical economics or mathematics. This should include training in analysis and linear algebra, with rigorous proofs, and probability theory at the level of our third year undergraduate course Stochastic Processes.

English requirement:

* TOEFL (Test of English as a Foreign Language) with a minimum score of 603 in the paper test or 100 in the internet based test. For full information on TOEFL and testing centres worldwide, please see * IELTS (International English Language Testing System) with a minimum score of 6.5. For full details about the British Council's English tests, please see

English Language Requirements

IELTS band: 6.5
CAE score: (read more)

Cambridge English: Advanced (CAE) is part of the Cambridge English suite and is targeted at a high level (IELTS 6.5-8.0). It is an international English language exam set at the right level for academic and professional success. Developed by Cambridge English Language Assessment - part of the University of Cambridge - it helps you stand out from the crowd as a high achiever.

200 (Grade A)
TOEFL paper-based test score : 603
TOEFL iBT® test: 100

IMPORTANT NOTE: Since April 2014 the ETS tests (including TOEFL and TOEIC) are no longer accepted for Tier 4 visa applications to the United Kingdom. The university might still accept these tests to admit you to the university, but if you require a Tier 4 visa to enter the UK and begin your degree programme, these tests will not be sufficient to obtain your Visa.

The IELTS test is most widely accepted by universities and is also accepted for Tier 4 visas to the UK- learn more.

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