Prepare for a career using sophisticated technical financial tools within financial engineering, risk management, and the most highly quantitative roles
Prepare for a quantitative career
Join us to gain both a deep theoretical and conceptual knowledge of finance together with the requisite high level probability, statistics and mathematics to enable you to undertake advanced quantitative modelling. Lab work will give you hands-on experience of using software packages for simulations and time series analysis as well as learning C++ programming to enable you to price sophisticated derivative structures.
WBS benefits from excellent links to key financial institutions and employers and this course has benefited from recommendations following consultation with the Bank of England, Goldman Sachs, Merrill Lynch, and many of our alumni.
Six core modules cover key material in finance, statistics and maths. Every year we offer many elective modules, available through various study routes: delivered here at WBS. Please note that availability and delivery modes may vary.
Modules are taught by staff from WBS, Warwick's Department of Statistics, and the Mathematics Institute through a combination of lectures, classes, and computer lab sessions. A one-week induction module, run by the Mathematics Institute, will ensure you have the mathematical prerequisites for the course. Assessment is a mix of exams and coursework with your dissertation bringing all your learning together at the end.
Lectures & classes
Lectures introduce key theories, concepts, and economic models. In classes you will solve financial problems and numerical exercises, analyse case studies, and make presentations of research published in academic journals.
Lab work will give you hands-on experience of using software to perform finance-related calculations and conduct realistic simulations. Econometric methods are also taught in the lab, so you will learn to apply econometric software to empirical research and financial market estimations.
A 10,000 word dissertation gives you the opportunity to test and apply techniques and theories you have been learning and to complete an original piece of research. You will be supervised and supported by one of our academic staff.
You may be offered the opportunity to to undertake a project for an external organisation. Recent project work has included working for companies including Barclays Global Investors, BP, HSBC, Lloyds TSB, and Nomura.
*All information correct at time of publication. For the most up-to-date course information, please visit our website.
Always verify the dates on the programme website.
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You must have, or be expecting to obtain, an excellent undergraduate degree from a UK university, or the equivalent from an overseas university. You must have a strong mathematical and statistics background so a degree in mathematics, physics, or statistics will be most suitable. Engineering may be acceptable if you have completed a statistics module in your second year or above.
GMAT & GRE
We do not require a GMAT or GRE score but a well-balanced score (700+) may strengthen your application.
English not your first language
If English is not your first language, you must meet a minimum overall standard in a recognised test of English, examples are shown below. You must show a good balance across all sections of the test and it must have been taken within two years of starting the course. We will require your certificates as evidence.
Educated in the English language?
If you are a non-native speaker of English but have been educated entirely in English for your degree, and completed this within the last two years, this may satisfy the University of your language skills.
We do not offer a pre-sessional English class as an alternative to achieving these scores. Any pre-sessional course should be viewed as a way of settling into living and studying in the UK and not as a way of boosting your score.
For up-to-date course tuition fees, please visit our website.Visit Programme Website
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