A challenging high-level mix of disciplines taught by three of the University’s top departments, Mathematics, Statistics and Warwick Business School.
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 in 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 compulsory modules cover key material in finance, statistics and maths. Every year we offer many optional 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 will ensure you have the mathematical and statistical 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. 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, conduct realistic simulations and write code.
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.
The finance programmes are challenging technical courses. To succeed on these courses you will need strong mathematics and statistics or econometrics ability, this could be demonstrated by a high 2.1 or 1st achieved in a relevant subject at Undergraduate level.
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.
Mathematical ability will be tested at the start of the course, but to find out for yourself whether you have gaps in your knowledge try our sample test. This is for self-evaluation, and not part of the application.
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. For further information, please see the University’s page for English language requirements.
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.
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Last updated November 12, 2018