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MSc - Master of Science
Financial Modelling Applied Statistics
Taught
COURSE OVERVIEW
While practically orientated, this MSc Applied Statistics and Financial Modelling proceeds from a strong theoretical background so as to develop your ability to tackle new and non-standard problems with confidence. The mutual dependence of practice and theory is emphasised wherever possible.
This Master's in financial modelling is ideal if you are considering a career move into statistics, or if your work already involves aspects of data collection and exploration, the interpretation of statistics, or the use of advanced stochastic modelling techniques in the area of quantitative finance. It covers both theory and application of stochastic and statistical modelling techniques required to solve applied problems in industry, the public services, scientific research and commerce.
The course has been specially designed to meet the personal and career development needs of people who want to continue working while also studying in the evening. Many of our students are involved in data analysis, the interpretation of statistics, the optimal design and control of systems, and the modelling and prediction of time-dependent phenomena. They bring a wealth of knowledge and experience into the classroom, and you’ll find yourself surrounded by committed, enthusiastic students from all backgrounds, careers and cultures.
Contact University and ask about this fee
Contact University and ask about this fee
A second-class honours degree (2:2) or above, with mathematics or statistics as a main subject.
Birkbeck, University of London is a university which continues to change lives. In 2023 the institution marks its 200th anniversary. Established in 1823, Birkbeck is a world-class research and teaching institution, well known for being London’s premier evening university. Most classes take place in the evening, and this makes Birkbeck stand out from the crowd. Students have the freedom to use their daytimes however they like – a benefit that has...more