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Masters degrees in Stochastic Processes focus on systems and processes involving random variables.
Related subjects include Financial Mathematics, Scientific Computation and Applied Stochastics. Entry requirements typically include an appropriate undergraduate degree in a relevant mathematical discipline.
Stochastics can be used to efficiently describe the randomness in all systems present in the natural and social world. As such, stochastic processes can help explain data collected about these systems, an ability that is useful across several industries.
For example, you might specialise in statistical mechanics, applying probability theory to study the behaviour of a mechanical system when its functional state is uncertain. This expertise can be applied to industries such as aerospace engineering and automotive design, as well as manufacturing.
Alternatively, you may work within financial markets such as insurance, investments and banking, analysing the stock exchange, predicting potential losses and optimising profits. Similarly, you may be involved in operational research for a variety of organisations, modelling budgets and other activities.
If a career in academia is of interest to you, your Masters would provide ideal groundwork for further study at PhD Level.
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The MRes in Stochastic Processes is delivered through optional modules for the taught course, followed by a substantial research project that explicitly contributes to the field, rather than applies existing knowledge. Read more
The programme draws on LSE's strengths in finance and related areas to provide high-level instruction in the mathematical theory underlying finance, and training in appropriate computational methods. Read more
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COVID-19 ISEG Lisbon is taking all measures with health and safety of our community as a top priority. Since March we're operating 100% online, engaging virtually and using online tools for learning and evaluation. Read more
Our MPhil/PhD degree in Mathematics and Statistics aims to train you to conduct research of a high academic standard and to make original contributions to the subject. Read more
This study programme aims at preparing professionals who are able to deal with complex design and managing problems by using advanced mathematical tools, yet with an engineering attitude. Read more
The financial sector is increasingly using sophisticated mathematical models to predict the development of markets and risks related to the services and products it provides. Banks, building societies, accountancy, insurance, investment and pension companies demand graduates with strong quantitative skills. Read more
Sussex has a prestigious international reputation and is ranked amongst the top 20 universities in the UK, with both departments ranked amongst the top 15 (Guardian University Guide 2018).