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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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Gain an understanding of advanced mathematics, concentrating on pure, applied and numerical mathematics. This grounding allows you to choose the mathematical orientation that best fits your tastes and aspirations. Read more
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
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
An MPhil/PhD is an advanced postgraduate research degree that requires original research and the submission of a substantial dissertation of 60,000 to 100,000 words. 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
Learn to apply a wide range of mathematical and statistical techniques to model the behaviour of the financial markets. This programme is designed to equip students with the skills needed for a successful career in the more quantitative areas of banking and financial markets, or in financial mathematics research. Read more
This MSc programme is run by Heriot-Watt University jointly with The University of Edinburgh. Upon graduation, you will receive a degree certificate bearing crests of both universities. Read more
This is one of the few dedicated Applied Mathematics MSc programmes in the UK. For over 40 years Heriot-Watt has been exceptionally strong in Applied Mathematics and we have world-leading researchers in many related areas and very good links with industry. Read more
Our MSc Financial Mathematics covers the advanced mathematics that’s revolutionised finance since the early 1970's. If you’re passionate about mathematics and keen to build a career in finance, it could be the ideal choice. Read more