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Mathematics×

Masters Degrees in Stochastic Processes

We have 53 Masters Degrees in Stochastic Processes

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.

Why study a Masters in Stochastic Processes?

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The MRes in Stochastic Processes. Theory and Application is delivered through optional modules for the taught element followed by a large research project that contributes to the field in an explicit way, rather than merely applying existing knowledge. Read more
The MSc Mathematics and Computing for Finance course has been designed to meet the growing demand for specially trained mathematicians to work in the world’s financial markets and insurance. Read more
About the MSc programme. 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
As an MSc by Research in Mathematics student you will be guided by internationally leading researchers and will carry out a large individual research project. Read more
Do you have an aptitude and passion for mathematics and statistics, a keen interest in finance and insurance and want to work for a major financial organisation in finance, insurance or the money market? This course will provide you with a deep understanding of the world of finance,and give you the ability to speak its 'language'. Read more
Who is it for?. To successfully complete this course, you must have a very good understanding of mathematics. You may well have studied maths, physics or engineering degrees as an undergraduate. Read more
The University of Dundee has a long history of mathematical biology, going back to Professor Sir D'Arcy Wentworth Thompson, Chair of Natural History, 1884-1917. Read more
Overview. Scientific computing is a new and growing discipline in its own right. It is concerned with harnessing the power of modern computers to carry out calculations relevant to science and engineering. Read more
The Master in Actuarial Science at ISEG - Lisbon School of Economics and Management, was designed according to the international requirements for the actuarial profession. Read more
About the course. This intensive introduction to advanced pure and applied mathematics draws on our strengths in algebra, geometry, topology, number theory, fluid dynamics and solar physics. Read more
The financial services industry place great emphasis on raising the level of mathematics used in banks in applications to pricing, hedging and risk management. 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
High-level training in statistics and the modelling of random processes for applications in science, business or health care. Read more
Learn how to combine advanced mathematical modelling approaches with powerful computational solution techniques. Gain a highly regarded postgraduate qualification that meets the needs of today’s working environments across many industries. 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. Read more

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