Masters in Financial Mathematics in Sweden

Search Masters Programs in Financial Mathematics in Sweden 2019

Financial Mathematics

Mathematics is a method of applying logical and quantitative analysis to natural and manmade phenomena. Programs in financial mathematics aim to prepare students in the use of these investigative and predictive tools to analyze business trends.

Sweden, officially the Kingdom of Sweden, is a Scandinavian country in Northern Europe. Sweden borders Norway and Finland, and is connected to Denmark by a bridge-tunnel across the ├śresund. Sweden is a developed post-industrial society with an advanced welfare state. The standard of living and life expectancy rank among the highest in the world.

Top Master Programs in Financial Mathematics in Sweden 2019

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Master in Mathematics and Modelling. Specialisation: Mathematical Statistics and Financial Mathematics

Linnaeus University
Campus Full time 2 years September 2019 Sweden Teleborg

This programme will suit anyone who is interested in mathematics and wants to apply his or her skills to problem-solving and for creating new mathematical models. It also gives you the possibility to start an academic career. In Mathematical Statistics and Financial Mathematics, you study courses in mathematics but you also train stochastic thinking and statistic skills. It contains courses in e.g. probability theory, stochastic analysis, insurance mathematics and financial modeling. [+]

The technology we use in today's society is to an ever-increasing extent based on mathematical models and calculations.

This programme will suit anyone who is interested in mathematics and wants to apply his or her skills to problem-solving and for creating new mathematical models. It also gives you the possibility to start an academic career.

There are three specializations (all end with a master thesis work).

Mathematical Statistics and Financial Mathematics: You study courses in mathematics but you also train stochastic thinking and statistic skills. It contains courses in e.g. probability theory, stochastic analysis, insurance mathematics and financial modeling.

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