Master's Degree in Statistics in Växjö in Sweden

See Masters Programs in Statistics 2019 in Växjö in Sweden

Statistics

A masters is awarded to students who have completed postgraduate level study in a specific field of study or area of professional practice while demonstrating a high level of mastery during the process.

The MSc in Statistics allows students to learn about the statistics applicable to the social sciences, econometrics and finance. The program prepares students for careers in industries that demand statistical skills.

"Växjö has over 60,000 residents. The city is situatate in Kronoberg County, Sweden. The city has several industrial companies and is home to the Linnaeus University. "

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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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