Programme details | |
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Degree: | Master (Master) |
Disciplines: |
Mathematics
Applied Mathematics Financial Mathematics |
Duration: | 24 months |
ECTS points: | 120 |
Study modes: | full-time |
University website: | Mathematics and Modelling: Mathematical Statistics and Financial Mathematics |
Annual tuition (EEA) | tuition-free |
Annual tuition (non-EEA) | ca. 93,500 HKD University currency: 130,000 SEK This applies to citizens of Hong Kong |
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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).
Analysis with Mathematical Physics: Gives you a comprehensive education in mathematics, aimed at mathematical physics. You study courses in complex analysis, distribution theory, and partial differential equations
Algebra with Cryptography and Coding: You study general courses in mathematics and modelling besides courses in algebra, number theory, cryptography and coding theory.
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 modelling.
We also have an agreement with the University of Insubria in Como in Italy, where a corresponding programme is offered. This means that you have a large selection of courses to choose from. You also have the possibility to, without any study fees, study one or two semesters in Como in order to be conferred a so-called double degree i.e., a degree from two different universities, which may be an advantage if you are considering an international career.
Students will find work at companies needing knowledge of advanced mathematical modelling, for example within image processing, noise processing, information security, electric power, vehicle production and construction. The specialization in Mathematical Statistics is especially interesting for banks and insurance companies. The programme also prepares for PhD studies.
Find more information on the website of Linnaeus University: