24 months
Duration
15434 EUR/year
Free
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

This Mathematics and Modelling - Mathematical Statistics and Financial Mathematics programme at Linnaeus University 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.

Visit the official programme website for more information

Overview

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.

Career

Students on the Mathematics and Modelling - Mathematical Statistics and Financial Mathematics programme at Linnaeus University 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.

Programme Structure

Courses include:

  • Analytic Functions
  • Algebraic Structures
  • Functional Analysis 
  • Foundations of Probability 
  • Mathematical Cryptography
  • Dynamical Systems
  • Mathematical Modelling

Key information

Duration

  • Full-time
    • 24 months

Start dates & application deadlines

Language

English

Credits

120 alternative credits

Delivered

On Campus

Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

TOEFL admission requirements TOEFL® IBT The TOEFL iBT® is given online through the internet at designated testing site. The test measures your English-language abilities in an academic setting. The score refers to the total score of 4 subjects (writing, listening, speaking, and reading), each subject has a range of 0 - 30.
90
IELTS admission requirements IELTS The International English Language Test System (IELTS) tests your English-language proficiency on a scale of 1 – 9. The score refers to the combined average score of 4 subjects (writing, listening, speaking, and reading).
6.5

Other requirements

General requirements

  • To meet the entry requirements for master's level (second cycle or graduate) studies, you must have been awarded a Bachelor's degree (equivalent to a Swedish kandidatexamen) from an internationally recognised university.
  • Bachelor Degree in Mathematics, Physics, Electronics, Computer Science, Economics or the equivalent, including 60 credits in Mathematics.
  • English B/6 or the equivalent.

Tuition Fee

  • International

    15434 EUR/year
    Tuition Fee
    Based on the original amount of 30868 EUR for the full programme and a duration of 24 months.
  • EU/EEA

    Free
    Tuition Fee
    Based on the original amount of 0 EUR for the full programme and a duration of 24 months.
  • Tuition fee, first payment: 77,500 SEK
  • Tuition fee, total: 310,000 SEK

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Fresh content

Updated in the last 3 months

Check the official programme website for potential updates.

Mathematics and Modelling - Mathematical Statistics and Financial Mathematics
-
Linnaeus University

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