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| Application Deadline: | January 15 | ||
| Annual Tuition Fee: | Free - ≈ € 14,000 (non-EEA) | ||
| Location: | Växjö / Sweden / View location on map ▾ Hide location on map ▴ | ||
| Duration: | 24 months | Start Date: | September |
| Educational Form: |
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| Education Variants: |
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| Credits (ECTS): | 120 | ||
| Languages: | English | ||
Location of Linnaeus University Växjö Campus
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).
Mathematics: Gives you a comprehensive education in mathematics. It contains courses in i.a. algebra, complex analysis, topology, integration theory, probability theory and functional analysis.
Mathematical Physics: Besides a broad education in mathematics and modelling, you study courses in mathematical physics, e.g. acoustics and electromagnetic waves.
Mathematical Statistics and Finacial Mathematics: You study courses in mathematics but you also train stochastic thinking and statistic skills. It contains courses in i.a. probability theory, stochastic analysis, insurance mathematics and finacial modelling.
Contents
Programme Courses
* Courses in the Main field of study: Mathematics
Mathematics Specialization:
Year 1:
* Analytic Functions (7.5 higher education credits, A1N,*)
* Transform Theory (7.5 higher education credits, A1N,*)
* Foundations of Probability (7.5 higher education credits, A1N,*)
* Functional analysis (7.5 higher education credits, A1N,*)
* Integration theory (7.5 higher education credits, A1N,*)
* Elective courses (22.5 higher education credits)
Year 2:
* Topology (7.5 higher education credits, A1N,*)
* Distribution theory (7.5 higher education credits, A1N,*)
* Research methodology (7.5 higher education credits, A1N,*)
* Elective course (7.5 higher education credits)
* Degree Project (30 higher education credits, A2E,*)
Mathematical Physics Specialization:
Year 1:
* Analytic Functions (7.5 higher education credits, A1N,*)
* Transform Theory (7.5 higher education credits, A1N,*)
* Mathematical Physics (7.5 higher education credits, A1N,*)
* Functional analysis (7.5 higher education credits, A1N,*)
* Integration theory (7.5 higher education credits, A1N,*)
* Elective courses (22.5 higher education credits)
Mathematical Physics Specialization:
Year 1:
* Analytic Functions (7.5 higher education credits, A1N,*)
* Transform Theory (7.5 higher education credits, A1N,*)
* Mathematical Physics (7.5 higher education credits, A1N,*)
* Functional analysis (7.5 higher education credits, A1N,*)
* Integration theory (7.5 higher education credits, A1N,*)
* Elective courses (22.5 higher education credits)
Year 2:
* Integral equations (7.5 higher education credits, A1N,*)
* Distribution theory (7.5 higher education credits, A1N,*)
* Research methodology (7.5 higher education credits, A1N,*)
* Elective course (7.5 higher education credits)
* Degree Project (30 higher education credits, A2E,*)
Mathematical Statistics and Financial Mathematics:
Year 1:
* Insurance Mathematics (7.5 higher education credits, A1N*)
* Transform Theory (7.5 higher education credits, A1N,*)
* Foundations of Probability (7.5 higher education credits, A1N,*)
* Functional analysis (7.5 higher education credits, A1N,*)
* Integration theory (7.5 higher education credits, A1N,*)
* Elective courses (22.5 higher education credits)
Year 2:
* Stochastic analysis (7.5 higher education credits, A1N,*)
* Financial modelling (7.5 higher education credits, A1N,*)
* Research methodology (7.5 higher education credits, A1N,*)
* Elective course (7.5 higher education credits)
* Degree Project (30 higher education credits, A2E,*)
The elective courses are chosen in consultation with the programme director. At most 30 higher education credits of elective courses can be studied at first level. There are among other subjects courses in algebra, number theory, data encryption, analytic functions approximation theory, distributions theory, dynamic optimization, dynamic systems, financial modelling, mathematics for the insurance sector, harmonic analysis with applications, mathematical foundations of quantum mechanics and quantum information, interference theory, macro economics, multivariate calculus, measurement and integration theory, numerical methods with financial applications, game theory, time series, applied statistics, topology and mathematical economics.
IELTS
You are normally required to take an English Proficiency Test.
Most European Universities recognise the IELTS test.
Take testRequirements
Basic eligibility for second level studies as well as special eligibility:
* A Degree of Bachelor in Mathematics, Physics, Electronics or Economics, including 45 Higher Education Credits in courses covering multivariable analysis and Mathematical Statistics together with a good command of English. For students choosing the Mathematics field of study, 60 Higher Education Credits in Mathematics is required.
* English B or the equivalent.
IELTS
* an overall mark of 6.5 and no section below 5.5
TOEFL
Paper-based
* For B: Score of 4.5 (scale 1-6) in written test and a total score of 575
Internet-based
* For B: Score of 20 (scale 0-30) in written test and a total score of 90
University of Cambridge ESOL Examinations
(Cambridge ESOL)
Cambridge English: First (First Certificate in English) grade A, B or C Course A Cambridge English: Advanced (Advanced certificate in English)
Course B Cambridge English: Proficiency (Certificate of Proficiency in English)
Course B
Additional Requirements
| Minimal degree required: | Bachelor's degree |
| Minimal amount of work experience | Not specified |
Language Proficiency
| IELTS Band: | 6.5 |
| TOEFL Paper-based: | 575 |
| TOEFL Internet-based: | 90 |
Ask a Question
You can contact Marcus Nilsson to ask a question about Mathematics and Modelling at Linnaeus University Växjö Campus.
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