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Applied Mathematics – (B.Sc.)
Linnaeus University Växjö Campus
Masters Programmes in English| Application Deadline: | January 15 | ||
| Annual Tuition Fee: | Free ≈ € 8,400 (non-EEA) | ||
| Location: | Växjö / Sweden / View location on map ▾ Hide location on map ▴ | ||
| Duration: | 36 months | Start Date: | August |
| Educational Form: |
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| Education Variants: |
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| Credits (ECTS): | 180 | ||
| Languages: | English | ||
Location of Linnaeus University Växjö Campus
This programme gives solid knowledge of mathematics and of using mathematics as a tool within areas such as computer science, technology and economics.
The programme has three specializations: Computer Science, Technology, and Economics and Stochastics. It contains courses in mathematics to a large extent, but to each specialization an applied subject is linked where mathematics is an important tool. These applications are within computer science, physics/technology and economy, respectively. The computer science specialization can be read completely in English or partly in Swedish.
Initially, you study fundamental mathematics in the form of algebra, vector geometry, analysis and modelling. During the second and third years, the mathematics is more dedicated to fit the specialization. The courses in the applied subjects are spread throughout most of the programme. You can also choose a number of courses yourself in consultation with the programme co-ordinator, primarily during the last year. The education ends with a degree project.
Your future
There are many possible assignments. Within computer science: IT, graphics, cryptology. Technology: engineering problems within manufacturing industry. Economics and stochastics: insurance and investment companies and banks for statistical/insurance premium analysis; pharmaceutical industry/health care for medical statistical planning.
Degree
Bachelor of Science, main field mathematics, specialization computer science/technology/economics and stochastics. An exam at Bachelor level meets the general entry requirements for programmes at advanced level.
Contents
The programme is administered by the School of Computer Science, Physics and
Mathematics. The main subject area is Mathematics. A programme director is
appointed with overall responsibility for the programme in consultation with the students.
Programme Overwiew
The degree programme consists of 180 higher education credits and includes a final
Bachelor’s degree project dissertation consisting of 15 higher education credits .
The programme consists of three specialisms:
* Computer Science
* Engineering and Technology
* Economics and Stochastics
The programme consists to a large part of Mathematics courses. An applied subject is linked to each specialism. The applications for the different specialisms are in Computer Science, Physics/ Engineering /Technology and Economics, respectively. The Mathematics courses in the various specialisms are chosen (in particular from among the intermediate and the specialized courses) so that the applied subjects are related. In the Economics and Stochastics specialism Mathematics courses are emphasized which stress stochastics.
During the first year the major studies are the basic principles of Mathematics in the
form of algebra, vector geometry, analysis and modelling. During the 2nd and 3rd year studies in mathematics are more specialised to tie in with the applied subject. Courses in the applied subject occur with one or two exceptions during all three years of the programme. Students also have the opportunity to choose from among a number of courses in consultation with the programme director. The most extensive range of optional courses is in the last year.
During the programme, the progression of the students is followed up both concerning the individual courses and the whole programme, and the progression is evaluated against the aims for the learning outcomes.
Programme courses
Specialism Computer Science:
Year 1 (Autumn term)
* Basic Mathematics, 7.5 higher education credits (G1N) *
* Mathematical modelling 1, 7.5 higher education credits (G1N) *
* Vector geometry, 7.5 higher education credits (G1F) *
* Programming, 7.5 higher education credits (G1N)
Year 1 (Spring term)
* Calculus 1, 7.5 higher education credits (G1N) *
* Calculus 2, 7.5 higher education credits (G1F) *
* Programming and data structures, 7.5 higher education credits (G1N)
* Discrete Mathematics, 7.5 higher education credits (G1F) *
Year 2 (Autumn term)
* Probability theory and statistics, 7.5 higher education credits (G1F) *
* Computer graphics, 7.5 higher education credits (G1F)
* Numerical methods, 7.5 higher education credits (G1F)
* Optional course in Computer Science or Mathematics, 7.5 higher education credits
Year 2 (Spring term)
* Analysis of several variables, 7.5 higher education credits (G1F) *
* Linear algebra, 7.5 higher education credits (G1F) *
* Cryptography and coding theory, 7.5 higher education credits (G1F) *
* Algorithms and advanced data structures, 7.5 higher education credits (G1F)
Year 3 (Autumn term)
* Algebraic structures 1, 7.5 higher education credits (G2F) *
* Elementary number theory, 7.5 higher education credits (G2F) *
* Optional courses in computer science or mathematics, 15 higher education credits
Year 3 (Spring term)
* Computer graphics, 7.5 higher education credits (G2F)
* Optional course in Computer Science or Mathematics, 7.5 higher education credits
* Bachelor's degree dissertation project, 15 higher education credits (G2E) *
Specialism Engineering and Technology:
Year 1 (Autumn term)
* Basic Mathematics 1, 7.5 higher education credits (G1N) *
* Mathematical modelling 1, 7.5 higher education credits (G1N) *
* Vector geometry, 7.5 higher education credits (G1F) *
* Optional course in Computer Science or Mathematics, 7.5 higher education credits
* Bachelor's degree dissertation project, 15 higher education credits (G2E) *
Year 1 (Spring term)
* Calculus 1, 7.5 higher education credits (G1N) *
* Calculus 2, 7.5 higher education credits (G1F) *
* Mechanics, 7.5 higher education credits (G1N)
* Linear algebra, 7.5 higher education credits (G1F) *
Year 2 (Autumn term)
* Probability theory and statistics, 7.5 higher education credits (G1F) *
* Strength of materials, 7.5 higher education credits (G2F)
* Numerical methods, 7.5 higher education credits (G1F)
* Programming, 7.5 higher education credits (G1F)
Year 2 (Spring term)
* Analysis of several variables, 7.5 higher education credits (G1F) *
* Vector analysis, 7.5 higher education credits (G1F) *
* Fourier analysis, 7.5 higher education credits (G1F) *
* Optional course in Physics, Electrical Engineering, or Mathematics, 7.5 higher education credits
Year 3 (Autumn term)
* Ordinary differential equations, 7.5 higher education credits (G2F) *
* Partial differential equations, 7.5 higher education credits (G2F) *
* Finite element methods, 7.5 higher education credits (G2F)
* Optional course in Physics, Electrical Engineering, or Mathematics, 7.5 higher education credits
Year 3 (Spring term)
* Optional course in physics, electrical engineering, or mathematics, 15 higher education credits
* Bachelor's degree dissertation, 15 higher education credits (G2E)
Specialism Economics and Stochastics:
Year 1 (Autumn term)
* Basic Mathematics 1, 7.5 higher education credits (G1N) *
* Mathematical modelling 1, 7.5 higher education credits (G1N) *
* Vector geometry, 7.5 higher education credits (G1F) *
* Programming, 7.5 higher education credits (G1N)
Year 1 (Spring term)
* Calculus 1, 7.5 higher education credits (G1N) *
* Calculus 2, 7.5 higher education credits (G1F) *
* Linear algebra, 7.5 higher education credits (G1F) *
* Discrete Mathematics, 7.5 higher education credits (G1F) *
Year 2 (Autumn term)
* Probability theory and statistics, 7.5 higher education credits (G1F) *
* Optimization methods, 7.5 higher education credits (G1F) *
* Numerical methods, 7.5 higher education credits (G1F)
* Stochastic processes, 7.5 higher education credits (G1F) *
Year 2 (Spring term)
* Analysis of several variables, 7.5 higher education credits (G1F) *
* Linear statistical models, 7.5 higher education credits (G1F) *
* Micro economics, 15 higher education credits (G1N)
Year 3 (Autumn term)
* Ordinary differential equations, 7.5 higher education credits (G2F) *
* Partial differential equations, 7.5 higher education credits (G2F) *
* Optional course in Economics, 7.5 higher education credits
* Optional course in Economics or Mathematics, 7.5 higher education credits
Year 3 (Spring term)
* Statistics, continuation, 7.5 higher education credits (G2F) *
* Optional course in Economics or Mathematics, 7.5 higher education credits
* Bachelor's degree dissertation project, 15 higher education credits (G2E) *
*=main field course.
IELTS
You are normally required to take an English Proficiency Test.
Most European Universities recognise the IELTS test.
Take testRequirements
Basic eligibility for first-level studies as well as special eligibility requirement in Mathematics D or the equivalent. For the Engineering and Technology specialism, Physics B or the equivalent is also required.
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: | High School diploma |
| 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 Hans Frisk to ask a question about Applied Mathematics at Linnaeus University Växjö Campus.
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