Overview
The Applied and Computational Mathematics programme from KTH Royal Institute of Technology consists of foundation courses that are mandatory for all students, and once the individual specialisation track is chosen, there are relevant mandatory courses within that area as well. The programme offers four tracks: Computational Mathematics, Financial Mathematics, Optimisation and Systems Theory, and Mathematics of Data Science.
Regardless of which track students attend, the final term consists of a degree project that may be carried out in an academic or industrial environment in Sweden or abroad. Students are welcome to discuss project ideas with the staff of the Department of Mathematics, but are also encouraged to seek other contacts, in the academic world and in industry, to identify suitable projects. The result of the degree project is provided as a written report and as a presentation at a seminar.
Career
Advanced mathematics and computer simulations are present within several important fields, their use has increased dramatically by the rapid development in computer software and hardware. Financial mathematics, medicine and biology are prevalent areas, but students will be able to bring the usage of mathematics and simulations into a multitude of applications.
The graduates of this programme are in high demand in the labour market as well as in academia. Alumni work in large and smaller companies like Ericsson, ABB, Comsol, SAAB, RaySearch Labs, Modelon, If, Citibank, Brainlab, ÅF, Atlas Copco, Elekta, Process Systems Enterprise, Goldman Sachs, and many others. Another alternative is an academic carrier in which the programme’s alumni continue with their doctoral studies at KTH, other Swedish universities, or other leading European and US universities.
Programme Structure
Courses include:- Theory and Methodology of Science (Natural and Technological Science)
- Sustainable development and research methodology in mathematics
- Applied Numerical Methods
- Probability Theory
- Visualization
- Methods in High Performance Computing
- Advanced Computation in Fluid Mechanics
- Machine Learning
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
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Language
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Credits
Delivered
Campus Location
- Stockholm, Sweden
Disciplines
Applied Mathematics Computational Mathematics View 5 other Masters in Applied Mathematics in SwedenWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
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Other requirements
General requirements
- A bachelor's degree corresponding to 180 ECTS credits, or equivalent, with at least 45 ECTS credits in Mathematics.
- The students are required to have documented knowledge corresponding to basic university courses in calculus in one and several variables, linear algebra, numerical analysis, ordinary and partial differential equations and integral transforms, mathematical statistics and basics of programming in a higher programming language.
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Tuition Fees
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International Applies to you
Applies to youNon-residents180000 SEK / year≈ 180000 SEK / year -
EU/EEA Applies to you
Applies to youEU/EEA NationalsFree
Additional Details
Citizens of an EU/EEA country or Switzerland are not required to pay application and tuition fees.
Living costs
Stockholm
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Applied and Computational Mathematics.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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