M.Sc. On Campus

Applied and Computational Mathematics

KTH Royal Institute of Technology

24 months
14505 EUR/year
Tuition fee
Apply date
Start date


The Applied and Computational Mathematics programme from KTH Royal Institute of Technology fosters skilled applied mathematicians, well-prepared for advanced industrial positions or PhD studies. 


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.


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


  • Full-time
    • 24 months

Start dates & application deadlines


120 ECTS


On Campus

Academic requirements

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

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.

Tuition Fee

To alway see correct tuition fees
  • International

    14505 EUR/year
    Tuition Fee
    Based on the tuition of 29011 EUR for the full programme during 24 months.
  • EU/EEA

    Tuition Fee
    Based on the tuition of 0 EUR for the full programme during 24 months.
  • The full programme tuition fee for non-EU/EEA/Swiss citizens studying this programme is SEK 310,000.

Living costs for Stockholm

9668 - 17248 SEK /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.


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.

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Applied and Computational Mathematics
KTH Royal Institute of Technology


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