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 required courses within that area as well.
Regardless of which track students attend, the final term consist 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 having 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 on 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 where the programme’s alumni continue with doctoral studies at KTH, other Swedish universities, or other leading European and US universities.
The field of computer simulations is of great importance for high-tech industry and scientific/engineering research, for example virtual processing, climate studies, fluid dynamics, advanced materials, etc.
Financial mathematics is applied mathematics used to analyse and solve problems related to financial markets. Any informed market participant would exploit an opportunity to make a profit without any risk of loss.
This is a discipline in applied mathematics primarily devoted to methods of optimization, including mathematical programming and optimal control, and systems theoretic aspects of control and signal processing.
Statistics is the science of learning from data. Classical statistics is trying to understand data by determining a plausible model for data, and testing whether the data fits the model.
You can apply until:
Always verify the dates on the programme website.
You only need to take one of these language tests:
Minimum required score:
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Minimum required score:
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Minimum required score:
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A Bachelor of Science corresponding to 180 ECTS, or equivalent, with at least 45 ECTS credits in Mathematics. The students are required to have documented knowledge corresponding to basic courses in analysis in one and several variables, linear algebra, numerical analysis, differential equations and transforms, mathematical statistics, and basics of programming in a higher programming language.
The requirements may be assessed as not fulfilled if
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