MSc Computer Simulations for Science and Engineering
KTH Royal Institute of Technology
About this program
MSc Computer Simulations for Science and Engineering
The master's program in Computer Simulations for Science and Engineering (COSSE) focuses on the multidisciplinary field of Computational Science and Engineering, an enabling technology for scientific discovery and engineering design. It involves mathematical modelling, numerical analysis, computer science, high-performance computing and visualisation. The program is highly research-oriented, and two-thirds of graduates go on to PhD studies at leading universities worldwide.
Admission requirements
English proficiency
English language proficiency equivalent to the Swedish upper secondary course English 6 is required. You can meet the requirement by achieving the minimum required score in the following internationally recognised English tests:
- IELTS Academic/IELTS UKVI: An overall score of 6.5, with no section lower than 5.5
- TOEFL iBT: Score of 20 (scale 0-30) in written test, total score of 90. We accept TOEFL iBT Home Edition and Paper Edition. We do not accept TOEFL ITP, TOEFL iBT MyBest, Institutional TOEFL, TOEFL Essentials, or the revised TOEFL Paper-delivered Test.
- Cambridge Michigan Language Assessments: University of Michigan, Examination for the Certificate of Proficiency in English (ECPE)
- Pearson PTE Academic or PTE Academic Online: Score of 62 (writing 61)
- Cambridge ESOL: C1 Advanced (CAE), minimum overall score 180 (points awarded since 2015), or Cambridge English certificate level C1, minimum score 180, or Cambridge English: Advanced
For more information about admission requirements, please visit the institute website.
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Learn moreProgram content
Year 1
- Theory and Methodology of Science
- Sustainable development and research methodology in mathematics
- Applied Numerical Methods
- Probability Theory
- Finite Element Method
- Matrix Computations
- Numerical Solution of Differential Equations
- Parallel Computations
- Applied nonlinear Optimization
- Comp Meth for Stoch Diff Equations
- Numerical Methods for Stochastic Differential Equations and Machine Learning
- Visualization
- Numerical Algorithms for Data-Intensive Science
Year 2
- Theory and Methodology of Science
- Sustainable development and research methodology in mathematics
- Advanced Individual Course in Sc Comp
- Project course in Scientific Computing
- Program construction in C++ for Sc Comp
- Machine Learning
- Machine Learning (Adv Course)
- Modern Methods of Statistical Learning
- Mathematical Modeling of Biological Systems
- Biomedicine for engineers
- Computational Chemistry
- Bioinformatics and Biostatistics
- Molecular Modeling
- Mathematical Systems Theory
- Systems Engineering
- Applied Systems Engineering
- Portfolio Theory and Risk Management
- Risk Management
- Topological data analysis
Scholarships & funding
Several scholarship options are available. Please check the institute website for more information.
Tuition
- The full program tuition fee for non-EU/EEA/Swiss citizens studying this program is € 25,000.
- The full program tuition fee for EU/EEA/Swiss citizens studying this program is € 4,200
Qualification
Credits: 120 ECTS
Learning outcomes
Students in the master's program in Computer Simulations for Science and Engineering will become very familiar with the tools of CSE, which include:
- mathematical modelling techniques,
- simulation techniques (discretisations, algorithms, data structures, software in CSE),
- and analysis techniques (data mining, data management, visualisation).
The students will become experts in the generic tools as applied to one of the specialisations offered by the universities. Upon graduation, the students will have acquired:
- familiarity with selected scientific and engineering application areas and their mathematical models.
- a knowledge base and skills ranging from formulating mathematical models to constructing software for high-performance computer architectures.
- effective communication skills for interacting on written and oral presentations with the professional community as well as management and society at large.
- a degree of independent and critical appraisal of the capability and limitations of, and results produced by, computational modelling.
Career paths
As to career opportunities, a degree from the master's program in Computer Simulations for Science and Engineering opens several opportunities:
- To join the international research community by continuing PhD studies in the CSE and science/engineering fields where simulation and high-performance computing is applied: fluid dynamics, electromagnetics, molecular physics, quantum chemistry, material science, chemical engineering, structural mechanics, biocomputing, and many more.
- To gain employment in "end-user" high-tech industry and "provider companies", using and developing tools for advanced computer simulation in, for example, the pharmaceutical, automotive, materials, aeronautics, power generation, and microelectronics industry.
- To start new innovative companies which are based on CSE expertise.
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About this institute
KTH Royal Institute of Technology
Since its founding in 1827, KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical...
Why study at KTH Royal Institute of Technology
KTH Royal Institute of Technology is the largest and highest-ranked technical university is Sweden and ranks among the top ten in Europe. With a strong focus on internationalization, the KTH campus is an arena for bringing highly talented students, teachers and researchers together to share perspectives from around the globe.
Sustainable development is a natural aspect of Swedish society and an integral part of KTH's operations and spirit. KTH is ranked 42 among universities world-wide when it comes to meeting the sustainable development goals, according to THE University Impact Ranking 2022. One of KTH's most important goals is that all graduates have up-to-date knowledge and tools to move society in a more sustainable direction. For each of our master's programmes, you can read about how the programme relates to the sustainable development goals and what knowledge and tools you will acquire to contribute to a more sustainable society.
Contact info
KTH Royal Institute of Technology
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