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Computer Simulations for Science and Engineering - COSSE – (M.Sc.)
KTH Royal Institute of Technology
Erasmus Mundus Master's Courses| Application Deadline: | November 30 | ||
| Annual Tuition Fee: | ≈ € 4,000 - ≈ € 8,000 (non-EEA) | ||
| Location: | Stockholm / Sweden / View location on map ▾ Hide location on map ▴ | ||
| Duration: | 24 months | Start Date: | August |
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| Credits (ECTS): | 120 | ||
| Languages: | English | ||
Location of KTH Royal Institute of Technology
The COSSE-programme is offered by:
- KTH Royal Institute of Technology, Sweden
- Technical University of Berlin, Germany
- Delft University of Technology, the Netherlands
- Friedrich-Alexander University of Erlangen-Nürnberg, Germany
The field of computer simulations is of great importance for high-tech industry and scientific/engineering research, e.g. virtual processing, climate studies, fluid dynamics, advanced materials, etc. Often the field is referred to as the third pillar of science complementing theory and experiments.
COSSE is a two-year master's programme offering a double degree from two universities. The students enter one of the universities and continue the second year at one of the other institutions in another country. COSSE offers education of the highest international standard as well as a unique experience of meeting different European cultures, languages, climate and nature.
Students from any country are welcome to apply. A number of Erasmus Mundus scholarships are available.
Computer Simulation for Science and Engineering (COSSE) is a master's programme within the multidisciplinary field of Computational Science and Engineering (CSE), which is an enabling technology for scientific discovery and engineering design.
CSE involves mathematical modeling, numerical analysis, computer science, high-performance computing and visualization. The remarkable development of large scale computing in the last decades has turned CSE into the "third pillar" of science, complementing theory and experiment.
CSE offers scientists new insights in scientific problems and tools for extracting and using detailed information from volumes of data. CSE also provides reliable information for design in engineering disciplines, thereby shortening and economizing the design cycle for products and processes.
The aim of COSSE is to train professionals in CSE. The creation, investigation, implementation, evaluation and documentation of computational models in science and engineering is a process which puts high demands not only on technical skills but also on the communication with other professionals. Since the connections to applications is of great importance CSE practitioners must have good knowledge of, and substantial collaboration with experts in, those disciplines.
By involving CSE-expertise from four high-ranked European universities a top quality education in CSE is established. COSSE is a two-year program comprising compulsory and elective courses with focus on numerical and applied mathematics, object oriented numerical programming, high performance computing, scientific visualization and at least one application where CSE is of great importance, e.g. fluid dynamics, material science, bioapplications, etc. The studies are completed with a half-year project in a Master's Thesis, which can be done in an industrial environment or in a research group.
Contents
The COSSE master's programme is a two-year programme including compulsory mobility for the students. They will enter in one of the universities (the "home university") and continue the second year at one of the other universities in another country (the "host university"). The combination of universities is free, however, the number of students will balanced among the universities by the coordinator.The first 60 ECTS credit points are taken at the home university and the remaining 60 ECTS credit points are taken at the host university.
The programme includes three semesters of courses followed by the fourth research semester spent on the Master's Thesis (30 ECTS) under the supervision of both the home and the host university.
Please note that it is not possible to combine the two German universities. The students receive doubles degrees, i.e a degree from both the home and the host university. The second year includes a choice of a specialization according to the chosen host university. The specialization may be selected according to the following possibilities:
* KTH: biocomputing, computational materials science
* TU Berlin: computational control theory, computational optimization
* TU Delft: computational fluid dynamics, numerical linear algebra
* Erlangen: scientific visualization and image processing, high performance computing
The specializations offered reflect the research areas of each institution and their spear head competencies.
The courses are classified as core, specialization, elective and extracurricular with the core courses being mandatory and taken the first year.
The core courses (Numerical Analysis, Applied Matehmatics, Scientific Computing) are collected in a block of compulsory courses fundamental for the program. The core blocks of the partner institutions are equivalent. Hence the core block can be taken at any of the partner universities.
After the workshop each student will have chosen a specialization and a host university for the rest of her/his studies. To prepare students for the advanced specialization courses at their host university, they will be guided to take suitable preparatory courses in the second semester at their home university parallel to completing the core curriculum.
The second year of the Master's program is spent at the host university with specialization and elective courses and the Master thesis project. Courses corresponding to 30 ECTS credits are taken most of which are within the specialization. A few courses, such as languages, can be taken as extracurricular.
Master's Thesis
The Master's thesis comprises 30 ECTS credits, and is carried out in the second half of the second year of the programme.
Students are supervised and examined by faculty from both the home and the host university. Topics of master thesis are suggested at the work shop or by teachers at the home or host university. The thesis work may be performed in a research group at the institute or as a project in industry or consulting company. The result of the thesis work is presented as a written report and in an oral seminar.
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Requirements
To qualify for the COSSE programme applicants need to fulfill the admission requirements based on previous studies, English proficiency and documentation. Please note that the admission requirements can vary for each Erasmus Mundus Master’s Programme.
1. Previous studies: A completed Bachelor's degree
Applicants must have completed a Bachelor’s degree in Science or Engineering encompassing a minimum of 180 ECTS credits or equivalent academic qualifications from an internationally recognized university. Applicants must have a solid background in mathematics, computer science and numerical analysis and have taken the following subjects: vector calculus, ordinary differential equations, stochastics and statistics. In addition, a basic understanding of partial differential equations and basic experience of a higher programming language are required. The B.Sc. Cumulative Grade Point Average (CGPA) must be at least 75% of the scale maximum.
Conditional acceptance
Students in their final year of undergraduate education may also apply and if qualified, receive a conditional offer. If you have not completed your studies, please include a written statement from the degree administration office (or equivalent department), confirming that you are enrolled on the final year of your education and giving your expected completion date. If you receive a conditional offer, you should present your degree certificate to the Admissions Office before enrollment at the latest. Applicants following longer technical programmes and who have completed courses equivalent to an amount of 180 ECTS, will be considered on a case-by-case basis.
2. Language requirements: Proof of English proficiency
Applicants must provide proof of their English language proficiency, which is most commonly established through an internationally recognized test.
IELTS
A minimum overall mark of 6.5 is required, with no section lower than 5.5 (only Academic Training accepted). IELTS-tests are verified online by KTH admissions office, sending a photocopy of your test together with your application documents is therefore sufficient.
TOEFL
English test results from TOEFL should be sent directly from the ETS test centre to KTH Admissions Office (institution code 7966, department code 99). Examinee score reports or photocopies are not accepted. Please also note that neither TOEIC nor institutional TOEFL are accepted as sufficient proof of English proficiency.
The following TOEFL test scores are accepted as a minimum:
* Paper-based test: total result of 575 (written test, grade 4,5)
* Internet-based test: total result of 90 (written test, grade 20)
University of Cambridge/ University of Oxford Certificates
* Certificate in Advanced English (minimum grade C).
* Certificate of Proficiency (minimum grade C).
* Diploma of English Studies (minimum grade C).
Additional Requirements
| Minimal degree required: | Bachelor's degree |
| Minimal amount of work experience | Not specified |
Language Proficiency
| IELTS Band: | 6.5 |
| Cambridge English: Advanced (CAE): | Grade C (Score: 60) |
| TOEFL Paper-based: | 575 |
| TOEFL Internet-based: | 90 |
Ask a Question
You can contact Programme Director Michael Hanke to ask a question about Computer Simulations for Science and Engineering - COSSE at KTH Royal Institute of Technology.
Relevant Links
- Programme website, COSSE
- KTH Royal Institute of Technology, Sweden
- Technische Universität Berlin
- Friedrich-Alexander University of Erlangen- Nürnberg, Germany
- Delft University of Technology (TU Delft)
- University website
- Information about programme
- City website
- Study in Stockholm
- Information on Stockholm
- Study in Sweden
- Sweden's community for international students
- Student experiences about Sweden - STeXX.eu
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