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Scientific Computing – (M.Sc.)
KTH Royal Institute of Technology
School of Computer Science and Communication (CSC)
| Application Deadline: | January 16 | ||
| Annual Tuition Fee: | Free - ≈ € 16,180 (non-EEA) | ||
| Location: | Stockholm / Sweden / View location on map ▾ Hide location on map ▴ | ||
| Duration: | 24 months | Start Date: | August |
| Educational Form: |
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| Education Variants: |
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| Credits (ECTS): | 120 | ||
| Languages: | English | ||
Location of KTH Royal Institute of Technology
The Master´s programme in Scientific Computing is given by the CSC School (Computer Science and Communication) at KTH, Stockholm, Sweden. It is hosted by the numerical group within the CSC School and has been given since autumn 1997.
Scientific computing is a multidisciplinary subject created by the need for making computer simulations in science and engineering. The programme provides a deep and detailed knowledge of Scientific Computing for solving major problems arising in industrial applications and in science/engineering.
Career prospects
A Master´s degree opens opportunities for both continued studies/industrial work in Scientific Computing and specialization within engineering/scientific areas where simulations through high performance computing is of importance e.g. CFD, CEM and development of new materials. The development and use of software for advanced computer simulations in different engineering and scientific areas is another important sector within consulting business. It is also important to note that 35% of the graduates from this programme continue with PhD studies.
Contents
The programme comprises compulsory and elective courses with a focus on numerical and applied mathematics, object oriented numerical programming, high performance computing using vector and parallel computers, scientific visualization, scientific and engineering applications, etc. Specializations can be chosen through the elective courses to areas such as CFD (Computational Fluid Dynamics), CEM (Computational Elctromagnetics) and High Performance Computing. Compulsory courses comprises about 2/3 of the ECTS credits. A great deal of time is spent on training in computer labs where excersises and projects are prepared using modern, high-performance computer tools for programming, simulation and visulization.
On graduation, students have acquired a very good training in problem solving within a broad spectrum of engineering areas from the formulation of a mathematical model to a working computer programme. Students also gain much experience in writing reports and making oral presentations of results in colloquia for teachers and fellow students. Labs and projects are carried out both in teams and individually.
The programme has three specialisations:
Specialisation - Scientific Computing
The rapid development of hardware as well as software has significantly improved the possibility to perform computer simulations of complex processes in science and engineering. The specialization of Scientific Computing is intended for students who want to acquire a general knowledge in advanced numerical methods used for simulation and optimization in different applications
Specialisation - Computational Fluid Dynamics
The aim of this specialization is to get a familiarity with differential equations for flow phenomena and numerical methods for their solution and experience in using/developing flow simulation software for the most important classes of flows in engineering/science. Through theory and skills learned the student will understand properties and limitations of different mathematical and computational models. She/he will also get in contact with different modern simulations tools for computational fluid dynamics.
Specialisation - Biocomputing
Biocomputing, with subareas like Systems Biology and Computational Neuroscience, is a rapidly developing field. In this specialization, the student will aquire knowledge and skills about model construction and simulation of these using specialized software tools. In this regard, he or she will learn about the types of differential equations encountered and the numerical methods used for solving these.
Degree project
The Degree Project, which is done individually and supervised by a teacher at the numerical group of the CSC School, is carried out during the final semester of the programme. It is assigned in a relevant research area and may be performed within the numerical group or at another department where high performance computing is of importance. It may also be undertaken in an industrial environment.
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Requirements
General admission requirements
The general requirements are the same for all applicants to advanced level studies in Sweden.
1. Previous studies
A completed Bachelor's degree.
A completed Bachelor's degree, corresponding to a Swedish Bachelor's degree (180 ECTS), or equivalent academic qualifications from an internationally recognised university. The university has to be listed in the latest edition of the International Handbook of Universities. A Bachelor's degree in Science or Engineering is required for most programmes at KTH.
2. Language requirements
Applicants must provide proof of their English language proficiency which is most commonly established through an internationally recognised test.
TOEFL
* Paper-based test: total result of 575 (written test, grade 4.5)
* Internet-based test: total result of 90 (written test, grade 20)
English test results from TOEFL should be sent directly from the ETS test centre to University Studies in Sweden (code 9520).
IELTS
* A minimum overall mark of 6.5, with no section lower than 5.5 (only Academic Training accepted)
University of Cambridge/ University of Oxford Certificates
* Certificate of Advanced English
* Certificate of Proficiency
* Diploma of English Studies
GCE O-level
* Minimum grade C.
Upper secondary education:
In some cases English proficiency can be fulfilled from upper secondary education, for example a German Abitur with English as first foreign language "Grundstufe" (ausreichend at least 5/15) or "Leistungsfach" or French students who have taken English as LV 1 in Série L (littéraire) Langue Vivante or Sèrie ES, Langue Vivante. In most cases the requirement of English proficiency is fulfilled if you have studied English for eight years up to upper secondary education. Proof thereof must be enclosed in your application.
English proficiency tests are waived for the following:
* Applicants with a Bachelor's degree from a university where English is the only language of instruction, in accordance with recommendations in the latest edition of the International Handbook of Universities.
* Applicants with a Bachelor's degree from an internationally recognised university, where all courses of the study programme were taught in English. (This must be evident from the Transcript of Records/Diploma supplement/ Degree certificate).
* Applicants with a 4 year Bachelor's degree in Engineering, Science, Technology, Medicine, Pharmacy or Computer Science from India or Pakistan.
* Applicants with a Bachelor's degree (a Swedish Kandidatexamen or equivalent academic qualifications) with English as the major subject.
* Applicants who have 30 HE credits from a Nordic country and the language of instruction of the course/programme/university is English (proof thereof must be enclosed).
Specific admission requirements
A Bachelor´s degree (or equivalent) with credits in subjects according to the following minimum levels.
* Mathematics; 30 ECTS (including Linear Algebra, Calculus part 1 (one variable) and part 2 (several variables) and Ordinary and Partial Differential Equations).
* Numerical Analysis; 6 ECTS
* Computer Science; 10 ECTS.
In addition, 12 ECTS from courses where it is essential that applications of high performance computing (e.g. Mechanics, Physics, Fluid Dynamics, Electromagnetics) have been used.
Selection Process
The selection process for the Master of Science programme in Scientific Computing is based on a total evaluation of the following selection criteria: grade point average (GPA), courses listed above (mathematics, computer science, numerical methods, applications), letter of intent and references.
Required documents
All applications must be supported by documentation including Transcripts of Records, Degree certificate/Diploma, proof of English proficiency etc.
In addition, the following set of documents is required for the Master's programme in Scientific Computing:
* Letter of intent
* 2 letters of recommendation
Additional Requirements
| Minimal degree required: | Bachelor's degree |
| Minimal amount of work experience | Not specified |
Language Proficiency
| IELTS Band: | 6.5 |
| TOEFL Paper-based: | 575 |
| TOEFL Internet-based: | 90 |
Ask a Question
You can contact Mattias Sandberg to ask a question about Scientific Computing at KTH Royal Institute of Technology.
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