The Master's Thesis Project shall be done during the last semester of a master's education aiming at a Master's Degree with a Major in Computational Science and Engineering.
During the course the student will develope her/his abilty to specify, plan, accomplish and present an individual project. The student should apply her/his knowledge from previous education in the project work and deepen her/his knowledge in at least one field of computing science (in-depth study). The in-depth study should provide some insight in research and development in computing science. The results must be presented both orally as well as in a written report.
Part 1. Individual project work (28 ECTS-credits) The individual project work should be carried out within a research project at the University or within a development project in the IT-industry. The project work must consist of general problem solving techniques and lead to a deeper understanding of the subject. Moreover, the project must not consist of coding work only. The in-depth study must be related to current scientific trends.
Part 2. Presentation (2 ECTS-credits) Apart from the previously mentioned written report, the Master's degree candidates have to present their work orally (in the form of a Thesis defence). Moreover, the student must act as an opponent in a fellow student's presentation, both for the written report and during the oral presentation. English will be the primary language.
Degree Project: Master of Science (two years) in Computational Science and engineering, 30 hp
Spring Term 2019
Lectures begin on week starting 21 January 2019
Lectures end during the week of 3 June 2019
English (upon request)
Type of studies
To be admitted you must hold a Bachelor's Degree and have finished courses at the advanced level corresponding to 60 ECTS-credits. These 60 ECTS-credits on advanced level should include 45 ECTS-credits from the field Computational Science and engineering. In these 45 ECTS-credits these courses or equivalent must be included: Modelling and Simulation (5FY095), Matrix Coumputations and Applications (5DA002), Numerical Methods for Partial Differential Equations (5MA038), and Non-Linear Optimization (5DA001) or equivalent. Depending on the direction of the Degree Project some extra prerequisites might be needed.
Proficiency in English equivalent to Swedish upper Secondary course English A.
Where the language of instruction is Swedish, applicants must prove proficiency in Swedish to the level required for basic eligibility for higher studies.
Applicants in some programs at Umeå University have guaranteed admission to this course. The number of places for a single course may therefore be limited.
Application deadline was
15 October 2018.
Please note: This second application round is intended only for EU/EEA/Swiss citizens.