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Master's Programme in Computational Science and Engineering

  • Number of credits 120 Credits
  • Study time 2 years (full time)
  • Level Master’s Degree
  • Starting Autumn Term 2017

Computational Science and Engineering is a field of knowledge aiming at the development of methods that rely on computers and mathematics to model, simulate and visualize various kinds of systems, in nature and society. You typically deal with complex systems and large data sets. The methods can be applied to everything from making risk analyses to exploring ecological systems or making computer games and special effects in movies.

While studying

Computational Science and Engineering often combines several different disciplines including computer science, numerical analysis, applied mathematics, physics, biology and economy. During your education you learn to deal with complex systems and large data sets. The Master's programme begins with four compulsory courses in for example modelling, simulation and numeric methods.

Specialize according to your interests

During the second and third terms you choose between several eligible courses. You can for example choose to specialise in parallel programming, financial mathematics and advanced computer graphics. You take two parallel courses for every study period. The programme closes with a diploma work that gives opportunities both to make use of the attained knowledge and to learn the more specific tricks of the trade for a certain application.

Programme overview

Career opportunities

Computional Science and Engineering is widely used both in scientific research and advanced industrial development, for example for model building and analysis of data from different experiments.

Further studies?

After completing your degree you can choose to take more courses on advanced level or study for a PhD degree.

Application and eligibility

Master's Programme in Computational Science and Engineering, 120 hp

Det finns inga tidigare terminer för kursen Autumn Term 2017 Visa tillfällen för efterkommande termin

Second admission round for EU/EEA citizens

Programme starts

Autumn Term 2017

Type of studies

100%, Daytime

Study location

Umeå

Language

English

Number of places

20

Eligibility

A Bachelor's or Bachelor of Engineering degree (equivalent to a Swedish Kandidatexamen or Högskoleingenjörsexamen, 180 ECTS) from an internationally recognised university. Special requirements are 15 ECTS-credits in Computing science, with a minimum of 7,5 ECTS-credits in Programming and 7.5 ECTS_credits in numerical methods. 30 ECTS-credits in Mathematics including single- and multivariable analysis and linear algbra, 7.5 ECTS-credits in Mathematical statistics.For individual courses within the program additional courses may be required. English proficiency equivalent to English A from Swedish Upper secondary education. (IELTS (Academic) with minimum score 5.5 and no individual score below 5.0. TOEFL (Paper based with minimum score 530 and minimum TWE 4). TOEFL (Internet based with minimum score 72 and minimum Written 17)). Basic entrance requirements for higher studies in Swedish language proficiency is also required if the course is taught in Swedish. If you are still working towards your undergraduate degree, you need to include with your application a document from your current University, outlining when you are expected to graduate as well as a course outline for the last semester (for more information, See http://www.umu.se/english/education/master/eligibility).

Selection

Academic credits

Application code

UMU-05028

Application

Application deadline was 18 April 2017. The application period is closed.

Application and Tuition fees

As a citizen of a country outside the European Union (EU), the European Economic Area (EEA) or Switzerland, you are required to pay application and tuition fees for studies at Umeå University.

Application fee

SEK900

Tuition fee, first instalment

SEK67,500

Total fee

SEK270,000

Contact us

Contactpersons for the programme are: Eddie Wadbro, Programme Coordinator

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