Complex Adaptive Systems is an international, interdisciplinary programme at the University of Gothenburg. It is taught jointly with the International Masters Programme in Complex Adaptive Systems at Chalmers.
The programme at the University of Gothenburg is open to international and domestic students with a basic academic degree in the natural, engineering, or mathematical sciences. The programme is interdisciplinary, with lectures on simulation and theory of complex systems, practical work in the robotics lab, and supervised project work.
The aim is to prepare the students for research and development work in industry or for continued academic studies. Students of the programme are assisted in finding their own topics and interests in the field of complex systems. Computer simulations, game theory, and statistical methods are used to describe and increase our understanding of complex systems in nature and society. For more information see the external web page www.studycas.com.
A Bachelor's degree in Engineering, Natural or Mathematical sciences of 180 hec with sufficient knowledge of mathematics, that is Mathematical analysis, Linear algebra and Programming, or the equivalent at an accredited University including at least 90 hec in a major subject. Applicants must prove their knowledge of English: English 6/English B from Swedish Upper Secondary School or the equivalent level of an internationally recognized test, for example TOEFL, IELTS.
Selection: Selection is based upon the number of credit points from previous university studies, maximum 225 hec.
|Autumn 2017||Day, 100 %||Opens 1 Nov|
APPLICATION CODE: GU-61199
LAST APPLICATION DATE: 2016-01-16
APPLICATION AND TUITION FEE:
Application fee 900 SEK
Full programme cost 273 800 SEK
First payment 68 450 SEK
Application and tuition fees do not apply for EU/EEA citizens or exchange students.Further information on how to apply and application and tuition fees: http://www.universityadmissions.se
Do you have any questions regarding this programme? Please contact our study advisors