MSc, 120 cr, 2 years
Programme aim
To study real world systems generally involves studying the dynamics of complex systems consisting of many interacting components. Examples of such systems are found in both natural and social sciences and include phenomena such as the global climate, interacting species in ecosystems and the dynamics of financial systems to mention a few.
The aim of this programme is to provide a broad and thorough introduction to the theory of complex systems and its applications to the world around us. The programme is based on a physics perspective with a focus on general principles, but it is also interdisciplinary with courses available in information theory, computer science and optimisation algorithms, ecology and genetics as well as adaptive systems and robotics.
Who should apply
If you are interested in gaining a broad perspective on physical systems and learning about the generality of mathematical modelling and the analytical and computational methods for the study of such systems, CAS is a good programme for you.
Why apply
Training in "computational engineering" teaches students to model and analyse complex systems. Being proficient at computer simulations is very attractive in the job market, for example in industry R&D, finance and in applied and basic research.
Programme content
Note! preliminary version - to be updated
Detailed programme content in the Student portal, for current students
Research connections
The contents of the programme are closely connected to the research on genetics and turbulence, information theory and adaptive systems and robotics performed at Chalmers and the University of Gothenburg.
There are typically a few openings each year for students who have excelled and who want to purse a PhD in complex systems within one of the disciplines. There is also a lively exchange with international research groups and regular guest lectures on current research that is often directly related to the course material.
Specific eligibility
Undergraduate profile
Major in Engineering Physics, Physics, Electrical Engineering, Mechanical Engineering, Automation and Mechatronics Engineering, Computer Science, Computer Engineering, Mathematics, Chemical Engineering, Chemistry, Bio Engineering or the equivalent.
Prerequisites
Mathematical analysis, Linear algebra and Programming.
English Language Proficiency
There are several ways of proving that you possess the required level of English language proficiency. Most commonly this is done by submitting one of the approved English language tests.
To read more about required minimum test results and other means of certifying fulfillment of the English language proficiency requirement, please visit:
English Language Profiency
Basic eligibility
All applicants to education on advanced level must meet standard requirements regarding earlier education, called basic eligibility.
Notes
Degree: Master of Science (MSc)
Credits: 120
Duration: 2 years
Application Code: CTH-11009
Contacts
Specific questions about the programme's content:
Jenny Borgqvist
jenny.borgqvist@chalmers.se
Mats Granath, programme director
mats.granath@physics.gu.se
+4631-7869026![]( "Ring: +4631-7869026")
Other questions