The Complex Adaptive Systems programme is offered at the Chalmers University of Technology.
Inspired by complex adaptive systems in nature, several new methods for information processing have emerged: artificial neural networks resemble neurobiology; genetic algorithms and genetic programming are based on evolutionary processes in nature; the construction of artificial life, the design of autonomous robots and software agents are based on the behaviour of living systems.
To understand the dynamics of increasingly complex phenomena where standard simulation methods are inadequate, stochastic algorithms, game theory, adaptive programming, self similarity, chaos theory and statistical methods are used to describe and increase our understanding of complex systems in nature and society, in the end trying to predict the unpredictable. Examples are gene-regulation networks, the motion of dust particles in turbulent air or the dynamics of financial markets.
One example is fluctuations of share and option prices determining the stability of our economy. Other examples are the dynamics of dust particles in the exhaust of diesel engines, the dynamics of biological or artificial populations, earthquake prediction, and last but not least adaptive learning: the problem of teaching a robot how to respond to unexpected changes in its environment.
Truly interdisciplinary and encompassing several theoretical frameworks, this programme provides you with 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 also provides courses in information theory, computer science and optimisation algorithms, ecology and genetics as well as adaptive systems and robotics.
Training in "computational engineering" teaches students to model and analyse complex systems and the computer modelling and analytical skills acquired in the programme open up a wide range of possibilities on the employment market, in software development and consulting, in research and development, management, and in the financial sector.
Besides traditional lectures on simulation and theory of complex systems, the programme is largely based on numerical calculation and simulation projects and depending on course selection possibly practical work in the robotics lab.
More informationVisit official programme website
- Stochastic optimization algorithms, Examination
- Artificial neural networks, Written and oral assignments
- Complex systems seminar, part A, Project
- Computational biology 1, Written and oral assignments
- Simulation of complex systems, Project
- Complex systems seminar, part A, Project
- Quantum mechanics, Examination
- Advanced molecular biology, Examination
- Image processing, Examination
- Humanoid robotics, Project
- Entrepreneurship and project management, Project
- Algorithms, Examination
- 24 months
Start dates & application deadlines
- Deadline passed
DisciplinesPhysics Neuroscience Robotics
We are not aware of any academic requirements for this programme.
Bachelor´s degree (or the equivalent) with a Major in Engineering Physics, Physics, Electrical Engineering, Mechanical Engineering, Automation and Mechatronics Engineering, Computer Science, Computer Engineering, Mathematics, Chemical Engineering, Chemistry, Bio Engineeringor the equivalent.
Prerequisites: Mathematics (including Linear algebra and Mathematical analysis) and Programming.
English Language Proficiency
The most common and important scores that are accepted are
- IELTS (academic training), 6.5 (with no part of the test below 5.5)
- TOEFL (Internet based): 90 (with a minimum of 20 on the written part)
- TOEFL (paper based): 575 (with a minimum of 4.5 on the written part)
International14551 EUR/yearTuition FeeBased on the original amount of 14551 EUR per year and a duration of 24 months.
EU/EEAFreeTuition FeeBased on the original amount of 0 EUR per year and a duration of 24 months.
- 140 000 SEK/academic year;
Scholarships are a great source of funding for Master's students who are liable to pay tuition fees. Chalmers University of Technology offers numerous scholarship opportunities. Some of these are administered by the university itself and others by external institutions.
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
Apply and win up to €6000 to cover your tuition fees.
Updated in the last 3 months
Check the official programme website for potential updates.