The MSc in Complex Adaptive Systems at Chalmers University of Technology is an interdisciplinary program designed to understand and model phenomena where standard simulation methods are insufficient. Utilizing stochastic algorithms, game theory, adaptive programming, chaos theory, and statistical methods, the program explores complex systems in nature and society, aiming to predict their behavior. Examples range from gene-regulation networks and financial markets to the dynamics of dust particles in turbulent air and adaptive learning in robotics. The program offers a broad and thorough introduction to the theory of complex systems and their real-world applications. You will acquire the knowledge and tools for modeling and simulating these systems, as well as for using and developing algorithms for analysis, optimization, and machine learning. While grounded in a physics perspective, the curriculum also includes courses in information theory, computer science, optimization, ecology, genetics, and robotics. The program emphasizes numerical calculations and simulation projects, with opportunities for practical work in robotics labs depending on course selection.
The program is structured over two academic years, each containing different courses. Students can tailor their experience through profile tracks.
Graduates of the Complex Adaptive Systems MSc program are well-prepared for a variety of roles in data science and advanced engineering. The program equips students with strong computer modeling and programming skills, along with expertise in modern algorithms like deep machine learning and stochastic optimization. This skillset opens doors to careers in fields such as intelligent control systems, including the development of autonomous driving technology.
General entry requirements for higher education and specific programme requirements must be met. International applicants must also demonstrate English language proficiency.
Tuition fees are paid in Swedish Krona (SEK). Invoices are sent via email after admission results are announced. Payment is required before applying for a residence permit. Specific payment deadlines are provided with the invoice.
Tuition fees apply to citizens from countries outside the EU/EEA and Switzerland. Fees are set and invoiced in SEK and must be paid before applying for a residence permit.
The programme is structured over two academic years, with a full-time study rate.
Applicants need an IELTS score of at least 6.5 overall with no section below 5.5, or a TOEFL score of at least 90 with no section below 17.
A Bachelor's degree equivalent to at least 180 credits (ECTS) in a relevant field is required, with specific knowledge in physics, mathematics, and computer science expected.
Applications are submitted through universityadmissions.se. The application period typically opens mid-October and closes mid-January, with selection results usually announced in April.
Graduates are well-prepared for roles such as Data Scientist, Advanced Engineer, Intelligent Control Systems Developer, and Autonomous Driving Systems Developer, leveraging skills in computer modeling and machine learning.