Complex adaptive systems are hugely varied, and cover many academic fields. Widely used methods like genetic algorithms and artificial neural networks, for example, have roots in biology and physics. This programme will develop your understanding of these methods alongside the practical computational skills to apply them. You will work with mathematical modelling, computer simulation, and programming intensively throughout. Many of the courses involve project work in teams with students from other backgrounds, reflecting the varied nature of the field. These projects often involve real problems contributed by industry or academic partners such as pharmaceutical firm AstraZeneca, or Gothenburg’s Sahlgrenska University Hospital. |
These courses are intended as guidelines. Speak to your guidance counsellor to see what courses are offered at your school.
To fulfil the general entry requirement for a master's programme at Chalmers (at advanced level/the second cycle), the prospective student must hold a degree that is equivalent to a Swedish Bachelor's degree (minimum 3 years, 180 Swedish higher education credits) in either Physics, Mathematics, Chemical Engineering, Computer engineering, Mechatronics engineering, or the equivalent
Prerequisites: Mathematics (at least 24 cr. including Linear algebra and Mathematical analysis), Programming in a General-Purpose Language (at least 6 cr. e.g. Python, Java, C++, or similar) |
| Additional Admission Requirements: | - Letter(s) of Reference
- Resume/Curriculum Vitae
- Statement of Research Interests
- Work Experience
|
* We make every attempt to provide accurate information on prerequisites, programs, and tuition. However, this information is subject to change without notice and we highly recommend that you contact the school to confirm important information before applying.