Recommendations for students in Master programme in Cognitive Science

During your study, you will be challenged to figure out, which phenomenon relevant for cognitive science is the most interesting to you and which you would hence like to focus on. During the first semester, you are expected to present your profile at the meicogsci portal. Related to this, you will also choose optional and elective courses, in which you can be assisted by the guarantor, tutor, as well as involved teachers - please do not hesitate to contact them and talk to them. Along with the courses, you will choose the topics for your individual activities:

Semester project (2-IKV-122): scheduled for 2nd semester. It may, but does not have to, be related to your master thesis. For the project, you can also form pairs and work together on the same topic, e.g. looking at it from two different angles, appropriately sharing the workload. Please discuss the topic with your potential mentor (supervisor) and the tutor. The project outcome will be presented at the MEiCogSci conference (in the form of a poster).

Mobility: It is obligatory for you to spend one (by default, the third) semester at a foreign university within the consortium. Therefore, good command of your English is very important. Go to local pages of MEiCogSci programme (section Mobility), to get information about the mobility and the MEiCogSci portal (section Partner universities) to learn about partners' specialisations.

Master thesis (2-IKV-910): according to the curriculum, the student is supposed to intensively work on it during the 4th semester, but the topic and the contents have to be specified earlier. The topic for master thesis may be inspired by the semester project or by the mobility. For the thesis, it is important to incorporate the feature of interdisciplinarity, i.e. looking at the studied phenomenon from the viewpoint of at least two disciplines (see also home of MEiCogSci portal). You will present the intermediate stages of your work at the master thesis seminar (2-IKV-921) and the final work at the MEiCogSci conference.