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Structure of the studies
The four-semester master program consists of ten modules and a Master's thesis for a total of 120 credit points (ECTS). The program is divided into two stages: Lectures and Research, corresponding to the two years of the program.
During the first year, the Lecture stage, the students are expected to complete several courses which cover all three focuses of the program. These courses deepen the general theoretical and empirical foundations of the focuses while also developing general methodological skills.
In the Research stage the students will have an opportunity to gain in-depth training in their chosen specialization of neuroscience thereby allowing the students to develop the skills required for them to perform research at a highly competitive level. In the second year of the program, the class schedule is reduced to a week of class or one or two sessions a semester.
The structure of the Master's program is presented below.
More detailed information regarding each module is available by clicking the respective button.
This module covers the foundations of classical and Bayesian statistical inference and selected topics in probabilistic modelling of functional neuroimaging data.
This module is an extension of the Neurocognitive Methods and Programming module and further develops student's data analytical abilities and other practical skills.
During this time the students will complete their master's thesis on a topic of their own choosing.
This module allows students to further explore their research interests by completing an internship in a lab of their choice.
This module covers the theoretical underpinnings and practical aspects of neurocognitive methods and provides students with an introduction to computer programming, a fundamental skill in neuroimaging research.
During this module students are required to present their proposal for their MSc thesis.
This module will explore current theories and research methods regarding social and affective neuroscience by focusing on a selection of recent papers published in the field.
This module explores cognitive and affective neuroscience with a focus on the underlying biological causes.
This module covers current theories and practical issues associated with researching learning, cognition and decision making.
This module focuses on the ontogeny of neuronal social-cognition, emotion and communication by analyzing both human and non-human primate data.
This module is concerned with current and historical theories underlying the development for various mental disorders as well as the treatment options available.