MSc in Brain Imaging, Course Modules
The MSc programme consists of compulsory modules that comprise 70 credits. In addition, there are three pathways (Cognitive Neuroscience, Neuropsychology, Computational Methods). Each pathway includes optional taught modules (30 credits), a research placement (20 credits) and a research project (60 credits).
Functional Imaging Methods (20 credits)
The module covers brain imaging methods such as magnetic resonance imaging (MRI), magnetoencephalography (MEG), electroencephalography (EEG) and transcranial magnetic stimulation (TMS). An additional focus is on the strengths and limitations of these methods in health and disease.
Experimental Design for Functional Imaging (10 credits)
The module covers principles of experimental design; the topics include lectures on how to design, conduct and analyse neuroimaging experiments in various research areas.
Neuroimaging Practicals (15 credits)
The module provides an introduction to SPM (Statistical Parametric Mapping), a widely used software package for (f)MRI analysis and a comprehensive introduction to MATLAB, a versatile software package for data analysis.
Analytical Research Methods (10 credits)
The module covers advanced statistics such as multiple regression, correlation analysis, exploratory factor analysis and bootstrapping.
Professional Skills (15 credits)
The module involves participation in courses of the Graduate School in order to develop skills that are relevant for working in a research environment.
Cognitive Neuroscience pathway
The Cognitive Neuroscience pathway focuses on the neuroscientific approach to cognition. It is also rooted within Neurobiology. A number of optional modules are available such as Mind and Brain, Sensory Neuroscience, Current Trends in Neuroscience.
The Neuropsychology pathway focuses on the brain-behavioural relation and addresses various functions in normal and disordered states and across the lifespan. A number of optional modules are available such as Clinical Neuropsychology, Topics in Child and Adolescent Mental Health, Developmental Cognitive Neuropsychology.
Computational Methods pathway
The Computational Methods pathway focuses on image processing operations and techniques as well as their application for studying advanced topics in related fields. A number of optional modules are available such as Computational Neuroscience and Neuroinformatics, Scientific Computing, Signal Processing and Control Engineering.
Each pathway has a research placement and project:
Research Placement (20 credits)
The module involves a project of limited size within a specific research area. The method used for this practical work depends on the topic chosen and can be brain imaging, psychophysics, or computational modelling. Students work under the supervision of a research advisor.
Research Project (60 credits)
The module involves a substantial project within a specific research area. The method used for this practical work depends on the topic chosen and can be brain imaging, psychophysics, or computational modelling. Students work under the supervision of a research advisor.
Information for applicants