Maastricht University, Faculty of Psychology and Neuroscience
Research Master Cognitive and Clinical Neuroscience: Cognitive Neuroscience
Maastricht, Netherlands
MSc
DURATION
2 years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
01 Mar 2026
EARLIEST START DATE
Sep 2026
TUITION FEES
EUR 25,100 / per year *
STUDY FORMAT
On-Campus
* institutional fees | €2,695 - statutory fees
Key Summary
You’ll gain in-depth knowledge of human brain function, perception and cognition, paralleled with extensive hands-on training in advanced non-invasive brain imaging (e.g. fMRI, fNIRS, DWI, EEG/MEG) and brain stimulation (TMS, tDCS) techniques.
In the Cognitive Neuroscience specialisation, you acquire a unique combination of in-depth knowledge on human brain function, perception and cognition, paralleled with an extensive and hands-on training for using the most advanced non-invasive brain imaging (including fMRI, fNIRS, DWI, EEG/MEG) and brain stimulation (TMS, tDCS) techniques. The obtained knowledge and skills provide an excellent background to flexibly apply these techniques in fundamental as well as applied and clinical research settings.
This teaching programme covers relevant topics of Cognitive Neuroscience and reflects the research expertise of the ‘Cognitive Neuroscience’ group at the Maastricht Brain Imaging Centre (M-BIC). By addressing key issues in perceptual and cognitive brain research, you will build a detailed understanding of how the ‘working’ brain perceives, feels, moves, learns and creates a conscious mind. Specific course topics include auditory and visual perception, attention, language, sensorimotor functions, learning and memory, as well as brain connectivity and connectomics and neuroimaging in disorders of consciousness.
Moreover, you learn to translate this knowledge into empirical research by extensive hands-on training in all aspects of the experimental cycle, including experimental design, recording and manipulating brain activation, and advanced data analysis. Methods that you will learn to apply include (f)MRI, fNIRS, DWI, TMS, tDCS, EEG/MEG, as well as data analysis in Matlab, EEGLAB, Brainvoyager and Turbo-BrainVoyager (neurofeedback).
Internships
Thanks to the local research infrastructure as well as an exceptionally rich international network, you have ample opportunities for internships in cognitive neuroscience and related fields in our centre and at top universities throughout the world (including Cambridge, Harvard, NIH, Stanford, University College London). Internship research topics range from fundamental brain research (e.g. neural basis of perceptual learning, layer-specific attention effects in visual cortex at 7T fMRI) and applications of advanced neuroimaging methods (e.g. brain-computer interfaces, multi-modal imaging) to clinical research (e.g. tDCS-based alleviation of phantom pain, neurofeedback training in Parkinson patients). We will help you find a topic and location that best fit your own interests and career goals.
Teaching Staff and Research Environment
The Cognitive Neuroscience teaching staff consists of an international and multidisciplinary team of researchers, including psychologists, biologists, physicians, engineers, physicists, and computer scientists affiliated with the M-BIC and Department of Cognitive Neuroscience at the Faculty of Psychology and Neuroscience.
The M-BIC offers a unique research infrastructure with (ultra) high field imaging facilities (3T, 7T) and one of only five 9.4T systems worldwide, as well as fully equipped EEG, fNIRS and TMS/tDCS laboratories. Research is organised around perceptual, cognitive and methodological themes as described on the M-BIC website. Examples of applied/clinical research projects include fMRI-based neurofeedback therapy (e.g. depression, spider phobia), brain-based communication in locked-in patients, TMS/tDCS-guided brain recovery after stroke or brain injury, brain-based assessment of dyslexia intervention, tinnitus remediation and hearing-aid applications.
First Year
- Applied Statistics I
- EEG and ERP
- Auditory and Higher Order Language Processing
- Perception and Attention
- fMRI
- Neuroimaging: Functional MRI
- Sensorimotor Processing
- Colloquia
- Neuroanatomy
- Noninvasive Brain Stimulation (NIBS)
- Programming in MATLAB Basic Course
- Methods of Deactivation
- Applied Statistics II: A
- Applied Statistics II: B
- Applied Statistics II: C
- Advanced fMRI
- Diffusion Weighted Imaging and Fibre Tracking
- Real-Time fMRI and Neurofeedback
- Brain Connectivity and Connectomics
- Basic Mathematical Methods
- Timing Neural Processing with EEG and MEG
- Translational Neuroscience: Towards Clinical Applications for Disorders of Consciousness
- Research Grant Writing Workshop
Second Year
- Research Grant Writing Course
- The Brain's Engram: Memorising Experiences and Experiencing Memory
- Programming in Matlab Advanced Course
- Signal Analysis
Research Internship
- Research Proposal
- Master Thesis Research Project Graded
- Master Thesis Research Project Ungraded
Thesis
- Master's Thesis
- Optimal preparation for a PhD degree in Cognitive Neuroscience
- Work in scientific research, teaching and policy making
- At institutions like, e.g. universities, research institutes, consultancies
Will it fit you?
- How do we see, hear, move, feel and think?
- How can we map our brain with advanced imaging techniques?
- How can we use brain stimulation to improve our brain health?
The research master Cognitive and Clinical Neuroscience is primarily designed to prepare students for a scientific career, in which pursuing a PhD is usually the next step. On average, more than 90% of our graduates find their desired job or training position within 3-6 months after graduation. The majority embark on PhD projects at top universities or research institutes. The others pursue further training or are employed in education, funding agencies or industry.
The programme also provides you with a solid background for careers in a variety of settings, such as:
- scientific research, teaching and policy functions at the university
- scientific research and policy functions in research institutes
- data analyst or consultancy functions
- educational and mental health institutions
- medical technology industry
- government and funding agencies


