The Neuroeconomics track teaches you how the brain shapes the decisions people make. This is one of tracks you can opt for in the Master's Business Economics.
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Neuroeconomics is one of the tracks you can opt for in our Master's in Business Economics.
The Neuroeconomics track combines theory and practice. You study neuroscientific concepts and behavioural economics in courses like Brain Organisation and Cognition and Neuroeconomic Methods for Behavioural Scientists. You also work on practical cases and gain hands-on experience. For example, in Neuroeconomic Methods you learn to analyse brain imaging data with SPM software. During your Master's, you connect theory to practice and develop professional skills.
This track gives you a skill set that is genuinely rare — and increasingly in demand. On the technical side, you build hands-on experience with data analysis, econometrics and programming in MATLAB, and you learn to work with advanced neuroscientific methods including fMRI data analysis using SPM. These are not just academic exercises: they are the tools that consultancies, marketing agencies and data science teams are actively looking for. On the softer side, you develop the ability to critically evaluate scientific claims, translate complex brain research into actionable insights, and communicate findings to audiences who may have no neuroscience background at all. That combination — technical depth plus the ability to make it meaningful — is what opens doors at consultancies, marketing agencies and other data-driven organisations, as well as research-oriented careers inside and outside of academia.
The breadth of this track is both its strength and its biggest challenge. From day one, you work across neuroscience, behavioural economics and econometrics simultaneously — each with its own methods and logic. In MATLAB Programming, you learn to code and collect behavioural data from scratch. In Neuroeconomic Methods, you go hands-on with fMRI data using SPM. The learning curve is steep and the pace is demanding. But the programme also offers a lot of support for its students via small-group tutorials, hands-on guidance from experienced programmers and researchers, and close contact with teaching staff. Those who commit to it leave with a combination of skills — neuroscience, data analysis and economic reasoning — that very few graduates anywhere can offer.