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Data science meets economics


Closer to cooking lessons than to traditional lectures

The masterclass is typically taught over five consecutive days, alternating between theory blocks and coding blocks; followed by advanced lectures later in the semester to build up theoretical knowledge. These classes are very demanding, but the learning rewards are also very high. Students are expected to write their own code, and the teaching staff will ensure that it is operational at the end of the day. Against the trend of 'massively open online courses' (MOOCS), these classes place instead a particular emphasis on personal interactions between teaching staff and students, and are closer to cooking lessons than to traditional lectures. These series are experiencing growing popularity and draw graduate students across various disciplines and universities around the world.

An immersive experience at the interaction between mathematics, economics and computation. 

Designed using several innovative tools including the condensed format, the mix of theoretical, computational and empirical components, and the emphasis on coding. The classes focus on the acquisition of an operational knowledge: throughout the week, students will learn the mathematical structures, the economic models, and how to code them in practice.

Cutting-edge tools for tomorrow's research

The intersection between economics, mathematics and computation is coming back as a major area of current research. There are at least two reasons for this. The first one is the emergence of online platforms, which act as central planners and need to solve complex computational problems such as matching service providers with customers, introducing potential dating partners, performing dynamic pricing tasks, etc. The second reason is that econometric methods have been cross-fertilized by novel techniques from machine learning, that heavily rely on computational tools.

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