Laboratoire d'Expérimentation en Sciences Sociales et Analyse des Comportements

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A Data Science track

A Data Science track

You want to be happy? Make a difference? Have a nice and very well paid job? YOU WANT TO MANAGE DATA AND INFLUENCE BEHAVIOR ? This track is for you.


Let us know if you want to meet our former and current happy and brilliant students !


This track is available over the 3 years, is constructed in partnership with PWC Luxembourg and culminates with the MSc in Data Science and Organizational Behavior (https://lessac.bsb-education.com/index.php?page=datascience)




VBA - The course teaches students to think algorithmically and solve problems effectively. Mastering VBA is now a requirement for many careers, particularly in the field of finance. Students will learn the basics of language and create their own functions.
SQL and databases - Databases are at the heart of information systems. Much of the organizations' data is stored in databases. Data managers or specialists must transform this data into actionable knowledge. This course teaches everything you need to extract and manipulate data and to work with these databases.




Behavioral Methods - This course aims at presenting the main economic and behavioral theories of negotiation and auctions, along with practical applications in experimental economic games for organizations. The course will provide the basics: representing games and strategies, the extensive form (which computer scientists call game trees), Bayesian games (modeling things like auctions), repeated and stochastic games, and more. We'll include a variety of examples including classic games and applications to organizations. We study the strategic reasoning of agents involved in bargaining situations and analyze the factors that influence these decisions (rules, order of decisions, impatience, risk attitudes, outside options, etc.). We pay specific attention to the behavioral biases that usually arise in bargaining, such as the winner's curse, over-bidding, emotions, etc.

Game theory (elective) - Game theory is the analysis of situations in which a decision-maker's gain depends not only on his own actions but also on those of others. Game theory has applications in several fields, such as economics, politics, law, biology and computer science.

Data Science - this course is relevant for managers because in their everyday work they are expected to properly and logically collect, present and describe information, to form conclusions about large populations based only on information acquired on limited samples, to obtain good forecasts and to know how to improve managerial processes. Therefore, the structure and the content of this course will be built in order to give them these tools. The class is divided in two parts: - An introduction to R; - Business Intelligence with “Tableau “After this module, the student should be able to understand the purposes and techniques of Business Intelligence , identify relevant sources of information, analyze collected information, and use it in decision-making processes.


MSc Year (3rd YEAR):

To train future leaders and academics in data and behavior management to a high level of expertise in the intersection between management, behavioral tools and data science.
The programme is created to give students programming skills, both by syntax (IT tools) and module (games tools), which is a unique way of teaching the subject.