ENSAE Paris - École d'ingénieurs pour l'économie, la data science, la finance et l'actuariat

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Presentation of ENSAE Paris

En-tête En-tête d'un economics and sociology, statistics and machine learning, finance and actuarial science. The strength and methods and data science algorithms for finance and risk management, and has a solid economic and financial …
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Advanced Masters

disciplines taught (economics, mathematics, statistics, finance, etc.). Although some courses are taught in English, specialties: Actuarial Science, Data Science, Finance and Risk Management and Quantitative Methods for Economic Decision …
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MS Quantitative Methods for Economic Decision Making

with their knowledge of industrial economics and corporate finance to evaluate and optimize the strategies of companies that combine economic analysis, forecasting and asset management. It is therefore possible to move within banks à Python Ethique des données Intégration en MS : les fondations du lien   …
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MS Data Science

to careers as experts as well as to decision-making or management positions in companies. Data scientist domain expertise, in particular in quantitative marketing, finance, economics. Professional conferences for Natural Language Processing Machine learning in finance: Theoretical foundations Online learning and …
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Admission to Advanced Masters

following specialties: Actuarial Science , Data Science , Finance and Risk Management and Quantitative Methods for Economic of origin, you will also need to apply on the Études en France website (formerly Campus France) for the …
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Student associations

En-tête En-tête d'un It also acts as a link between the students and the school management. Finally, the BDE is in contact with its teachings which are given to them at ENSAE (data science, finance, actuarial science). EJE is one of the biggest …
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