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Program Overview

The MScT AI MaQI is a unique programme combining know-how in financial markets and in artificial intelligence. Students following this program will learn how to combine machine learning and quantitative finance to find new solutions to the problems of the industry in interacting with markets and in building systematic investment strategies. They will become experts capable of implementing innovative learning-based solutions for applications in financial markets. This programme offers practical training with projects, internships and hackathons to prepare students for the real needs of industry with an emphasis on financial know-how, understanding of learning algorithms, and getting familiar with new kinds of data like satellite images or maritime traffic for investment and risk management. 

A programme that blends finance and AI: Each course combines machine learning and finance, focusing on applying ML to real financial problems and showing how finance benefits from AI.

For a new type of student: It targets those passionate about both AI and finance, eager to understand how things work as well as practical applications—students who might not choose traditional quantitative finance programs.

Meeting industry demand: Banks, asset managers, and hedge funds are creating ML/AI labs and seek quants with combined expertise in market finance and machine learning.

Picto-PROGRAM-Diplome
Master's Degree
Picto-PROGRAM-Multidisciplinary
Industry-Oriented
Picto-PROGRAM-Start
September
Picto-PROGRAM-duree
2 Years
Picto-PROGRAM-langues
Taught in English
Picto-PROGRAM-Location
In France
Picto-PROGRAM-Credits
140 ECTS
Picto-PROGRAM-carte bleue
up to €19,000 Per Year

Admissions Prerequisites

  • A solid background in mathematics and statistics
  • Knowledge of Python programming
  • Understanding of and interest in quantitative and market finance
  • Interest in machine learning and artificial intelligence

Career Paths

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After graduating from the MSc in "AI MaQI", students will be well-equipped to pursue a variety of career paths:

  • In the "AI Lab" or "Data Science Lab" or a bank, an asset manager, a hedge fund or any other financial institution
  • Be the "AI expert" of a team of quantitative analysts, "quants", or "strats"
  • Lead the projects for financial markets of a startup 

It is perfectly possible to pursue a PhD after this program, especially in partnership with a financial institution.