ENSAE Paris campus

Business

MScT AI for Markets and Quantitative Investment (MaQI) at ENSAE Paris

ENSAE Paris, France

Programme overview

The MScT AI MaQI is a two-year master's specialization, taught in English, that combines financial markets expertise with artificial intelligence. Students learn to apply machine learning and quantitative finance to market interaction and systematic investment strategies. Training is practical, with projects, internships and hackathons, and uses new data types such as satellite images and maritime traffic for investment and risk management.

Duration: 2 years (140 ECTS)  |  Intake: September  |  Study mode: full-time; English  |  Location: Palaiseau, Île-de-France, France

What you will study

Every course combines machine learning and finance, applying ML to concrete financial problems. Emphasis is on financial know-how, understanding of learning algorithms and new kinds of data.

Career pathways

Roles in an AI Lab or Data Science Lab, or in a bank, asset manager, hedge fund or other financial institution; AI expert within a team of quantitative analysts, quants or strats; leading financial-markets projects in a start-up; PhD possible, notably in partnership with a financial institution.

Official programme page

Application information

Entry requirements

Programme prerequisites: a solid background in mathematics or statistics, knowledge of Python programming, interest in quantitative and market finance, and interest in machine learning and artificial intelligence. Application is made through the Ecole Polytechnique programme site (September start).

EUR 19,200 a year. Published as 'up to' EUR 19,200 per year; actual rate may be lower Source

Intake: September

Duration: 2 years (140 ECTS)

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