MSc in Financial Technology and Data Science at ENSIIE

Two-year Master of Science accredited by the Conférence des Grandes Écoles, taught entirely in English. It combines quantitative finance, artificial intelligence, blockchain and advanced computing, bridging traditional financial modelling and modern digital technologies.

Faculty: ENSIIE  |  Duration: 2 years (4 semesters, 125 ECTS)  |  Study mode: full-time (English)  |  Intake: September  |  Location: Évry-Courcouronnes, Île-de-France, France

What you will study

95 ECTS of courses, a 15 ECTS internship and a 15 ECTS Master's thesis. Semester 1: stochastic processes, data analysis, advanced C++, operations research, functional analysis. Semester 2: statistical modelling, big data, machine learning, financial instruments. Semester 3: financial risks, trustworthy AI, green computing. Semester 4: blockchain, crypto-markets or low latency, then internship and thesis. Pathways: PMF, SDS, ORQ.

Career pathways

FinTech engineer, blockchain developer, financial data scientist, quant analyst, AI and machine learning specialist, technology risk manager.

Official programme page