ENSAE Paris campus

STEM

Engineering Degree - Data Science, Statistics and Learning track at ENSAE Paris

ENSAE Paris, France

Programme overview

A track providing fundamental training in statistics, machine learning, data science and artificial intelligence, producing data scientists with a strong mathematical base and openings into finance, insurance and social sciences.

Faculty: Cycle ingénieur  |  Duration: 1 year (third year of the 3-year engineering cycle)  |  Study mode: full-time; French and English  |  Intake: September  |  Location: Palaiseau, Île-de-France, France

What you will study

Required courses include Mathematics of Machine Learning and Algorithm Design and Analysis, with Bayesian statistics or online learning and aggregation; the course list follows the 2026-27 teaching schedule.

Career pathways

Statistical expert and data scientist roles in industry, large technology companies, finance and insurance and start-ups, survey methodologist posts, and research in statistics and machine learning.

Official programme page

Application information

Entry requirements

Admission to the first year is via the Mines-Ponts competition (MP, MPI, PC, PSI streams), the economics and mathematics competition (ECG, banque commune d'épreuves), the inter-ENS social sciences competition (B/L), GEI-UNIV for French L3 holders, or admission on title (university M1, Ecole polytechnique bachelor, double-degree partners); places are also reserved for Ecole polytechnique students and ENS students. International applicants apply via the international recruitment procedure.

Domestic applicants: EUR 3,500 a year (2026-2027). Cycle ingénieur tuition for students starting in 2026-2027; students on social-criteria grants are exempt. CVEC is separate. Source

International applicants: EUR 4,900 a year (2026-2027). Non-European students starting in 2026-2027; students who began earlier pay 4,150 euros (EU: 2,650 euros). CVEC is separate. Source

Intake: September

Duration: 1 year (third year of the 3-year engineering cycle)

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