Diplôme d'ingénieur Data Scientist - Data Science pour l'Économie et la Finance (option économie) at ENSAI

Programme overview

Third-year specialisation in advanced econometrics and applied economics using data science and machine learning to analyse markets and evaluate public policies.

Faculty: Cursus Ingénieur Data Scientist | Duration: 3 years (1st to 3rd year); this is the 3rd-year specialisation | Study mode: full-time; French | Intake: September | Location: Bruz, Bretagne, France

What you will study

Advanced econometrics, applied economics, machine learning for market analysis and policy evaluation.

Career pathways

Economic decision-making roles in the public sector (ministries, statistical institutes, social security bodies) or private sector (research firms, think tanks, research organisations, pharmaceutical laboratories, consultancies).

Official programme page

Application information

Entry requirements

Admission by competitive entrance exams: Concours Mathématiques (MP, MPI, PC, PSI) via CCINP; Concours Économie et sciences sociales (B/L) via the inter-ENS bank; Concours Économie (D2). Admission sur titres for candidates who completed the 2nd or 3rd year of a BUT (Science des données or Informatique), or L3/M1 level (MIASHS, applied mathematics, economics or equivalent abroad), entering 1st or 2nd year depending on prior studies. Dossier-based admission from partner schools (ENSAE Dakar, ENSEA Abidjan, ISSEA Yaoundé, INSEA Rabat, ESSAI Tunis).

Domestic applicants: EUR 2,650 a year. EU/EEA and French students; ENSAI scholarship holders are exempt. CVEC (approx. 100 EUR) is separate and not tuition. Source

International applicants: EUR 4,150 a year. Non-EU/EEA students not meeting the exemption conditions; students joining through partnerships pay the lower rate. Source

Intake: September

Duration: 3 years (1st to 3rd year); this is the 3rd-year specialisation

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