Bac+5 Master Big Data & Data Science en Finance.

Big Data & Data Science for Finance — school-awarded Master's-level programme (Bac+5)

The Master Big Data & Data Science en Finance is a Bac+5-level qualification preparing students for careers in the Finance & Banking sector. The programme is delivered at Enerlab Academy in Asnières-sur-Seine, 15 minutes from central Paris.

LevelBac+5

Duration2 years

FormatWork-study · Initial

Volume1 400 h

RecognitionState diploma

Programme overview

Over two years, through work-study (apprenticeship or professionalisation contract) or initial training, the curriculum combines lectures, hands-on workshops, and in-company placements/projects. Work-study arrangements are fully funded by the employer (OPCO), with a minimum statutory monthly salary guaranteed.

Upon completion, graduates enter the job market quickly thanks to Enerlab Academy's network of over 500 partner companies in the Île-de-France region, or go on to pursue higher education.

Programme objectives

Goals of the programme:

Master Big Data technologies applied to finance
Develop predictive models for financial markets
Analyse large-scale financial datasets
Implement algorithmic trading strategies
Manage financial risk using AI and machine learning

Admission & prerequisites

Required prerequisites and selection procedure:

Bac+3 in Finance, Computer Science, Mathematics or Statistics
Admission by application and technical assessments
Motivational interview
Basic programming skills required

Detailed programme

Detailed teaching content:

Module	Year 1	Year 2	Coef.
Python avancé pour la finance	4h/semaine	3h/semaine	5
Machine Learning et Deep Learning	3h/semaine	4h/semaine	5
Bases de données et Big Data (Hadoop, Spark)	3h/semaine	3h/semaine	4
Statistiques et probabilités appliquées	3h/semaine	2h/semaine	3
Marchés financiers et produits dérivés	3h/semaine	2h/semaine	3
Algorithmic Trading et stratégies quantitatives	2h/semaine	4h/semaine	4
Traitement du langage naturel (NLP) appliqué	2h/semaine	3h/semaine	3
Cloud computing et DevOps (AWS, GCP)	2h/semaine	3h/semaine	3
Risk Management quantitatif	2h/semaine	3h/semaine	4
Projet de recherche et mémoire	2h/semaine	3h/semaine	4

Skills acquired

Operational skills developed:

Career outcomes

Direct access to qualified positions on the market.

Finance Data Scientist Quantitative Analyst Risk Data Analyst Algorithmic Trading Developer Financial Data Engineer AI Finance Specialist

Salaries & sectors

Average gross annual salary

Junior (0–2 years)

43 700 – 51 749 € / year

Experienced (3–5 years)

51 749 – 69 000 € / year

Senior (5+ years)

80 500 – 126 499 € / year

Sources: APEC, France Travail, INSEE 2024 — gross annual salaries in Île-de-France.

Hiring sectors

Retail banking (BNP, SG, LCL, Crédit Agricole)

Private banking & wealth management

Investment banking (front, back, middle office)

Audit & accounting firms (Big 4)

Corporate finance (CFO, controller)

Insurance companies & brokerage

Asset management firms

Fintech & neobanks (Qonto, Lydia, Revolut)

Sessions 2026-2027

Fall intake

September 2026 start

Applications until 30 Sept 2026 · late entry until 30 Nov 2026

Winter intake

18 January 2027 start

Enrolments until 31 Jan 2027 (or until seats fill) · late entry until 28 Feb 2027

Bac+5 Master Big Data & Data Science en Finance.