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AI2 Lab

RNCP Level 7 title · Qualiopi certified

Master in Artificial Intelligence & Data Science

AI2's Master in Artificial Intelligence is a two-year Bac+5 programme, M1 then M2, registered at RNCP level 7 and recognized by the French state. This AI and data science master trains Data Scientists, AI Engineers, Data Engineers and Data Analysts: a common core in M1, 4 specialization tracks in M2. Take it as work-study (EUR 0 tuition, paid salary), as a standard programme or as the Fast Track M2 Data Scientist, on the Paris campus or 100% online. Intakes in January 2027, then September 2027.

Apply — January 2027 intake Get the brochure

Duration

2 years (M1 + M2)

Degree

RNCP 7 · Bac+5

Tuition

From EUR 7,500/yr · 0 work-study

Format

Paris 16th or online

Programme structure

A two-year AI Master: M1 common core, M2 specialization

The Master in AI & Data Science runs over two 12-month years. M1 gives every student the same foundations — statistics, programming, machine learning, deep learning, cloud — then M2 specializes you in one of the four main data and AI jobs. You can join in M1 with a Bac+3, or directly in M2 with a Bac+4.

M1 — Data Science & AI common core

Bac+3 entry · 12 months · work-study possible from the end of M1

  • Advanced statistics & probability
  • Python, R and SQL for data science
  • Supervised & unsupervised machine learning
  • Deep learning & neural networks
  • NLP & natural language processing
  • Cloud computing & infrastructure (AWS, GCP)
  • DevOps fundamentals (Docker, CI/CD)
  • Data visualization & storytelling
  • AI ethics & GDPR
  • Integrated data science project

M2 — 4 specialization tracks

Bac+4 entry · 12 months · RNCP level 7 title

  • M2 Data Scientist — Data Scientist
  • M2 AI Engineering — AI / Machine Learning Engineer
  • M2 Data Engineer — Data Engineer
  • M2 Data Analyst — Data Analyst

M2 goes deep into the techniques of your target job and ends with an applied research thesis and a company project, defended before a professional jury. Throughout the programme you use the platforms found in industry: DataCamp, IBM SkillsBuild, Kaggle, Hugging Face, GitHub Student Pack, Google Colab.

See the M2 Data Science & AI core

M2 tracks

The 4 M2 majors: Data Scientist, AI Engineering, Data Engineer, Data Analyst

Each major has its own detailed page: a “Master” page presenting the job and a full module-by-module curriculum. The M2 Data Scientist is the flagship major and the equivalent of what is usually called a data science master.

M2 Data Scientist

The Data Scientist turns data into decisions: predictive models (churn, scoring, demand forecasting), experimentation, and increasingly the company's generative AI applications.

  • Advanced statistical modeling & experimentation (A/B testing)
  • Supervised and unsupervised machine learning (scikit-learn, XGBoost)
  • Deep learning (PyTorch): vision, NLP, time series
  • LLMs & generative AI: fine-tuning, RAG, evaluation
  • Results communication & data storytelling

Target roles: Data Scientist, Lead Data Scientist, ML Engineer, AI Research Engineer

Master in Data Science Full curriculum

M2 AI Engineering

The AI Engineer industrializes AI: turning prototypes into reliable production systems — LLM applications, recommendation engines, real-time AI. The job that exploded with generative AI.

  • MLOps: model CI/CD, monitoring, feature stores
  • Production RAG architectures and AI agents
  • GPU cloud deployment (AWS, GCP) & inference optimization
  • LLM fine-tuning and evaluation (LoRA, benchmarks)
  • Robust software engineering: APIs, Docker, Kubernetes

Target roles: AI Engineer, ML Engineer, MLOps Engineer, embedded AI engineer

Master in AI Engineering Full curriculum

M2 Data Engineer

The Data Engineer builds the foundations: pipelines that collect, transform and secure company data. Without them, no data science and no AI — the most shortage-hit profile of the data market.

  • Large-scale data pipelines (Spark, Airflow)
  • Data warehouse & lakehouse (BigQuery, Snowflake, Databricks)
  • Real-time streaming (Kafka) & event-driven architectures
  • Cloud & infrastructure as code (AWS, GCP, Terraform)
  • Data quality, governance and observability

Target roles: Data Engineer, Cloud Architect, Platform Engineer, DevOps Engineer

Master in Data Engineering Full curriculum

M2 Data Analyst

The Data Analyst translates data into business: steering dashboards, product and marketing performance analysis, and reliable numbers behind every decision.

  • Advanced SQL & analytics engineering (dbt)
  • Expert data visualization (Power BI, Tableau, Looker)
  • Product analytics & business metrics (retention, funnel, LTV)
  • Applied statistics & hypothesis testing
  • Executive reporting: dashboards & data storytelling

Target roles: Data Analyst, Business Intelligence Manager, data & analytics consultant, data project manager

Master in Data Analytics Full curriculum

Option · Bac+4 · No work-study

Fast Track M2 Data Scientist: the Master's in 10 months

Already hold a Bac+4 (M1, engineering school, AI2 M1) and don't want to look for a work-study company? The Fast Track condenses the M2 Data Scientist into 10 intensive months, for EUR 10,000. You earn the same RNCP level 7 title, on the Paris campus or 100% online, starting January 2027.

The standard M2 lasts 12 months, as work-study or as a standard programme.

Duration

10 months

Price

€10,000

Entry

Bac+4

Discover the Fast Track

The 10 Fast Track modules

  • Advanced machine learning
  • Deep learning
  • NLP & text mining (Transformers, RAG)
  • Computer vision
  • Time series & forecasting
  • Reinforcement learning
  • MLOps & deployment (MLflow, Docker, CI/CD)
  • Big data & Spark
  • Bayesian statistics & causality
  • Capstone project & applied thesis

Work-study

AI Master as work-study: EUR 0 tuition and a salary

Work-study is the best way to fund an AI Master's. Under an apprenticeship or professionalization contract, the company covers tuition through its OPCO: you pay nothing and earn a monthly salary according to the legal scale (age and degree level).

3 weeks company / 1 week school

A rhythm that lets you take on real responsibilities at work while following the full curriculum.

Full M2, from the end of M1

M2 can be taken entirely as work-study, and the contract can be signed from the end of M1 (second semester).

Supported company search

CV preparation, interview simulations and introductions to companies — including for the January intake.

Work-study is also compatible with the online format for residents of France: you work at your company and attend live classes online. Read the AI work-study guide

2026-2027 tuition

AI Master tuition and funding

M1 — AI & Data Science Master

Bac+3 entry · 12 months

EUR 7,500/yr

EUR 0 with work-study (possible from the end of M1)

M2 — 4 specialization tracks

Bac+4 entry · 12 months · RNCP 7

EUR 8,000-9,000/yr

EUR 0 with work-study (full M2)

Fast Track M2 Data Scientist

Bac+4 entry · 10 months · RNCP 7

€10,000

Intensive programme, no work-study

Fee-free instalments, no application fee. Tuition includes access to cloud and GPU platforms, certifications taken during the programme and career and work-study support.

As a standard programme, the M2 Data Scientist includes a 6-month company internship in the second semester. Tuition is the same on the Paris campus and online — the online format does, however, save housing and travel costs.

All AI2 tuition and funding options →

Admission

M1 (Bac+3) or M2 (Bac+4) admission — answer within 48h

Admission is off-platform, without Parcoursup or Mon Master. M1 is open to holders of a 3-year degree: Bachelor, BUT, CS, mathematics, MIASHS or economics licence. Direct M2 entry requires a 4-year degree (M1, engineering school) with programming and statistics basics; this is also the Fast Track prerequisite.

1

Online application

5 minutes — simple file, no fees.

2

Technical test

Online MCQ: logic, Python, statistics.

3

Interview

30 min with the academic team (remote OK).

4

Answer within 48h

Confirmed admission + work-study support.

Submit my application Open days

Format & calendar

In Paris or 100% online — January 2027 intake

Paris campus

21 avenue du Président Wilson, 75116 Paris. On-site classes, team work, career events and defenses on campus.

Online AI Master

Synchronous e-learning: live classes, team projects, remote defenses. Same content, same degree as in Paris, no visa or relocation. The online AI Master

Two intakes per year

Next intake: January 2027, then September 2027. Applications are open now.

Living outside Paris? The online AI Master from:

AI Master LyonAI Master BordeauxAI Master ToulouseAI Master Brussels

Career outcomes

Jobs and salaries after an AI Master

Market ranges, gross per year, observed in the Paris region — sources: APEC, Hays 2026. These are benchmarks for the target jobs, not AI2 graduate placement statistics.

Data Scientist

45 – 55 k€

gross/yr junior

70 – 100 k€ after 5 years

AI / Machine Learning Engineer

50 – 65 k€

gross/yr junior

80 – 120 k€ after 5 years

Data Engineer

48 – 60 k€

gross/yr junior

75 – 110 k€ after 5 years

Data Analyst

38 – 48 k€

gross/yr junior

55 – 75 k€ after 5 years

For generative-AI-focused AI Engineer roles, observed junior ranges reach EUR 55-70k gross/yr (APEC, Hays 2026). Employers range from banks and scale-ups to consultancies, industrial groups and AI labs.

Comparison

RNCP Mastère, university Master or MSc: what are the differences?

Searching for an “AI master” or a “data science master” brings up three kinds of Bac+5 programmes that work differently. Here are the core differences, without any ranking.

RNCP Mastère (AI2)University MasterMSc
NatureCertified title registered at RNCP level 7 by France CompétencesNational master's diploma (master's degree, 120 ECTS credits)School label, often an English-taught programme; some carry a Conférence des grandes écoles label
RecognitionState-recognized at level 7 (Bac+5)State diploma at level 7 (Bac+5)Varies: check each programme (RNCP registration or state approval)
AdmissionOff-platform, year-round: application, test, interview, answer within 48hM1 through the national Mon Master platform, on a fixed calendarApplication-based, according to each school's rules
TeachingCareer-oriented: real-data projects, instructors working in techMore academic, with research or professional tracksVaries by school, often internationally oriented
Work-studyFull M2 as work-study, possible from the end of M1Offered by some programmes onlyDepends on the school

In practice, the RNCP Mastère suits you if you target a specific job quickly, as work-study or online; the university Master if you are considering a PhD or a research path; the MSc if you want an English-taught programme — after checking its recognition.

Free webinar · Thursday, November 19, 2026 · 7 PM (Paris)

Data & AI careers: joining AI2 in January 2027

Free 1-hour live session: Data & AI careers, January 2027 intake, work-study at €0, funding. Live Q&A, replay sent to every registrant.

Save my free seat

FAQ

Frequently asked questions — AI Master

What is AI2's Master in Artificial Intelligence?

A 2-year programme (M1 + M2) preparing for data and AI roles: Data Scientist, AI / ML Engineer, Data Engineer, Data Analyst. The degree is a title registered at RNCP level 7 and recognized by the French state. M1 builds a common core, M2 offers 4 specialization tracks.

University Master or Mastère: what is the difference?

A Master is a national diploma awarded by universities; a Mastère is a school title registered at RNCP. Both are level 7 (Bac+5) and state-recognized. AI2's Mastère focuses on real-project teaching, instructors working in tech, work-study support and off-platform admission.

Is the AI Master a data science master?

Yes, the programme covers data science end to end: statistics, machine learning, deep learning, NLP and generative AI. The M2 Data Scientist track is what is usually called a data science master, and the Data Engineer and Data Analyst tracks cover the other data roles.

How much does the AI Master cost?

Standard tuition is EUR 7,500/yr for M1 and EUR 8,000-9,000/yr for M2, payable in fee-free instalments, with no application fee. With work-study, tuition is EUR 0: it is funded by the company's OPCO and you earn a salary. The Fast Track M2 Data Scientist costs EUR 10,000 for 10 months.

Can I do the AI Master as work-study?

Yes. The full M2 can be taken as work-study, and work-study is possible from the end of M1, with a 3-weeks-company / 1-week-school rhythm. Tuition is then funded by the company via its OPCO and you are paid according to the legal scale. The AI2 team supports your company search.

What is the Fast Track M2 Data Scientist?

The M2 Data Scientist condensed into 10 intensive months, for EUR 10,000, without work-study. It is for Bac+4 graduates who want a Master's-level degree and a data scientist job quickly, without looking for a work-study company. Same RNCP level 7 title, in Paris or 100% online.

What are the prerequisites?

M1 entry requires a 3-year degree (Bachelor, BUT, CS/maths/economics licence). Direct M2 entry requires a 4-year degree (M1, engineering school) with programming and statistics basics. Admission is based on an application, an online technical test and an interview, with an answer within 48h.

Can I take the AI Master online?

Yes. The programme runs either on the Paris campus (21 avenue du Président Wilson, 75116) or 100% online through synchronous e-learning: live classes, team projects, remote defenses. Content and degree are identical in both formats.

When is the next intake?

The next intake is in January 2027, followed by September 2027. Applications are open: the online application takes 5 minutes and you get an answer within 48h.

What salary after the AI Master?

On the market, junior ranges observed in the Paris region are EUR 45-55k gross/yr for a Data Scientist, 50-65k for an AI / ML Engineer, 48-60k for a Data Engineer and 38-48k for a Data Analyst (APEC, Hays 2026). These are market figures, not AI2 placement statistics.

Go further

→ Online AI Master→ Fast Track M2 Data Scientist→ Cost & funding→ AI work-study guide→ Brochure→ Apply to the AI Master→ AI Bachelor→ International students

Campus in Paris (21 avenue du Président Wilson, 75116) or 100% online through synchronous e-learning.

Become an AI professional with AI2 — Paris

Bachelor (RNCP 6) and Master's (RNCP 7) in Artificial Intelligence & Data Science. Work-study, CPF and company funding available. Applications open for the January 2027 intake.

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