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3-year programme dedicated to data science and artificial intelligence. RNCP Level 6, Qualiopi certified. Work-study available from year 2. September 2026 intake.
RNCP Niveau 6
State-recognized degree
Qualiopi
Certified institution
Work-study Y2/Y3
OPCO funded
September 2026 intake — Rolling admissions, response within 48h after interview.
Duration
3 years (Sept. 2026 - July 2029)
Format
On-campus — Work-study available in years 2 & 3
Prerequisites
High school diploma or equivalent
Degree
RNCP Level 6 (Bachelor) — Qualiopi certified
Price
7,500 €/year (0 € with work-study Y2/Y3 - OPCO)
Campuses
Paris, Lyon, Bordeaux, Toulouse, Brussels
Work-Study
Available in years 2 & 3 (adapted schedule)
Intake
September 2026 — rolling admissions
THE REALITY
Many undergraduate programmes teach computing theoretically and lag behind the tools actually used in industry. You graduate without a portfolio and without a modern stack.
Data science and AI are among the most sought-after digital careers. Companies want juniors who already know how to code in Python, wrangle data and communicate results.
ChatGPT, Copilot, Hugging Face, RAG, autonomous agents: the landscape evolves at high speed. Continuously training on current tools becomes a real competitive edge.
A 3-year post-secondary programme, 100% specialized in Data Science & AI. Heavy on hands-on practice, real-data projects (open data, open-source), with work-study available from year 2.
100% AI & Data
Specialized from year 1
Real projects
Open data & open-source
RNCP Level 6
State-recognized diploma
Work-study Y2/Y3
OPCO funded
DETAILED CURRICULUM
3 progressive years: fundamentals, deepening, specialization & work-study
Applied Mathematics & Statistics
80hPython — Programming & data structures
100hWeb fundamentals (HTML, CSS, JavaScript)
70hSQL & Relational Databases
60hData Visualization (Matplotlib, Power BI)
50hData culture & pedagogical generative AI
40hYear 1 Total: 400h
pandas, NumPy & advanced wrangling
80hMachine Learning with scikit-learn
90hBusiness Intelligence (Power BI, Tableau)
60hCloud Introduction (AWS, GCP)
50hGit, GitHub & dev best practices
40hDocker & environments — introduction
40hYear 2 Total: 360h
Capstone project — work-study or team
200hDeep Learning (hands-on basics)
60hApplied NLP & generative AI (Hugging Face)
60hAI hackathons & Kaggle competitions
50hAI Ethics, GDPR & data storytelling
40hCareer prep & GitHub portfolio
40hYear 3 Total: 450h
Open data, open-source contributions, Kaggle datasets. No fake academic exercises.
HANDS-ON PRACTICE
The AI2 Bachelor bets on practice from year 1: AI competitions, team projects, work-study in years 2-3.
Regular AI hackathons (24-48h, team-based): you prototype a full solution, from dataset to pitch, coached by industry speakers.
Cross-cohort Kaggle competitions: worldwide datasets, public leaderboards, medals to display on your profile and portfolio.
From year 2, work-study available on an adapted schedule. Tuition funded by OPCO, monthly salary as a work-study employee. You leave with a real first professional experience.
In-house challenges across cohorts and campuses: data viz, prompting, supervised ML. Demo days in front of invited industry speakers.
You leave the Bachelor with a public GitHub packed with 10+ documented projects: notebooks, clean code, READMEs, deployed demos.
Individual follow-up by an AI2 mentor, career and technical coaching, prep for interviews and the years 2-3 work-study search.
INCLUDED PLATFORMS
You do not pay licenses separately — access is included. You collect certifications and digital badges from year 1.
Thousands of guided courses and projects in Python, SQL, ML and data viz. Professional certifications to collect from year 1.
IBM AI, cloud and cybersecurity tracks with verifiable digital badges on Credly.
Datasets, notebooks and worldwide ML competitions. Your ranks and medals feed your portfolio.
Hub of pre-trained models (LLMs, vision, audio). Deploy your own public Spaces from year 2.
GitHub Pro, Copilot, JetBrains, DigitalOcean and ~100 pro tools unlocked with your student email.
Notebooks with free GPU/TPU for your ML and deep learning projects. Google Cloud credits to go further.
Brands mentioned for information. AI2 provides access to the listed platforms; certifications remain the property of the respective vendors.
TECHNICAL STACK
The tools actually used in industry on junior data, BI and dev roles.
Languages
Python, SQL, JavaScript
Data
pandas, NumPy
ML basics
scikit-learn
Web & BI
HTML / CSS / JS, Power BI
Cloud
AWS / GCP (introduction)
Dev tools
Git, GitHub, VS Code, Docker (init)
Generative AI
ChatGPT, Copilot (pedagogical)
Hackathons
Kaggle, notebooks, demo days
SKILLS
CAREER OUTCOMES
Junior roles accessible at Bachelor level, or continue with the Master in Data Science & AI (Bac+5).
Explore, clean and present data to inform business decisions.
Design Power BI or Tableau dashboards and track key KPIs.
Support data scientists with data prep and ML modelling.
Build Python scripts, small web apps and API integrations.
Discover data pipeline engineering and the cloud ecosystem.
Direct pathway to the AI2 M1/M2 in Data Science & AI (RNCP Level 7) via internal entrance exam.
As an AI2 Bachelor graduate, you access the M1 then M2 in Data Science & AI through an internal entrance exam reserved for our students — no external selection round.
Salary benchmarks: check the APEC and Numeum reports.
OUR CAMPUSES
Paris
21 Avenue du Président Wilson, 75116
Lyon
City center, 69000
Bordeaux
City center, 33000
Toulouse
City center, 31000
Bruxelles
City center, 1000
FUNDING
7,500 €/year — 0 € with work-study (years 2 & 3, OPCO)
From year 2, work-study becomes available: your tuition is funded by your company's OPCO and you are paid. We support you in finding your host company.
Use your CPF balance to fund all or part of your training. Simplified process, our team guides you.
Job seekers: fund your career change through the AIF (Individual Training Aid). Eligible under conditions.
Spread the cost over 3, 6 or 10 installments with no extra fees. No credit agency, direct payment to the school.
Merit scholarships, regional grants, housing aid (APL). Our admin team helps you maximize your funding.
ADMISSION PROCESS
Rolling admissions — reply within 48h after the interview.
Fill out the form in 5 minutes. Free, no commitment.
5 minA 30-minute video call with our team. No technical test.
30 min videoYou receive your admission answer by email within 48 hours.
48hFinalize your enrollment and prepare for September 2026.
Sept. 2026FAQ
A validated high school diploma (or equivalent) is required, from any field. No scientific specialization is needed. Admission is based on application and a motivation interview. We prioritize motivation and curiosity over academic background.
Yes, the Bachelor in Data Science & AI is RNCP Level 6 certified, registered with France Competences. It is equivalent to a Bachelor's degree (Bac+3). Our organization is Qualiopi certified.
The price is 7,500 €/year over the 3 years. From year 2, work-study becomes available: your company and its OPCO cover the tuition (0 € for you) and you are paid. Other options: CPF, France Travail, installment payments, scholarships.
No. The programme includes an applied math and statistics refresher from year 1. Motivation, curiosity and willingness to learn matter much more than your initial math level.
Work-study becomes available from year 2 (and continues in year 3): you sign a contract with a company on an adapted schedule (e.g. several weeks in the company, one week at school). Your tuition is funded by OPCO and you receive a monthly salary as a work-study employee.
Two main options: (1) continue with the AI2 Master in Data Science & AI (Master's level, RNCP Level 7) via the direct pathway to M1/M2, accessible through an internal entrance exam reserved for our graduates, or (2) enter the job market on a junior role in data / analytics / BI. For up-to-date salary benchmarks, check the APEC and Numeum reports.
Yes. Team AI hackathons, cross-cohort Kaggle challenges, internal AI2 competitions and demo days punctuate the three years. You work on real data (open data, open-source projects) and present your work to invited industry speakers.
The programme is primarily delivered on-campus at our 5 locations (Paris, Lyon, Bordeaux, Toulouse, Brussels). Some complementary modules are available online for review and deepening.
Campus access includes DataCamp, IBM SkillsBuild, Kaggle, Hugging Face, the GitHub Student Pack (with Copilot) and Google Colab/Cloud. You collect certifications and digital badges from year 1 without paying those licences yourself.
Fill out the form below. Free application, response within 48h after interview.
Program, pricing, campuses, funding — all in one PDF.
Bachelor in Data Science & AI — 3 post-secondary years, RNCP Level 6. September 2026 intake. Free application. Rolling admissions.
Qualiopi certified | RNCP Level 6 | France Competences