Artificial intelligence is shaking up every sector, and with it the demand for people able to handle data. Training for these jobs through work-study means learning in a company on real cases while earning a recognised qualification. Here are the courses and career paths for the 2026 intake.
In short: you can train in AI and data through work-study from bac+2 to bac+5 (BTS SIO, BUT in computer science or data science, bachelor, master's, engineering school). The digital market is polarising: data, AI, cloud and cybersecurity profiles remain highly sought after, while more generic roles slow down. In work-study, your pay follows the legal scale (a percentage of the SMIC); after graduation, high-demand jobs pay well.
Why train in AI and data in 2026?
The digital sector counted 666,268 direct jobs at the end of 2025 according to Numeum, after a decade of strong growth. The market, estimated at 72.2 billion euros in 2025, is expected to grow by around 4.3% in 2026. On the executive side, APEC recorded 67,650 IT executive hires in 2025, the leading role in the executive job market.
The picture is not uniform, though. France Travail's Labour Needs survey (April 2026) notes a 12.5% drop in hiring intentions in information and communication. The market is polarising: data, AI, cloud and cybersecurity profiles remain in very high demand, while generalist missions face more pressure. For a work-study student, targeting an in-demand skill maximises your chances of a contract — the same logic as in our analysis of the work-study market in 2026.
AI is not massively destroying digital jobs: it is shifting demand towards more expertise. Data jobs are among those accelerating the fastest.
Which work-study courses for AI and data?
There is no single entry point. Depending on your level, several programmes can be taken as an apprenticeship or professionalisation contract.
| Level | Course | Entry |
|---|---|---|
| Bac+2 | BTS SIO (SLAM option) | After the baccalaureate |
| Bac+3 | BUT in computer science, BUT in data science, professional degree or data bachelor | After the baccalaureate (BUT) or a bac+2 |
| Bac+5 | Master's in AI / data science, specialised master, engineering degree | After a bac+3 |
The BUT in data science and the BUT in computer science are excellent three-year foundations, often offered through work-study from the second year. For the most advanced jobs (data scientist, machine learning engineer), a bac+5 remains the norm. If you are still hesitating between the two main contracts, our comparison of apprenticeship or professionalisation will help you decide.
To find the course that fits your profile, explore our job profiles and the catalogue of work-study courses. The overlap with cybersecurity is strong: if security appeals to you too, read our guide to work-study in cybersecurity.
Which jobs and salaries after work-study?
Work-study in data and AI opens onto concrete jobs:
- Data analyst: collects, cleans and interprets data to inform decisions.
- Data engineer: builds and maintains the pipelines that feed the models — a job cited by APEC among those accelerating strongly.
- Data scientist: designs predictive and statistical models (usually bac+5).
- Machine learning / AI engineer: puts models into production and optimises them.
- Data project manager: leads projects and bridges business and technical teams.
On pay, distinguish two moments. During work-study, your salary depends not on the sector but on the legal scale: a percentage of the SMIC based on your age and your year of contract. Estimate yours with our salary simulator, and to understand the calculation, read understanding your work-study pay. After graduation, levels rise sharply in high-demand jobs, with strong growth prospects.
How to land your work-study contract in data or AI?
The sector hires on its rare profiles, but a contract takes preparation: apply early and widely. May to July concentrates the most offers for a September intake, and you have three months after the start of the course to sign. Check the work-study offers regularly, target IT service firms, start-ups and large groups, and remember to draw on the financial aid (housing, mobility, equipment) that tops up your salary.
Data and AI are solid bets for 2026: in-demand skills, favourable integration and future-proof jobs. Start your search now so you don't miss the intake window.