ACADEMIC APPROACH
Common foundations. Individual progression.
Shared foundation modules and computing platforms support specialist study through grouped technical modules and projects.
Bachelor · 3 years · 180 planned credits
| Component | Credits | Teaching approach |
|---|---|---|
| Common Foundation Modules | 60 | Programming, mathematics, algorithms, databases, systems and technical communication |
| Cross-disciplinary technical modules | 48 | Grouped teaching in AI and data, cloud and software, scientific computing and computer architecture |
| Specialist modules | 42 | Advanced modules within each discipline |
| Integrated projects and capstone | 30 | Shared organisation with discipline-specific supervision and assessment |
Master · 2 years · 120 planned credits
| Component | Credits | Teaching approach |
|---|---|---|
| Common research and engineering modules | 18 | Research design, reproducibility, evaluation, integrity and technical responsibility |
| Advanced technical module pool | 36 | Shared modules selected by discipline and prerequisites |
| Advanced specialist modules | 30 | Advanced methods and specialist research |
| Master’s project, dissertation and defence | 36 | Independent research or engineering project |
Credits describe planned workload and assessment; this structure alone does not imply state recognition. Teaching is in English. Classes start 15 March; applications close 15 February.
Course assessment
| Assessment component | Bachelor | Master |
|---|---|---|
| Assignments, tests or research analysis | 20% | 20% |
| Software laboratories and practical work | 30% | 25% |
| Integrated project and report | 20% | 35% |
| Individual examination or defence | 30% | 20% |
Mathematics modules may place greater weight on examinations; engineering modules may emphasise projects. Weightings are published before teaching begins. A module requires at least 60/100 and successful completion of mandatory practical tasks.
Graduation requirements
- Complete the required modules and credits, including all compulsory modules.
- Complete the final project, report or dissertation and pass an individual defence.
- Document individual contributions to group work. Code and experimental results must be reproducible.
- Follow academic integrity rules and disclose AI tool use as required.
The institute awards an institutional diploma (Diplôme d’établissement) and a transcript listing modules, results, credits and the final project.
Your next step starts here.
Classes start 15 March. Apply by 15 February. Rolling admissions; places are limited. Apply early.