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The admissions window for the September 2026 Batch is currently open. Whether you are aiming for the Initial Training track to master core fundamentals or the Apprenticeship track to gain industry experience with zero tuition costs, our team is ready to review your profile. Don’t wait for the technology to evolve—be the one who builds it.
Requirements and Deadlines
AI2 maintains a rigorous, evidence-based selection process to identify candidates with the technical foundation and professional maturity required for a high-level career in Artificial Intelligence. As a practitioner-led institute, we prioritize individuals who demonstrate both academic excellence and a tangible passion for shipping real-world AI systems.
Admissions Requirements
1. Academic Qualifications
- Bachelor’s Degree (Level 6): Applicants must hold a state-recognized degree in a quantitative field (Computer Science, Mathematics, Physics, or Engineering).
- Academic Excellence: A strong academic record, typically represented by a "mention bien" or an international equivalent (CGPA 3.0/4.0 or higher), is expected.
- Master’s Eligibility: Direct entry into our RNCP Level 7 program requires full completion of a 180 ECTS (or equivalent) undergraduate program.
3. English Language Proficiency
- B2 Level Minimum: Proof of proficiency is required for the international track via recognized tests (TOEFL iBT: 80+, IELTS: 6.5+, or Duolingo: 110+).
- Medium of Instruction: Candidates who completed their previous degree entirely in English may request a waiver with an official university letter.
5. Additional Requirements (Program-Specific)
- Technical Portfolio: Submission of a GitHub link or portfolio showcasing personal AI projects, data analysis, or open-source contributions is highly recommended.
- Work Experience: While not mandatory, relevant internships or professional experience in tech will be viewed favorably.
7. Visa Requirements (International Students)
- Campus France: Mandatory processing for students from "Études en France" procedure countries.
- VLS-TS Visa: Support provided for obtaining the Long-Stay Student Visa.
2. Required Documents
- Professional CV: A detailed resume highlighting your academic background, technical skills, and any industry experience.
- Official Transcripts: Certified copies of your higher education transcripts and diploma certificates.
- Identification: A valid National ID or Passport.
- Motivation Letter: A professional statement of purpose detailing your career goals and why you are choosing AI2 for your Master's.
4. Entrance Exam / Interview
- Technical Interview: Shortlisted candidates will participate in a professional interview with the AI2 faculty to assess technical aptitude and logic.
- Professional Maturity: We evaluate your ability to work in a practitioner-led environment and your commitment to shipping real-world AI projects.
6. Financial Requirements
- Funding Roadmap: Applicants should provide a preliminary plan for tuition coverage (Internal Scholarship, Apprenticeship intent, or Personal Funding).
- Proof of Funds: International students must provide documentation for visa purposes showing the ability to cover living costs in France or Belgium.
Apply Deadlines: September 2026 Intake
| Program Track | Admission Session | Applications Open | Application Deadline | Classes Begin |
|---|---|---|---|---|
| Master's - Early Round | Fall 2026 | April 1, 2025 | December 15, 2025 | September 2026 |
| Master's - Regular Round | Fall 2026 | December 16, 2025 | March 30, 2026 | September 2026 |
| Master's - Late Round* | Fall 2026 | April 1, 2026 | June 30, 2026 | September 2026 |
| International Applicants | Fall 2026 | 10 Months Before | 6 Months Before | September 2026 |
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Choosing where to study Artificial Intelligence is one of the most consequential decisions of your career. At AI2, we ensure that financial barriers do not prevent motivated candidates from reaching their full potential. Whether through our comprehensive scholarship programs, the zero-cost apprenticeship track, or flexible, fee-free payment plans, we work with you to build a funding roadmap that makes industry-leading AI education possible for the September 2026 intake. Join a global cohort of engineers and researchers who are not just learning AI—they are shipping it.
