Professional Master programmes, founding cohort 2026.
Three tracks, one cohort. Blended delivery over six months, closing with a three-day residency in Valletta.
Format — identical across the three tracks
- Duration
- Six months, February – July 2026 (founding cohort).
- Delivery
- Blended. One 3-hour live online session per week (evening CET) plus guided project work of roughly 5–7 hours per week. Optional office hours with faculty.
- Residency
- Three consecutive days at the Institute's premises in Valletta, in month five: system build, review board with external practitioners, closing seminar.
- Cohort size
- Maximum 25 participants across all three tracks.
- Language
- English.
- Tuition
- €6,900 per participant, VAT excluded, payable in three instalments. Employer invoicing available.
- Capstone
- Each participant deploys a working AI capability against a real operational problem from their own organisation, defended before a review board.
- Assessment
- Continuous: three module assignments and the capstone. No written examinations.
The three tracks
Applied AI for Enterprise Operations
Data foundations for physical and service operations · demand and capacity forecasting · queuing, scheduling and orchestration systems · computer vision in live environments · agent-assisted workflows in support and back office · integration with ERP, ticketing and PMS estates · reliability, cost control and fallback design · governance of automated decisions.
Applied AI for Leadership
The economics of AI investment · build-versus-buy and vendor assessment · data governance and EU regulatory posture (AI Act, GDPR) in operating companies · organisational design for AI teams · change management in unionised and frontline environments · portfolio governance and kill criteria · executive communication of AI risk.
Applied AI for Analytics
Modern data platforms and event-driven architectures · feature and model pipelines in production · experiment design and evaluation of non-deterministic systems · monitoring, drift and incident response for ML services · retrieval and grounding for enterprise generative AI · cost engineering of inference at scale.
Curriculum is reviewed each academic cycle with practising industry partners. MIAAI confers its own professional qualification ("Professional Master", institute designation). It does not claim MFHEA/FEL state-degree accreditation, and no state accreditation is implied.