About MIAW
The first postgraduate program structured by phases of the design process — not by tools.
What is MIAW?
MIAW (Master In Intelligent Artificial Worlds) is a worldwide postgraduate program for architects, software developers, solution architects, designers, engineers, platform architects, technical architects, interior designers, and landscape designers who want to integrate AI into every phase of their design process.
It is not a course about AI tools. It is a program about how architectural practice changes when AI is integrated in every phase — from site analysis to documentation, from concept to fabrication.
Why This, Why Now
The Architecture, Engineering, and Construction sector is undergoing its largest transformation since the introduction of CAD in the 1980s. Unlike previous software waves, AI is not just changing how AEC professionals work — it is redefining what is possible to design and build. This is not a course about AI tools. It is a program about how architectural practice changes when AI is integrated in every phase of the design process — from site analysis to documentation, from concept to fabrication.
The Gap MIAW Closes
There are thousands of architects who want to build AI tools. There are thousands of AI engineers who want to work on physical systems. Almost no one has both. MIAW closes that gap.
What Makes It Different
- ✦ Structured by phases of the design process, not by tools
- ✦ The student's real project is the working material, not fictional case studies
- ✦ Each module produces a deliverable directly useful for professional practice
- ✦ Entry point to MIAW Advanced for profiles who want to continue in applied research
Research Focus Areas
Spatial AI and scene understanding for built environments
Generative systems with architectural and structural constraints
Human-AI collaboration in design workflows
Autonomous agents for construction management
Sustainable design optimization via AI
Key Technologies
The AEC sector is being reshaped by a convergence of technologies that MIAW teaches in depth:
- Large Language Models for design reasoning and documentation
- Diffusion models for generative design
- NeRF / Gaussian Splatting for 3D scene reconstruction
- Reinforcement learning for construction robot control
- Graph neural networks for structural analysis
- Computer vision for site safety and progress monitoring
- MCP (Model Context Protocol) — connecting language models to AEC tools, files, and databases
- Parametric design systems co-developed with AI
Program Outcomes
- Portfolio of real projects using AI across every phase of architectural practice
- Network of international AEC + AI professionals
- Access to MIAW's ongoing research community
- Entry point to MIAW Advanced for research-oriented profiles
Who Is MIAW For?
You need either: professional experience in AEC (architecture, engineering, construction) with curiosity about AI, or a software/AI background with interest in physical world applications. The program bridges both worlds. You do not need both — MIAW exists precisely because almost no one has both.
Basic Python is strongly recommended. The program teaches what you need within it, but arriving with Python fundamentals (functions, loops, basic libraries) lets you focus on the domain, not syntax.
Format & Delivery
Schedule
18 weeks at 8–10 hours per week — designed for working professionals, compatible with active practice.
Language
English. All materials, sessions, and deliverables are in English.
Mode
Online-first. Optional in-person intensive sessions per cohort (strongly recommended).
Cohort size
Maximum 30 participants — kept small intentionally to maintain quality and mentorship depth.
First cohort
Targeting Q4 2026. Exact date depends on cohort composition and faculty availability.
Ready to learn more?
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