The Master of Science in Architectural Technologies course at SCI-Arc teaches students computational tools such as AI and automation within architectural practice.

The Master of Science in Architectural Technologies at SCI-Arc is a one-year, three-semester postgraduate programme positioned at the cutting edge of artificial intelligence, platform technologies and design innovation.

It emphasises design strategies that engage emerging computational tools – including AI, automation, sensing and generative systems – to rethink architectural authorship and production in the contemporary world.

Students begin with a core focus on three interrelated territories: sensing/analysis, generative/automation and interface/mediation, building foundational skills through collaborative, AI-driven design projects that respond to real-world conditions. Studios, seminars and workshops explore robotics, intelligent systems and automated fabrication, helping students integrate technical development with architectural research.

Over subsequent semesters, students advance individual research projects that often result in innovative tools, software platforms or design solutions intended for real-world application. This research-driven approach prepares graduates to launch careers in technology, design firms, startups and research environments.

The programme also connects students with experts across technology and architecture, while coursework cultivates skills from coding and AI software development to advanced fabrication.

Alumni go on to work at leading tech companies, design studios and research labs, applying advanced architectural technologies in diverse professional contexts.

School: SCI-Arc
Course: Master of Science in Architectural Technologies
Type: Postgraduate
Location: Los Angeles, USA
Course dates: September 2026 to August 2027
Application deadline: 15 March 2026

Find out more about the course and apply ›

What will I learn during this course?

– Research practices
– Cybernetics and complex systems theory
– Speculative economics
– Generative AI software development
– Robotic fabrication

What are the requirements?

– Bachelor's degree

What facilities and resources are available?

– In-person teaching
– Personal studio space
– Access to SCI-Arc fabrication lab

What career prospects can I expect upon graduating?

Advanced technologies in top companies, research labs and studios around the world.

Who teaches this course?

– Casey Rehm, programme coordinator

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