The Master of Science in Architecture, Computational Technologies (M.S.ACT) program is a two-semester, 30-credit, post-professional master's degree. The program integrates critical relationships between science and culture, developing new technologies with a focus on the history and theory of representation, robotics, and cybernetics. You'll learn how to apply, research, and develop advancements in computational design, robotic interaction and fabrication, and new materials.
The M.S.ACT program builds up expertise organized as core studios, seminars, and interdisciplinary integrated project-based learning studios in three focus areas (Computational Design, Fabrication and Robotics, and Materials).More
The first semester introduces history, theory, and criticism of systems of representation, robotics, and cybernetics. Through applied research, students will acquire key skills in coding, algorithms, interfaces, programming languages, big data survey processing and simulations, augmented reality, computational modeling, machine learning, and artificial intelligence applied to architecture and ecology. In addition, students will be able to choose an introductory level elective course from any of the three focus areas.
Fabrication and Robotics, and Materials
The second semester focuses on applied research on physical computation, fabrication, and materials, including: programming microcontrollers, robotic interactive responsive systems (survey, sensors, data link), digital fabrication, robotic machine construction systems, and materials simulation, and optimization (new materials, biomaterials, live materials, responsive materials, others).
Acquired knowledge in the program comes through interdisciplinary and transdisciplinary experimental applied research at 1:1 scale, integrating the different concentration areas (Computational Design, Fabrication and Robotics, and Materials) in a full-scale interactive design and prototype at the Long Island campus.
- History/Theory of Systems of Representation
- Science, Technology, Ecology, Architecture
- Computational Design, Programming (Python)
- Big Data, Survey, Simulation, Machine Learning (AI)
- Platforms and Applications Design
- Sensors, Robotic Interaction
- VR, MR, AR
- Robotic Systems Design
- Robotic Fabrication
- Composite and Responsive Materials, BioMaterials
- Materials Design