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Architecture, Computational Technologies, M.S.

Explore design research at the frontiers of architecture through experimentation in computational design, robotic systems applied to fabrication and interactivity, and materiality. Innovate in design and creatively apply emergent technologies to unconventional spatial investigations resulting in full-scale architectural prototypes and components.

Program Brief

The Master of Science in Architecture, Computational Technologies (M.S.ACT) program is a two-semester (plus summer term), 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 in three terms (Fall, Spring, Summer), organized as core studios and seminars in three focus areas (Computational Design, Fabrication and Robotics, and Materials) and culminating with an interdisciplinary integrated Project-based Learning Studio in the summer term.

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Computational Design
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). In addition, students will be able to choose an advanced level elective course from any of the three focus areas.

Project-based Learning
The third (summer) term integrates the acquired knowledge of the program 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 build prototypes at the Long Island campus.

Highlights

  • 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

Fabrication Labs

Our Fabrication Labs include two new state of the art facilities ($2M IDC Grant: New York City and Long Island) with robotic arms, CNC, 3-D printing, and more; and additional space on Long Island for 1:1 scale projects. Our other labs include the Hive with 3-D scanning, motion capture, VR, MR, AR facilities, and the BEM lab.

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Faculty Work

The Faculty of the program includes internationally recognized professors, researchers and professional experts in Design, Architecture, Urbanism, History, Theory, Computation, Fabrication, Robotics, and Materials.

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Student Work

Students work is composed of three concentration areas, building towards 1:1 scale prototypes, including: Computational Design; Fabrication and Robotics (Robotic Interactivity + Robotic Fabrication); and Materials.

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“Students will discover possible futures for the discipline of architecture by expanding design authorship through innovations in algorithms and interfaces, robotic systems, and new materials. Ultimately, an architecture of information will be activated through transformative spatial conceptions, built ecological architectural prototypes, and interactivity at full virtual and actual scales.”

Pablo Lorenzo-Eiroa, M.Arch II

Director, Architecture, Computational Technologies, M.S. Program

Exceptional experiences.
Outstanding outcomes.

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#8

Top 15 %

#11

Top-Tier Ranking

USNWR Best Colleges/Regional

New York Tech is ranked among the top 50 regional universities in the North. (Best Colleges/US News Regional Universities)

How You’ll Succeed

The Master of Science in Architecture, Computational Design prepares students for success in the field of architecture by providing theoretical and historical knowledge, and advanced design skills and methodologies, as the basis for understanding and shaping the complex relationships between architecture, ecology and computational technologies.

Graduates of the M.S. program may apply for an extended OPT three-year work visa, authorizing them to work in the U.S.

USNWR Best Colleges/Regional

Top-Tier Ranking

New York Tech is ranked among the top 50 regional universities in the North. (Best Colleges/US News Regional Universities)

Do. Make. Innovate.

R-CUBED Symposium & Workshop

April 16, 2021 | 09:00 am - 05:00 pm

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Interdisciplinary Innovation Provides Needed Equipment to Local Hospitals

May 29, 2020

Amid COVID-19, faculty, students, and staff collaborate to arm frontline workers and patients with the necessary personal protective equipment.

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