Master of Science in Architecture - Health and Design New York Institute of Technology - New York City Campus, USA

Explore opportunities for innovation in architecture and design with a focus on health and wellness. Integrate emerging technologies and bridge scientific knowledge to bring new perspectives to designing environments for a better quality of life. Experiment with computational design, prototyping, augmented and intelligent materials, or environmental systems and develop the spatial futures for treatment and convalescence, rethinking how design and building impact humans.
The Master of Science in Architecture, Health and Design (M.S.AHD) program is a two-semester (plus summer term), 30-credit, post-professional master's degree. We welcome applications from graduates with a background in architecture and design, including healthcare design, interior design, industrial design, product design, etc., as well as those with interest and expertise in design technologies (simulation, visualization, robotic interactions, and fabrication, etc.), computational design, and new materials.

Our coordinated curriculum of design studios, labs, and core and elective courses is threaded with a renovated research-oriented approach to health and design. You'll explore methodologies that include prototyping at the scale of product and industrial design, the performative qualities of interior spaces, the exploration of material innovations, and the organizational diagrams of larger healthcare institutions. A final studio project in the summer term will synthesize professional, historical, theoretical, social, and material knowledge, and explore a multidisciplinary topic at the intersection of design, technology and the medical/healthcare fields.

Highlights

• Architecture
• Architecturel Design
• Interior Design
• Healthcare Design
• Computation and Fabriacation
• Environmental Design
• Health and Wellness DesignInstitutional Space Planning
• Composite Materials, Responsive Materials
• Biomaterials, Live Materials
• Simulation, Big Data, Machine Learning AI
• VR, MR, AR