University of Nicosia

Overview

The Computational Design and Digital Fabrication (Distance Learning) programme at the University of Nicosia equips you with the skills to utilize computational methods in design and transform digital models into tangible prototypes. This innovative course combines remote education with two intensive on-site workshops, enhancing your expertise in digital fabrication, robotics, and design research.

What you'll study

The curriculum integrates distance learning with practical workshops, ensuring a comprehensive understanding of computational design principles and fabrication techniques. You will engage in coursework that lays the groundwork for computational design and fabrication workflows, followed by hands-on design projects that incorporate software, prototyping, and assessment.

Core modules (indicative)

• Digital Fabrication
• Theory and Evolution of Computational Design
• Computational Design Processes
• Robotic Fabrication
• Performance Based Design

Applied learning and workshops

• Distance learning: engage in guided study, computational exercises, and the development of design projects.
• On-site intensives: participate in hands-on sessions at the ARC Fab Lab (Nicosia) and the Robotic Lab (REXLAB), Institute for Experimental Architecture (Innsbruck).

Capstone / final project: The programme culminates in a design project that applies computational methods and fabrication principles to produce a research-driven outcome. Please verify the specific final assessment format on the programme website.

Entry requirements

Applicants typically need to demonstrate a strong academic background, often requiring an Upper Second Class degree or its equivalent. Additional documentation may include a CV, portfolio, evidence of English language proficiency, a statement of purpose, references, and an interview.

Career prospects

Graduates of the Computational Design and Digital Fabrication programme are well-prepared for various roles in fields such as architecture, industrial design, and robotics. They are equipped to innovate within the realms of digital fabrication and computational design, making significant contributions to both academic and professional environments.