Universitat Internacional de Catalunya - UIC

Master´s Degree in Artificial Intelligence for Architecture & Design

Universitat Internacional de Catalunya - UIC
  • Imparte:
  • Modalidad:
    Presencial en Barcelona
  • Precio:
    Consultar rellenando el formulario
  • Comienzo:
    Consultar rellenando el formulario
  • Lugar:
    Edificios Alfa y Beta Immaculada, 22 Edificios Gamma y Delta Terré, 11-19
    Barcelona 08017
  • Idioma:
    El Master se imparte en Inglés
  • Titulación:
    Master´s Degree in Artificial Intelligence for Architecture & Design


Nowadays, the next step within the Digital Architectural Era has been stepped forward. This first digital era “formal” approach has been discarded to step into new Artificial Intelligent based design methodologies.

In that sense architects are trying to understand and investigate the messy description of nature discarding the 90’s digital aesthetics based on the new AI based possibilities.

With a clearly interdisciplinary approach, the program proposes to deepen in the relationship between Architecture and Computation within the methodological process of design through the study of Artificial Intelligence and its algorithm. Deep Learning (DL), Machine Learning (ML), Multi-Agent System Design (MAS), Person-centered Ambient Intelligence (AAL), Evolutionary Computation (EC), Shape Grammar (SG) or Linear and Logistic Regression (LR) become part of the architectural design from the nano-scale to the territorial scale, both in the data analysis process, Data Mining, as in theoretical discourse as well as in the language consolidation process.

New digital approaches, intelligent system finding based, started to be proposed 10 years ago. The idea of complex systems with intelligent components with emergent behaviors was proposed as the basis for design developments. Design of buildings as dynamical systems based on their continuous variation caused by the intelligence of their components interacting with each other, is proposed as the cause for the emergent properties that will configure in the future architectonic design.


Required level of education: Graduate Degree or Bachelor’s Degree + University Master’s Degree. Approximate credit load: 240 ECTS.


University graduates (with or without work experience) with university studies preferably in Architecture, Urban Planning, Engineering or Design who wish to expand their knowledge regarding the new shift in the Architectural discourse, being trained in Artificial Intelligence and Advanced Algorithmics so the can become computational experts on new technologies.


The main aim of the program is to provide designers with a wide knowledge of the field and to abilitate them to be able to work in transdisciplinar environments in the future.

As Artificial Intelligence is widely affecting all layers of human society and research disciplines it is considered to be of fundamental importance to create a program that will prepare designers for that future situation.

It is proposed a full-time intensive training in Artificial Intelligence techniques applicable to several types of designers’ processes.

One of the main focus of the program structure will be flexibility, allowing the contents to be updated annually depending on the last Artificial Intelligence breakthroughs. According to that idea, it is proposed Research Informed Teaching as the basis for teaching methodologies.


1st Term (Autumn)

Investigating Research
Learning by doing
Theory pill 1
Design by Research Studio 1
Seminar 1
Critical Theories 1

2nd Term (Winter)

Theory pill 2
Design by Research studio 2
Seminar 2
Seminar 3
Critical Theories 2

3rd Semester (Spring)

Theory pill 3
Design by Research studio 3
Critical Theory 3
Design implementation studio


Up to date Architects regarding key concepts on nowadays theoretical/technological debate
Embedded Technologies | Calm Technologies Skills Artificial Intelligence based
Collaborative practise | Inter & Transdisciplinar Architects
Understanding of Research based Design
Research skills development
Holistic training regarding Artificial Intelligence for having competitive architects in future work environments
Understanding rigour and Method Shift on the “traditional” Architectural Practise
Capabilities for managing Interaction-Participation-processing designs

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