Skip to main content Start main content

Master of Science in AI for Architectural and Habitat Design

02_UG_AS_01_new
(Subject to University approval)

Curriculum

To receive the award from this programme, students must complete a total of 31 credits, comprising 18 credits from core subjects, 12 credits from their selected route (either Dissertation or Non-Dissertation), and 1 credit from Academic Integrity and Ethics (AIE) subject.

 

  1. Dissertation route: Student must enroll both “Research Methods in Intelligent Habitat and Spatial Design” & “Dissertation (9 credits)”. 

  2. Non-dissertation route: Student must enroll “Integrated Project in Intelligent Habitat and Spatial Design” & its pre-requisites, and select 1 Elective Subject of their choice.

 

** As University’s guideline of graduation requirement clearly states for taught postgraduate programmes, students must complete 3-hours e-learning lecture titled “Understanding China and the Hong Kong Special Administrative Region, P.R.C.”, plus 3 hours of self-study on National Education, and one Academic Integrity and Ethics (AIE) subject (1 credit).

 

Compulsory Subjects for both dissertation and non-dissertation routes::

  • AI, Ecology, and the Future of the Built Environment
  • Spatial Simulation and Visualisation
  • Urban Analytics with Big Data and Geospatial Artificial Intelligence
  • AI-Driven Spatial Design: Data Modelling and Spatial Analytics
  • Machine Learning and Data Mining for Construction
  • Design for Change

    Dissertation and its pre-requisite::

  • Research Methods in Intelligent Habitat and Spatial Design
  • Dissertation

    Integrated Project and its pre-requisites: :

  • Design with AI: Sustainable and Climate Resilience Cities
  • 3D Printing in Construction: Principles and Applications
  • Integrated Project in Intelligent Habitat and Spatial Design

    Recommended Elective Subject for non-dissertation route: :

  • Engineering Intelligent Buildings
  • Advanced Visualization and Interactive Technologies for Construction
  • Urban Planning and Urban Design
  • Research Methods in Intelligent Habitat and Spatial Design
  • Spatial Data Visualization and Modelling
  • Spatial Data Analysis and Mining

Your browser is not the latest version. If you continue to browse our website, Some pages may not function properly.

You are recommended to upgrade to a newer version or switch to a different browser. A list of the web browsers that we support can be found here