Master of Science in AI for Architectural and Habitat Design

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Entrance Year 2027

Programme Code 35002

Stream Code

AFM (Full-time)

APM (Part-time)

Mode of Study Mixed Mode

Normal Duration

1 year (Full-time)

2.5 year (Part-time)

Fund Type Self-Financed

Credits Required for Graduation 31

Local Application Deadline 25 Feb 2027 * Early Round: 2026-10-20
Main Round: 2027-02-25

Non-Local Application Deadline 25 Feb 2027 * Early Round: 2026-10-20 Main Round: 2027-02-25

Tuition Fees

HK$ 9,300 per credit for local and non-local students.

Remarks: No tuition fee is required for the 1-credit Academic Integrity and Ethics (AIE) subject.

Entry Scholarships are available.

ARCH reserves the right to change the terms or withdraw the scholarship. In case of any dispute/disagreement, ARCH’s decision is final.

Programme Leader(s)

Ar. Prof. Tris Kee
Registered Architect, Authorized Person (Architect), HKIA, HKIDA, HKICON, HKAC, PhD, M. Arch, B. Arch

Aims and Characteristics

(Subject to University approval)

Overview

This programme is uniquely designed for students from diverse construction backgrounds, enhancing their career trajectories and skill sets with integrated, advanced digital capabilities to tackle complex habitat and spatial challenges. Through a structured curriculum, students will acquire cutting-edge knowledge and master innovative methodologies by leveraging modern ICT tools, including Digital Twin technologies, Building Information Modelling (BIM), Geographic Information Systems (GIS), Artificial Intelligence and Machine Learning (AI/ML), Robotics, 3D Printing, and Immersive Visualisation.

Aims

To equip students with knowledge in spatial design and emerging technologies, enabling students to adaptively address challenges in the built environment, such as BIM, Robotics, 3D Printing, Visualization and Interactive Technologies, and Machine Learning.

To integrate the necessary knowledge and a range of analytical tools, digital skills, and transferable skills for the needs of architectural professionals.
To develop students’ skills of visual, analytical, and collaborative tools, and work effectively within multidisciplinary teams in construction and design contexts.

To cultivate critical thinking and research spirit in decision-making and problem-solving in the context of managing architectural projects using advanced digital approaches.

Characteristics

This programme emphasizes a deep integration of AI, machine learning, data mining with spatial design principles to generate, analyze, and communicate innovative spatial solutions in the built environment. By mastering these advanced tools and concepts, students are empowered to navigate Hong Kong’s evolving architectural landscape and conquer future design complexities. Graduates emerge as visionary leaders prepared to drive meaningful evolution across the industry.