Doctor of Philosophy in Artificial Intelligence Empowered Smart Healthy Ageing
Objectives
This programme aims to cultivate top-tier, interdisciplinary talent capable of addressing the global challenges of population ageing and health management, while leading the development of the intelligent health and wellness industry. Graduates will possess a solid interdisciplinary theoretical foundation, excellent scientific research and innovation capabilities, and a broad international perspective. They will be able to master interdisciplinary expertise in artificial intelligence, geriatric nursing, health management, and physical rehabilitation, thereby to contribute to Macao, the Guangdong-Hong Kong-Macao Greater Bay Area, and the nation strategic of "proactively response to ageing".
Highlights
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Macao’s first doctoral programme dedicated to smart health and wellness, committed to cultivating high-end research and applied professionals who will pioneer future AI-driven smart health solutions
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Aligned with the national strategies on population ageing and Macao's "1+4" economic diversification, contributing to the development of the silver economy and Macao's health and wellness sector
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Focuses on cutting-edge artificial intelligence applications in health monitoring, disease prevention, personalised rehabilitation, and intelligence care. Leveraging Macao's unique position as a Sino-Portuguese platform, it establishes an international cooperation and demonstration system for smart health and wellness targeting Portuguese-speaking countries.
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Outstanding students gain opportunities to participate in high-level international research projects, integrate into global scientific collaboration networks, and evolve into core driving forces for the future industrialisation of smart healthcare and the broader health sector.
Overview
Duration: 3 years
Credit Requirements: 30 Credits
Medium: English
Learning Modules |
Type |
Hours |
Credits |
Research Methodology and Ethics |
Compulsory |
45 |
3 |
Frontiers in Smart Healthy Ageing |
Compulsory |
45 |
3 |
Thesis |
Compulsory |
- |
21 |
Complete one learning module from the Electives to obtain 3 credits | |||
Artificial Intelligence Driven Meta-Analysis | Elective | 45 | 3 |
Artificial Intelligence in Human Movement Analysis | Elective | 45 | 3 |
Total Credits |
30 |