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課程資料
- 2027年1月
(Total Tuition Fees $201,190
Tuition Fee Per Credit $6,490)
- 可獲發
- (證書的發放與分配,依課程提供者的政策及安排而定。)
課程簡介
The programme will empower students with the expertise needed to harness the power of health analytics and AI to transform healthcare delivery. By focusing on the convergence of AI, data analysis, and healthcare management, the programme equips graduates with the skills to leverage AI-driven insights to streamline healthcare operations and foster innovation. Through equipping students with theoretical knowledge and practical skills, they will learn to apply AI techniques across a wide range of healthcare applications, including diagnostics, treatment planning, predictive modelling, medical research, and health informatics, for improved healthcare outcomes.
In summary, the MSc in Health Analytics features:
- Cutting-Edge Curriculum: The program offers a comprehensive curriculum that combines health analytics with artificial intelligence, preparing students to leverage data for improved healthcare outcomes.
- Focus on Emerging Technologies: Students will learn to apply advanced techniques in AI and data analytics specifically within healthcare settings, addressing current industry challenges and trends.
- Real-World Applications: The program emphasizes practical experience, including opportunities for students to engage with healthcare professionals.
課程內容
Compulsory Subjects (9-11 subjects, 3 credits each unless otherwise specified)
- Academic Integrity and Healthcare Ethics (1 credit)
- AI-driven Cybersecurity Management
- AI Governance, Ethics, and Sustainability in Health Analytics
- Artificial Intelligence and Digital Health
- Health Data Management and Analytic Systems
- Integrated Project
- IoT and Wearables for AI-Driven Healthcare@
- Laws and Ethics in Healthcare
- Low-code to No-code AI Solutions^
- Quality Assurance and Safety in Healthcare Management
- Statistical Analysis for Health Data Insights
Elective Subjects# (0 to 2 subjects*, 3 credits each)
- AI in Medical Imaging
- Anatomy and Physiology
- ESG in Healthcare
- Health Analytics for Public Health Surveillance
- Preventive Care and Health Promotion
- Sports Nutrition and Performance