PGDip Health Data Science
Course Overview
This Master's programme equips graduates from biomedical, clinical, and computational backgrounds with the advanced skills to become the next generation of health data scientists. Students will learn to design and perform sophisticated analyses using cutting-edge AI and computational methods to solve pressing medical and clinical challenges. The course provides comprehensive training for health data science careers within academia, industry, and national health services.
Key Program Highlights
- Focus on applying advanced artificial intelligence (AI) to real-world health data and clinical challenges
- Comprehensive training in key areas like clinical bioinformatics, health informatics, and integrated multimodal data analysis
- Designed for students from diverse backgrounds, including biomedical domains, computer science, and clinical trainees
- Prepares graduates for high-demand careers in academia, the healthcare industry, and national health services
- Taught by leading researchers with expertise in AI-driven clinical applications and health data research
Course Overview
This Master's programme equips graduates from biomedical, clinical, and computational backgrounds with the advanced skills to become the next generation of health data scientists. Students will learn to design and perform sophisticated analyses using cutting-edge AI and computational methods to solve pressing medical and clinical challenges. The course provides comprehensive training for health data science careers within academia, industry, and national health services.
Key Program Highlights
- Focus on applying advanced artificial intelligence (AI) to real-world health data and clinical challenges
- Comprehensive training in key areas like clinical bioinformatics, health informatics, and integrated multimodal data analysis
- Designed for students from diverse backgrounds, including biomedical domains, computer science, and clinical trainees
- Prepares graduates for high-demand careers in academia, the healthcare industry, and national health services
- Taught by leading researchers with expertise in AI-driven clinical applications and health data research
Requirements
Modules
- Data Analytics and Statistical Machine Learning for Health Data Science
- Essentials of Mathematics, Statistics and Programming
- Foundations of Computing Practices in Health Data Science
- Epidemiology and Health Informatics
- Health Data Fundamentals
- Integrative Multimodal Data Analytics
- Health Data Analytics
- Health Data Science Challenges
- Interdisciplinary Health Data Research Project
