Machine Learning and Statistics for Health (L6) (G5221)
15 credits, Level 6
Spring teaching
This module is designed to provide you with a comprehensive understanding of analytical and interpretative statistical methods and tools essential for solving complex problems in the fields of health and medicine. The module is structured around three overarching areas:
- survival analysis
- classification
- clustering,
This will help you develop a diverse skill set to navigate the intricacies of medical data analysis effectively. Teaching will blend theory and hands-on methods, and reinforce practical skills.
Including supervised and unsupervised learning techniques, such as logistic regression and medical data clustering, this module equips you with the expertise needed to excel in the intricate world of health and medical data analytics. On completion, you’ll confidently tackle real-world healthcare problems using data-driven insights.