Edinburgh Medical School, CMVM
Module
Foundations of Machine Learning for Health and Social Care (MSc)
Academic year
2025-2026
Role
Course organiser.
DRPS entry (2025-26)
- Course: Foundations of Machine Learning for Health and Social Care (HEIN11098)
- School/College: Edinburgh Medical School, College of Medicine and Veterinary Medicine
- Level/Credits: SCQF 11, 10 credits (ECTS 5)
- Course type/start: Online distance learning, flexible start (from 16/02/2026)
- DRPS URL: https://www.drps.ed.ac.uk/25-26/dpt/cxhein11098.htm
- Summary: Foundational machine learning theory and practical Python implementation in health and social care contexts.
DRPS synthesis
Learning objectives
- Understand machine learning applications and limitations in health and social care.
- Apply classification and regression techniques to complex, context-rich datasets.
- Distinguish supervised vs unsupervised methods and critically reflect on ethical implications.
Course content
- Introductory ML framing and differentiation from broader AI concepts.
- Supervised learning (classification and regression) and unsupervised learning (clustering/dimensionality).
- Python-based practical implementation with health and social care case-study datasets.
Assessment profile
- 100% coursework (final written assignment).
- No written exam.
DRPS lists this module with prerequisite progression from HEIN11039 and software/data-structure preparation modules.