University of Canterbury

Overview

Population Health Data Science explores the impact of environmental and social factors on health outcomes. This program employs data science techniques to uncover patterns that inform evidence-based decision-making in public health.

Students will engage with authentic public health and environmental datasets, including information on air quality, disease trends, and the health implications of various locations. The program culminates in a capstone project conducted in collaboration with community or local organizations.

What you'll study

The curriculum integrates foundational knowledge in health and population health with advanced data science methods, evolving from core concepts to applied data analysis and a final-year project.

Core course areas include:

• Health Planning, Implementation and Evaluation
• Epidemiology
• Health Systems and Policy
• Environmental and Occupational Health
• Health, Wellbeing, and Environment

Applied learning and capstone:

• Workshops: Hands-on sessions utilizing data science tools and techniques relevant to population health challenges.
• Final-year project: A collaborative project addressing a public health issue, supported by data-driven analysis, conducted with local organizations.

Curriculum details: For the latest module information, sequencing, and available electives or specialization options, please visit the University of Canterbury program page.

Entry requirements

To be eligible for admission, applicants must meet the University Entrance (or an equivalent qualification). The University of Canterbury may provide transition support for those needing assistance to fulfill entry requirements.

Specific grading thresholds, such as GPA, are not detailed in the provided information—please confirm the current entry criteria on the University of Canterbury program page for your qualification type.

Career prospects

Graduates of the Population Health Data Science program will be well-equipped for various roles within the public health sector. Potential career paths include positions in epidemiology, health policy analysis, environmental health, and data analysis. The skills gained through this program will enable graduates to contribute to improving health outcomes and informing public health initiatives globally.