Population Health Data Science
Qualifications
Overview
Population Health Data Science explores the relationships between the physical environment and our health by using data to find patterns and potential solutions to health problems.
This includes using geomapping health data for air quality in urban areas, mapping disease outbreaks in cities, and calculating traffic accidents.
- Complete practical workshops using data science technologies, and a final-year project working alongside local organisations on public health issues.
- Access to state-of-the-art computer and software labs with UC’s connections with Manawa Health Hub and research centres such as Te Taiwhenua o te Hauora | GeoHealth Laboratory.
Population Health Data Science major
Complete the compulsory courses for the Bachelor of Data Science, along with the following major courses:
100-level
200-level
- HLTH213 Health Systems and Policy
- HLTH214 Environmental and Occupational Health
- One 200-level HLTH or GEOG course
300-level
Data scientists are in demand as it is an area of work that faces significant skills shortages globally. Study in Population Health Data Science provides you with a strong foundation in health sciences with data science methodologies.
With environmental and economic changes affecting the globe, your skills in this degree will help combat our rising health challenges and environmental contamination.
Career pathways could include:
- health researcher
- intelligence advisor
- data scientist
- disaster response advisor.
Find out more about what you can do with a degree in Data Science.
Contact us
For study planning help, please contact Professor Peyman Zawar-Reza:
Email peyman.zawar-reza@canterbury.ac.nz
Postal address
Te Kaupeka Pūtaiao | Faculty of Science
Te Whare Wānanga o Waitaha | University of Canterbury
Private Bag 4800
Christchurch 8140
New Zealand
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