
MSc Artificial Intelligence for Weather and Climate Change
The MSc Artificial Intelligence for Weather & Climate Change offered by University College Dublin is a 1-Year, full-time course that integrates artificial intelligence, meteorology, and climate science to equip graduates with advanced data-driven and modelling skills for understanding and predicting weather and climate phenomena.
Duration
1 year
Starting Date
September
Tuition Fee
For information about tuition fees, please contact UCD using the enquiry form.
Location
Dublin, Ireland
About the programme
Co-delivered with Met Éireann, the Irish Meteorological Service, the programme combines rigorous theoretical foundations with practical training in AI, machine learning, and numerical modelling. Students learn to design and implement AI systems for environmental data, forecast extremes, and assess climate impacts.
The course prepares graduates to contribute to cutting-edge research and to address real-world challenges in climate forecasting, disaster mitigation, and environmental policy. Graduates will be uniquely positioned to apply AI in global weather and climate contexts.
Career opportunities:
Graduates will gain highly sought-after skills at the interface of AI, meteorology, and climate science, positioning them for roles in national meteorological services, renewable energy, environmental consultancy, and climate technology sectors.
Typical roles may include data scientist, climate modeller, AI researcher, or environmental analyst. Organisations such as Met Éireann, The European Centre for Medium Range Weather Forecasting, and climate-focused start-ups are potential key employers. Graduates will also be well prepared for PhD-level research in AI and atmospheric science, contributing to innovations in weather prediction, sustainability, and climate adaptation.
Programme Structure
Sample Modules and Topics (Subject to change and are not guaranteed by UCD):
- Physical Meteorology and Climatology
- Synoptic Meteorology
- AI for Weather and Climate
- AI, Computing and Visualisation for Weather Applications
- Physical Meteorology Field Trip
- AI and Extremes for Weather and Climate
- Impacts Modelling for Weather and Climate









