Advanced Artificial Intelligence

The MSc Artificial Intelligence for Weather & Climate Change 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. 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.

Autumn Trimester - Core modules:

● Physical Meteorology & Climatology

● AI for Weather and Climate

● AI & Extremes for Weather and Climate

● Synoptic Meteorology



Option modules:

● Remote Sensing

● Urban Data Analytics

● Marine Geoscience

● Natural Hazards and Risks

● Applied Hydrology

● Machine Learning with Python



Spring Trimester -

Core modules:

● Impacts Modelling for Weather and Climate

● AI, Computing and Visualisation for Weather Applications

● Dynamical Meteorology & Numerical Weather Prediction



Option modules:

● Geostatistics and Programming for GIS

● Coastal Risks

● Weather, Climate and Climate Change

● Uncertainty Quantification

● Data Science in Python

● Machine Learning with Python



Summer Trimester -

Core module:

● MSc Dissertation (30 credits, research-led, in collaboration with Met Éireann)



Option modules:

● AI Ethics

Applicants must hold a 2:1 honours degree (or international equivalent) in a science, mathematics, engineering, or cognate discipline, with prior study of calculus and linear algebra. Other relevant backgrounds include meteorology, environmental science, computer science, physics, or data analytics.



Applicants must meet the minimum English language requirements. https://www.ucd.ie/registry/prospectivestudents/admissions/

policiesandgeneralregulations/generalrequirements/

minimumenglishlanguagerequirements/



You may be eligible for Recognition of Prior Learning (RPL), as UCD recognises formal, informal, and/or experiential learning. RPL may be awarded to gain Admission and/or credit exemptions on a programme. Please visit the UCD Registry RPL web page for further information. Any exceptions are also listed on this webpage.

https://www.ucd.ie/registry/prospectivestudents/admissions/rpl/

Apply online



Who Should Apply?

Full Time option suitable for:

Domestic(EEA) applicants: Yes

International (Non EU) applicants: Yes

1 year full-time.

Delivery: On Campus.

F297 MSc Artificial Intelligence for Weather & Climate Change FT (Master of Sc) Full-Time

Commencing September 2026

Graduate Taught

Career & Graduate Study 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.