University College Dublin - UCD
University College Dublin - UCD
Course Code
F297
Zone
Attendance
Full time

Course Summary

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.

College Link

University College Dublin - UCD
College Link > F297 - Artificial Intelligence for Weather & Climate Change

Colleges often have information about the course on their own website, along with other useful information relating to the college. (Note: Not always available)

Career Sectors

This course prepares you for working in the Career Sectors below. Follow the links to get a fuller understanding of the sectors you are preparing for.

Entry Requirements

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.

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.

Application Details

September

Fees

MSc Artificial Intelligence for Weather & Climate Change FT (F297) Full Time
EU fee per year - € 9720
nonEU fee per year - € 27720

***Fees are subject to change

The Student

Career Interests

This course is typically suited for people with the following Career Interests. If these interests do not describe you, this course may prepare you for work you may not find satisfying.

Investigative

The Investigative person will usually find a particular area of science to be of interest. They are inclined toward intellectual and analytical activities and enjoy observation and theory. They may prefer thought to action, and enjoy the challenge of solving problems with sophiscticated technology. These types prefer mentally stimulating environments and often pay close attention to developments in their chosen field.


Realist

Realists are usually interested in 'things' - such as buildings, mechanics, equipment, tools, electronics etc. Their primary focus is dealing with these - as in building, fixing, operating or designing them. Involvement in these areas leads to high manual skills, or a fine aptitude for practical design - as found in the various forms of engineering.

Realists like to find practical solutions to problems using tools, technology and skilled work. Realists usually prefer to be active in their work environment, often do most of their work alone, and enjoy taking decisive action with a minimum amount of discussion and paperwork.


Career Progression

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.

Duration

1 Year
Close