MSc Artificial Intelligence for Weather & Climate Change FT

1 Year On Campus Masters Program

University College Dublin

Program Overview

The MSc Artificial Intelligence for Weather & Climate Change at University College Dublin is an exciting one‑year, full‑time Master of Science that blends data science, AI technologies, and atmospheric sciences to prepare you for roles in forecasting and climate intelligence. It’s ideal for students with a strong quantitative foundation who want to apply cutting‑edge AI to real-world environmental challenges.

Curriculum Structure

Autumn Trimester

In the first trimester, you’ll build a solid foundation in both atmospheric sciences and AI tools. You will study Physical Meteorology & Climatology to understand how the atmosphere works, and explore AI for Weather and Climate along with AI & Extremes for Weather and Climate to gain practical machine learning skills tailored to environmental datasets. Elective options like Remote Sensing or Machine Learning with Python allow you to focus on either environmental analysis or computational techniques.

Spring Trimester

The spring trimester deepens your skills in data modelling and computational applications. Core modules such as Impacts Modelling for Weather and Climate and AI, Computing and Visualisation for Weather Applications will guide you through modelling complex systems and presenting results effectively. Optional courses like Data Science in Python and Uncertainty Quantification further strengthen your quantitative and analytical abilities.

Summer Trimester

During the final stage, you will undertake a research-led MSc Dissertation, often collaborating with Met Éireann, applying AI and weather science to a real-world problem. You may also take elective subjects such as AI Ethics to reflect on responsible AI use in environmental decision-making.

Focus areas:

Artificial intelligence, machine learning, weather forecasting, climate modelling, data science, numerical prediction, environmental analytics

Learning outcomes:

Apply AI and data-driven methods to environmental datasets, develop weather and climate forecasting models, analyse extremes and climate impacts, visualise complex geospatial data, conduct independent research

Professional alignment (accreditation):

This MSc is awarded at NFQ Level 9 by the National University of Ireland, ensuring high academic standards and recognition across Europe and internationally

Reputation (employability rankings):

University College Dublin consistently ranks among the world’s top universities, and its science and engineering postgraduate programmes are highly regarded by employers in data science, climate consulting, and research sectors

Experiential Learning (Research, Projects, Internships etc.)

Students in the MSc Artificial Intelligence for Weather & Climate Change gain hands-on experience that brings theory to life. From day one, you’ll work with real environmental datasets, develop AI models for weather forecasting, and collaborate on problem-solving projects that mirror real-world challenges. The program emphasizes practical applications through group work, research projects, and the use of advanced computational tools, ensuring you graduate with both the skills and confidence needed for a professional career in climate and AI sciences. The university’s resources and facilities support this learning through dedicated labs, expert staff, and access to national weather datasets. Key experiential learning opportunities include:

Access to specialized meteorology and climate labs, equipped for atmospheric data analysis and modelling.
Hands-on use of AI and data science software, including Python, R, TensorFlow, and machine learning platforms.
Group projects that simulate real-world environmental problem-solving and collaborative research.
Completion of a research-led MSc Dissertation, often in collaboration with Met Éireann, providing real-world research experience.
Use of UCD’s digital libraries and online data repositories for accessing historical weather and climate datasets.
Opportunities for fieldwork and observational exercises, depending on research focus, to collect and analyse environmental data.
Interaction with the UCD Earth Institute and other research centers focused on climate and environmental studies.
Training in data visualisation and computational modelling tools, allowing students to present complex results effectively.

Facilities list: UCD provides extensive resources for research and learning, including specialized laboratories, computing clusters, libraries, and institutes relevant to environmental and AI studies.

Progression & Future Opportunities

Graduates of this MSc are exceptionally well-prepared to step into exciting careers that combine artificial intelligence with climate and environmental science. You could pursue roles such as AI/ML Engineer in climate technology, Environmental Data Scientist, Climate Modeller, or Research Associate in meteorology and forecasting. These positions are in high demand across both public and private sectors:

The UCD Careers Network supports students from the first term through graduation with one-to-one career coaching, CV and interview preparation, employer networking events, and access to live job vacancies through the MyCareer portal.
UCD graduates enjoy a strong employability record, with over 90% employed, in further study, or engaged in training within nine months of finishing their program, reflecting the practical value of the degree.
Ireland’s tech and data sectors, particularly in AI and climate analytics, offer competitive salary ranges for roles aligned with this program.
The program benefits from university–industry partnerships, especially with Met Éireann and the AIMSIR Centre, giving students direct exposure to real forecasting practice and networking with experts.
The long-term accreditation value of a UCD degree, awarded at NFQ Level 9, ensures international recognition and credibility with employers.

Further Academic Progression:

After completing this MSc, students can continue with a PhD in AI and climate science, often collaborating with the AIMSIR Centre and faculty at UCD. Opportunities are available for funded doctoral research in areas such as advanced forecasting models, climate data analytics, and environmental AI applications, allowing graduates to expand their expertise and pursue cutting-edge research.