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
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, contributi Below is a list of all modules offered for this degree in the current academic year. Click on the module to discover what you will learn in the module, how you will learn and assessment feedback profile amongst other information. Incoming Stage 1 undergraduates can usually select an Elective in the Spring Trimester. Most continuing undergraduate students can select up to two Elective modules (10 Credits) per stage. There is also the possibility to take up to 10 extra Elective credits.