Postgraduate taught courses
Weather, climate and environmental prediction are areas of immense importance for humanity, and there is consequently a strong demand for graduates trained in atmospheric and oceanic science. Our 1-year MSc courses are designed to provide science graduates (who have no prior training in atmospheric science) with the skills and knowledge base for a wide range of careers in these exciting areas.
Your experience as an MSc student in Meteorology at Reading will be enriched by working in an active research environment, but we also pride ourselves on the friendly and informal atmosphere and there are a wide range of social and sporting activities to get involved in.
There are three masters degree courses offered in the Department of Meteorology at the University of Reading, leading to an MSc Degree or Postgraduate Diploma:
- MSc Atmosphere, Ocean and Climate (AOC): to provide a quantitative description of the physical processes (including the influence of the oceans) that produce weather and climate, and the methods used to simulate weather and climate on computers;
- MSc Applied Meteorology (AM): to provide the scientific background to a wide range of meteorological applications focussing particularly on the links between the atmosphere and the land surface environment.
- MSc Applied Meteorology and Climate with Management (AMCM) : this MSc has been developed for, and is currently confined to, applicants from developing countries, in particular those who work for National Meteorological Services in least developed countries. It combines the majority of the meteorological and climate science modules of the Applied Meteorology programme with training in the management of individuals and organisations provided by Henley Business School, part of the University of Reading. Additionally, it involves one week's training in the use of the UK Met Office's 'PRECIS' software for climate prediction.
- MSc Data Assimilation and Inverse Methods in Geoscience (DAIMG) :this programme provides the mathematical background to data assimilation and inverse methods, and the skills to apply data assimilation methods to a wide range of geoscience fields including meteorology, oceanography, hydrology, oil reservoir modelling and the cryosphere. This is an important and growing field