Taught course

Data Assimilation and Inverse Methods in Geoscience

Institution
University of Reading · Department of Meteorology
Qualifications
MScPGDip

Entry requirements

Prior knowledge of meteorology is not necessary although some experience with computer programming will be helpful. A first or second-class degree in physics, mathematics or a closely related subject is required. Admission to the Diploma may be possible with slightly lower qualifications.

Months of entry

September

Course content

Data assimilation is a new, rapidly growing and well-funded research area that is essential to prediction of all components of the Earth system and their coupled evolution. It is the science of combining environmental data sets (from ground-based sensors to satellites) with numerical models of that environment to give the models the best possible starting conditions for the forecasts. It requires thorough knowledge of the underlying mathematics, numerical modelling and the application area. This course aims to provide a foundation of the theory and techniques of data assimilation and inverse methods and their application to atmosphere, ocean, land surface, cryosphere, hydrology, and oil and gas reservoir modelling.

Information for international students

Evidence of English Language ability required. Normal requirements are: • an overall score of 7.0 in the International English Language Test Score (IELTS) with no individual element scoring less than 6.0 or • an overall score of 6.5 in the IELTS with no individual element scoring less than 5.5

Fees and funding

UK students
£7,000
International students
£17,000

Studentships may be available from the University for this programme.

Qualification and course duration

MSc

full time
12 months

PGDip

full time
12 months

Course contact details

Name
Andrew Charlton-Perez
Email
mscinfo@met.reading.ac.uk
Phone
+44 (0)118 378 8956