Advanced Climate Data Analysis
Summary
The course provides an introduction to "Big Data" in climate science as a method of analysis, for example through remote sensing or climate modelling - skills that are in high demand on the job market.
About
The course introduces students to advanced data analysis methods, 'Big Data' and methods such as remote sensing and climate modelling.
The topics covered include:
- to write a clear algorithm
- using a software program (e.g. Matlab or Python)
The teaching consists of computer-based analysis exercises, lectures and a project report.
The course is part of the Bachelor’s Programme in Earth Sciences, the course is also offered as a freestanding course.
Prerequisites and selection
Entry requirements
For admission to the course, the student must have taken GV2500 Data Analysis for Earth Sciences and at least 60 credits in the main field of Earth Sciences. Students with equivalent education may be admitted to the course after review and approval.
Selection
Selection is based upon the number of credits from previous university studies, maximum 165 credits.
After graduation
If you study Earth Science, you have good career opportunities both in Sweden and abroad. You can choose to work in industry, as a consultant, project manager or in public administration.
Our former students work, for example, with natural resource management, environmental issues and urban planning, you also have great opportunities to focus on the particular area you are interested in.
Exchange opportunities
If you are studying Earth Science at the University of Gothenburg, there are good opportunities for exchange studies during your studies. This is often seen as a good asset when applying for jobs, as many jobs require international collaboration. We have over 100 agreements within Erasmus and other exchange programs with universities around the world, both within and outside Europe.
