Applied Data Analysis for Interdisciplinary Environmental Studies
7.5 ECTS creditsCurious about how data can help us understand and respond to environmental challenges like floods and heat waves?
This distance course gives you hands-on skills in data analysis, from cleaning and structuring real-world datasets to creating clear, ethical visualisations such as charts, maps, and infographics. You'll work with data from key Swedish sources like SCB, SMHI, and Lantmäteriet, and learn to connect environmental risk with societal perspectives. No prior data experience is needed, just an interest in making sense of the world through data. The course wraps up with your own applied project where you turn analysis into insights for real decision-making.
Taught in English at 50% pace. Apply now for autumn 2026!
This distance course gives you hands-on skills in data analysis, from cleaning and structuring real-world datasets to creating clear, ethical visualisations such as charts, maps, and infographics. You'll work with data from key Swedish sources like SCB, SMHI, and Lantmäteriet, and learn to connect environmental risk with societal perspectives. No prior data experience is needed, just an interest in making sense of the world through data. The course wraps up with your own applied project where you turn analysis into insights for real decision-making.
Taught in English at 50% pace. Apply now for autumn 2026!
Progressive specialisation:
G1N (has only upper‐secondary level entry requirements)
Education level:
Undergraduate level
Admission requirements:
At least 60 ECTS credits completed in one or several of the following areas of study: Natural Science, Technology, Medicine, Health Science, Social Science, or the Humanities, and upper secondary level English 6, or equivalent.
Selection:
Selection is usually based on your grade point average from upper secondary school or the number of credit points from previous university studies, or both.