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Karlstad University
GeoAI for Sustainable Futures
The Master’s Programme in *GeoAI for Sustainable Futures* combines geospatial science with artificial intelligence (AI) to address pressing challenges in climate change, sustainability, and risk management. Students acquire advanced skills in geospatial data engineering, spatial statistics, machine and deep learning…
- Higher education
- Information unavailable
- 30 August 2027
- Karlstad
- Information unavailable
- 100 %
Overview
The Master’s Programme in *GeoAI for Sustainable Futures* combines geospatial science with artificial intelligence (AI) to address pressing challenges in climate change, sustainability, and risk management. Students acquire advanced skills in geospatial data engineering, spatial statistics, machine and deep learning, and cloud-based environmental monitoring. The curriculum emphasises applied open-source GeoAI solutions for sustainable development, disaster-risk reduction, and evidence-based decision support. Graduates will be prepared for careers as GeoAI analysts, GIS developers, data engineers, climate and risk analysts, or decision-support specialists in government agencies, consulting firms, technology companies, and NGOs. The programme also provides an excellent foundation for further research and doctoral studies. Delivered in a hybrid format with both campus and online participation, the programme offers a flexible and research-led education that leverages open data, open-source software, and strong links to national and international partners.
Admission scores
Entry requirements
Completed bachelor's degree or vocational degree comprising at least 180 credits, or equivalent foreign degree in a relevant field, such as geographic IT, geoinformatics, surveying technology, computer science, environmental science, or geography. High school English 6 or Enlish level 2, or equivalent.
The text is reproduced from the Susa source. Antagningsdata does not map GY11 and GY25 or assess personal eligibility.
Source, measure and data quality
- Source
- Skolverket Susa-navet
- Period
- 2027-08-30
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.kau.tamgm.80896.20272
- Last checked
- 2026-09-23T10:37:56.839657+00:00
- Limitation
- Antagningsdata does not map GY11 and GY25. General and specific conditions are not separated without structured source data.
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- Programme or course starts
- Programme or course ends
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About the provider
Sources and data quality
Education facts for the selected offering come from Skolverket Susa-navet.
Retrieved . Published . Times are shown in Swedish local time.
Source identity and publication version
- Publication version
- 8e217193-f5fa-4778-b085-a4521fd03e8d
- Education identity in the source
- i.uoh.kau.tamgm.80896.20272
- Offering identity in the source
- e.uoh.kau.tamgm.80896.20272
- Education-form source code
- HS
- Education code in the source
- TAMGM
- Change time according to the source
- 2026-06-10T12:00:40
The provider, education and education offering are separate identities. Application information should be checked on the official website. Supplementary statistics have not been obtained from this source.