Forest Information Technology (FIT)

Environmental information technologies such as geographic information systems, remote sensing, statistics, databases, programming, the Internet, and forest ecosystem and environment-related applications form the core of the subjects taught. The core modules are accompanied by selected topics in forest and ecological disciplines. Students learn the relevant concepts and methods for survey, analysis, visualisation, and communication of environmental data. They acquire practical skills in handling common software products particularly related to spatial data. They achieve a critical understanding of the processes in forest ecosystems and of forest management. They learn to apply information technologies creatively to describe problems and find solutions, develop methods for sampling environmental data and computer and model-based assessments of the effects on forests and other ecosystems, and learn how to cooperate in interdisciplinary work groups.

Academic requirements

Applicants from other programmes (e.g. computer sciences) will be evaluated individually for assessment of their subject qualification based on the content of their previous study programme(s) and a personal statement outlining their special interest concerning the FIT programme.

Minimum GPA

No fixed minimum GPA is published on the current official programme page.

English requirements

CEFR B2 or equivalent level. Accepted certificates: TOEFL, TOEIC, Cambridge English. Native speakers and applicants who completed their studies in English are exempt.

Accepted bachelor fields

Forest, landscape, and environment-related study programmes (e.g. forestry, biology, agricultural sciences, land use planning)

APS Certificate

Yes

Thesis required

Yes

Tuition fee

None

Semester contribution

376 EUR per semester

ECTS credits

120

Funding info

Tuition: None Semester contribution: 376 EUR per semester

Graduates are in high demand in public forestry services, environmental consultancies, and the geospatial technology sector, where skills in data-driven forest and environmental management are increasingly critical.

• 1

  Geosciences

  University of Potsdam

  Potsdam · Master of Science · English

• 2

  MSc Physical Geography: Environmental History

  University of Bremen

  Bremen · Master of Science · English

• 3

  IDEA League Joint Master's in Applied Geophysics

  RWTH Aachen University

  Aachen · Master of Science · English

• 4

  Earth Sciences and Global Change

  University of Greifswald

  Greifswald · Master of Science · English

• 5

  Experimental Geosciences (MSc)

  University of Bayreuth

  Bayreuth · Master of Science · English