Forest Information Technology (FIT) Master of Science
A joint international Master's programme focusing on environmental information technologies and sustainable forest management.
Best for:Best for students with a background in forestry, environmental science, or computer science seeking an international career in environmental data analysis and spatial technologies.
Overview
The Forest Information Technology (FIT) Master of Science is a full-time, four-semester joint degree programme offered by the Eberswalde University for Sustainable Development in cooperation with the Warsaw University of Life Sciences. The curriculum combines core training in environmental technologies such as geographic information systems, remote sensing, and ecological databases with comprehensive studies in forest and ecosystem management. Students spend their first semester in Germany, their second semester in Poland, and undertake independent research or elective coursework during subsequent terms. The programme prepares graduates to apply spatial data analysis, programming, and modeling techniques to solve complex environmental and forestry challenges.
What you'll do
- Complete foundational coursework in environmental information technologies during the first semester at Eberswalde University for Sustainable Development.
- Participate in specialized silvicultural and spatial data modules during the second semester at Warsaw University of Life Sciences.
- Conduct an independent research project and select elective modules during the third semester at a participating partner institution.
- Compose and defend a Master's thesis integrating information technology methods with forest ecosystem applications in the fourth semester.
- Collaborate within interdisciplinary teams to analyze spatial datasets, develop sampling methodologies, and build computer-based ecological models.
Requirements
Degree required: BSc in forest, landscape, and environment-related study programmes or related disciplines such as computer science
Degree offered: Master of Science
Language: English; B2 level required via an official certificate such as Cambridge B2 First
Instruction: English
- Basic understanding of forestry, environmental sciences, or computer science
- Ability to work effectively within interdisciplinary and international teams
- A personal statement outlining specific research interests concerning forest information technology
- Applicants from forest, landscape, and environment-related study programmes automatically fulfil subject entry requirements
- Applicants from other disciplines undergo individual evaluation based on previous coursework and motivation
Funding & terms
Programme and admissions
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How to apply
Deadline: 1 June for non-EU; 15 July for EU
Prepare your academic credentials, proof of English proficiency, and personal statement, then submit your complete application through the uni-assist portal before the specified deadline.
- CV
- BSc degree certificate and transcripts
- English language certificate
- Personal statement
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.