In addition one of the following subjects in methodology must be chosen:AOS340 | Qualitative Methods | 5 ects | Autumn parallel | MINA310 | Methods in Natural Sciences | 5 ects | Spring parallel | MINA311 | Social Science Research Methods in Nature-based Tourism, Outdoor Recreation and Natural Resource Management | 10 ects | Spring parallel |
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In order to obtain a Master's degree in Forest Sciences the student must also choose:At least 20 ects from the following courses: | FORNY310 | Bioenergy - Markets and Sustainabilities | 5 ects | Spring parallel | MINA330 | Project Economy for Renewable Energy snd Forestry | 10 ects | Autumn parallel | SKOG303 | Silviculture and Forest Growth and Yield | 10 ects | Autumn parallel | SKOG304 | Forest Ecology | 10 ects | Spring parallel | SKOG305 | Sampling-based Forest Inventory | 5 ects | Autumn parallel | SKOG340 | Forest Engineering and Logistics II | 10 ects | Autumn parallel | TRE300 | Wood Technology | 10 ects | Spring parallel |
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Students without a Bachelor's degree in Forest Sciences must also have the course:SKOG250 | Forest Management - Interdisciplinary Analysis | 10 ects | June block |
| plus at least 15 ects from the following courses: | SKOG205 | Resourse Mapping and Inventory | 5 ects | Spring parallel | SKOG210 | Forest Products - Markets and Wood Technology | 5 ects | Spring parallel | SKOG220 | Treatment of Forest Stands | 10 ects | Aug bl + aut p | SKOG230 | Resource Economics and Planning in Forestry | 10 ects | Spring parallel | SKOG240 | Forest Engineering and Logistics | 10 ects | Spring parallel | TRE200 | Wood Technology I | 5 ects | January block |
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Recommended optional courses for course combination 'Data Science and GIS':DAT200 | Applied Machine Learning | 10 ects | Spring parallel | GMGI210 | Geographical Analysis and Modelling | 10 ects | Spring parallel |
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Programme coordinator 2022: Nybakken, Line |
Student advisor 2022: Mjelde, Marianne |
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