Environmental Informatics - Specialization
Environmental Informatics
"Big data" from automated sensors, data logging, drones and satellites gain more and more importance in environmental science and engineering. The specialization Environmental Informatics gives a deep insight into digital tools and data treatment methods and into their application, for example in the water sector. This specialization is also attractive for students holding a BSc in Software Technology, Strategic Analysis and Systems Design, Earth and Space Physics and Engineering, Mathematics and Technology or similar that want to use their skills in the environmental sector.
Students wishing to obtain a MSc in Environmental Engineering with a diploma in Environmental Informatics must complete at least 30 ECTS from within the following group of courses:
| 02409 | Multivariate Statistics | 5 | point | Autumn E1A (Mon 8-12) |
| 02417 | Time Series Analysis | 5 | point | Spring F4B (Fri 8-12) |
| 02441 | Applied Statistics and Statistical Software | 5 | point | January |
| 02450 | Introduction to Machine Learning and Data Mining | 5 | point | Spring F4A (Tues 13-17), Autumn E4A (Tues 13-17) |
| 02582 | Computational Data Analysis | 5 | point | Spring F2B (Thurs 8-12) |
| 02610 | Optimization and Data Fitting | 5 | point | Autumn E2A (Mon 13-17) |
| 02807 | Computational Tools for Data Science | 5 | point | E7 (Tues 18-22) |
| 12122 | Urban Drainage and Stormwater Management | 5 | point | Autumn E2B (Thurs 8-12) |
| 12124 | Urban Flood Risk Assessment | 5 | point | January |
| 12345 | Observation, Modeling and Management of Water Systems | 5 | point | Spring F3A (Tues 8-12) |
| 12773 | Advanced life cycle assessment methods | 5 | point | Spring F3A (Tues 8-12) |
| 30574 | Earth observations for monitoring changes (EO4Change) | 5 | point | June |
Students enrolled in the DTU MSc programme prior to September 2021 the following courses are also accepted for the specialization:
| 02427 | Advanced Time Series Analysis | 10 | point | Autumn E5 (Wed 8-17) |
| 02807 | Computational Tools for Data Science | 5 | point | E7 (Tues 18-22) |
| 12333 | Water Resources Management | 5 | point | F7 (Tues 18-22) |
| 12342 | Data Driven Hydrological Modeling | 5 | point | Spring F4B (Fri 8-12) |
| 12344 | Remote Sensing of Terrestrial Ecohydrology | 5 | point | Autumn E4A (Tues 13-17) |
Specializations are merely recommended ways of choosing the courses in the curriculum. Applicants are not admitted to a specialization but to the programme and it is possible to choose among all the courses in the curriculum following the directions given. However, if a specialization has been fulfilled the title of the specialization may be added to the diploma.