Environmental Informatics - Study line


Environmental Informatics

"Big data" from automated sensors, data logging, drones and satellites gain more and more importance in environmental science and engineering. The study line Environmental Informatics gives a deep insight into digital tools and data treatment methods and into their application, for example in the water sector. This study line 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)
02610 Optimization and Data Fitting 5 point Autumn E2A (Mon 13-17)
12122 Urban Drainage and Stormwater Management 5 point Autumn E2B (Thurs 8-12)
12124 Urban Flood Risk Modelling 5 point January
12345 Observation, Modeling and Management of Water Systems 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 this study line:

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)