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.