Environmental Modelling and Data Sciences (EMDS)

We are living in an age of data: sensors, satellites and stations record environmental states around the world, in many systems.

Environmental Modelling and Data Sciences aims at equipping the students with a wide and relevant range of computer-based skills to address research and application challenges in environmental science. Ever-larger data sets from automatised data collections (remote sensing, omics) and large research and public data collections (weather stations, iNaturalist, ebird) require appropriate data science and modelling competences. As these methods are in constant flux, this major develops fundamental skills in statistics and programming and combines them with concrete studies and analyses.

Important Facts

Language: English
Teaching form: on-campus
Type of study: fulltime
Study location: Freiburg
Start: Winterterm only, October
Duration: 4 Semester
ECTS: 120 ECTS
Costs: 161€ Semester fees,
+ 1.500€ Study fees (only NON-EU-Students)

Application period: March 1st – May 15th

Special features of the EMDS – major

Innovative
Focus on cutting-edge methods in environmental sciences, from geo- to bioinformatics, from statistics to process models

Interdisciplinary
Highly interdisciplinary across environmental science and international in content and studentship

Equipped
Developing a broad range of skills applicable from pure science to conservation, from GHG inventories to genetics

“By confronting models with real data we turn insight into the scientific foundation for every environmental decision”

Prof. Dr. Carsten Dormann

Head of EMDS-major, Chair of Biometry and Environmental System Analysis

Curriculum

Curriculum Environmental Modelling and Data Sciences

Short description of the study content

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First Semester (Winter)

In the first winter semester, which begins Mid October, the modules are offered in a weekly course format. It consists of core and major modules.

Core modules

  • Research Skills: Basic skills and concepts to conduct and communicate scientific reserach
  • Multi-Disciplinary Perspectives on Environmental Sciences: Different scientific fields, methods, ethics and philosophies in Env. Sciences

Major modules

  • Environmental Statistics: Extends statistics knowledge and application, multiple regression, R/Python, advanced use of R
  • Environmental Monitoring, Data Analysis and Visualization: Data collection, storage, analysis and visualisation, Upscaling of information
  • Ecosystem Functioning: Important processes in ecosystems, overview of ecological approaches and systems
  • Earth System Modelling: Formulating processes as ODEs, simulating DEs, programming a simple ecosystem model

Career Opportunities

  • Academic and administrative work with (environmental) data
  • Data Scientists in Environmental Agencies (Geology, Hdrology, Biology)
  • Academic and research facilities

Admission requirements

Requirements for a successful application to the MSc Environmental Sciences/Environmental Modelling and Data Sciences:

  • BSc Degree with grade point average of at least 2.5
  • English C1 level (accepted certificates)
  • 50 ECTS in natural sciences and ecology
  • 20 ECTS in statistics and geomatics
    -> basic knowledge in “R” is assumed
  • knowledge of a higher programming language

Apply from March 1st to May 15th for the following winter semester

Contact

Kristin Goldbach

Application management

Prof. Dr. Carsten Dormann

Head of Major, Chair of Biometry and Environmental System Analysis