Content of the module:

  • Work in a cross-university team in competition with other teams.
  • Work on case studies along selected steps of a circular economy.
  • Independent technical implementation of machine learning applications to solve business problems.
  • Consideration and analysis of the technical, economic, environmental, and social implications of your work.


Qualification aims for the module learning objectives/skills:

  • Know and understand how to use and evaluate different machine learning approaches to solve business decision problems.
  • Apply techno-economic skills.
  • Structure business decision situations and analyze available data.
  • Evaluate data using machine learning to make informed business decisions in the context of sustainability.
  • Technically implement machine learning applications and evaluate (potential) economic, environmental, and social impacts.
  • Practice team and project management skills and presentation techniques.
The course is held in English.