Model driven analytics for industrial processes

Whether they are manufacturing physical products or delivering virtual services, corporations engage in a wide variety of processes that are interrelated within and across different phases along the product/service lifecycle. Corporations have started collecting and storing this information, expecting that the data might be useful to extract valuable insights about the product and the production process in the future (e.g., for improving individual process steps and individualizing the product/service for customers).

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Student Target Groups:

  • Students in ICE/Telematics and Comp. Science

Thesis Type:

  • Bachelor Thesis / Master Project

Required Prior Knowledge:

  • Background in statistics and data analytic
  • Background in semantic web technologies and web service development
  • Programming skills in Java, Python
  • Interested in cloud computing

Goals and Tasks:

  • Develop tools and foundations for model driven analytics
  • Demonstrate and investigate applicability developed tools in the context of a usecase

Duration in months

  • 6 months


  • As soon as possible