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BWL XI: Proseminar in Data Science in Winter Semester 21/22

In winter semester 21/22, we offer a proseminar in Data Science for Bachelor's students. Proseminar participants are welcome to propose seminar topics based on their personal interests. The deadline for applications is 02.07.21.

Proseminar (B. Sc.) in Data Science


Data science is the field of study that combines domain expertise, programming skills, and knowledge of maths and statistics to extract meaningful insights from data. In this seminar, we will focus on Data Science methods and tools. Examples include machine learning models, data visualization, model selection, clustering, and forecasting. We will also review best practices in scientific writing. Students are welcome to propose seminar topics based on their personal interests.  Basic experience in R programming is desirable but not mandatory. Please indicate your level of programming expertise. Individual assignments will consist of a specific problem from data science. Grading will be based on a seminar paper and an oral presentation.

Exemplary topics include, but are not limited to:

  • Applying a data science method to a dataset (e.g. predicting movie ratings based on movie reviews)
  • Presenting an R package
  • Presenting a data science / machine learning method 


  • Lecturer: Prof. Dr. Nicolas Pröllochs (BWL XI)
  • Course format: Seminar / Proseminar
  • Term: Winter semester 21/22
  • Language: German
  • Grading: Seminar paper & presentation