4208159: C15 Project Seminar Data Science

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Semester:WS 16/17
Scheduled in semester:3
Semester Hours per Week / Contact Hours:58.0 L / 43.5 h
Self-directed study time:136.5 h

Module coordination/Lecturers


Master's degree programme in Information Systems (01.09.2015)


Short description
In this course, students apply acquired data science knowledge and skills to solve a real-world business problem from the area of marketing, finance, or operations.

Topics may include

  • Supervised learning (regression, classification)
  • Unsupervised learning
  • Text mining
  • Social network analysis
  • Assessing model quality

Learning objectives
  • Students will analyze a real-world case through the data science lens
  • Students will collect and prepare data for later analysis
  • Students will build and evaluate statistical models
  • Students will translate statistical models into actionable results

  • The module integrates theoretical knowledge and practical skills in a seminar focusing on a real-world case.
  • The e-learning platform Moodle will be used throughout the course for the dissemination of course material and discussions.



  • PWW-MA_Project Seminar Data Science (WS 16/17, bewertet)