The following sample study plan serves as a general guide. Students are free to combine modules as they wish, as long as they comply with the Examination and Study Regulations. Detailed information about the Examination and Study Regulations is available in both German and English.

The mandatory courses by the Institute for the WiSe 2025/26:

  1. Fundamentals of Artificial Intelligence and Data Science: Lecture & Exercise
  2. Mathematics of Artificial Intelligence: Lecture & Exercise
  3. Databases (offered by Universitätsmedizin Greifswald): Lecture & Exercise
  4. Interdisciplinary Data Science: Seminar

 

The optional courses offered by the institute for the WiSe 2025/26:

  1. Data Visualization: Lecture & Exercise
  2. Current methods and applications in Machine Learning: Seminar
  3. Algorithms and Data Structures for Data Science: Lecture & Exercise
  4. Ethics and Privacy in Machine Learning and Data Science: Lecture & Exercise
  5. Practical Deep Learning: Seminar
  6. Methods of Privacy-focused Machine learning: Seminar
     

The optional courses offered by other institutes for the WiSe 2025/26:

  1. Graphentheorie: Lecture & Exercise
  2. Datenstrukturen und effiziente Algorithmen: Lecture & Exercise
  3. Logik 1: Übersetzungen, Wahrheitstabellen und natürliches Schließen: Lecture & Seminar
  4. Multivariate Statistik: Lecture & Exercise
  5. Robotik: Lecture & Exercise
  6. Einführung in die Wahrscheinlichkeitsrechnung, Stochastik: Lecture & Exercise
  7. Computational Physics CP1: Lecture & Exercise
  8. Biometrie: Lecture & Exercise
  9. Inverse problems: Lecture
  10. Nonsmooth Optimization/Nichtglatte Optimierung: Lecture

The past offered courses can be found here. For questions about existing or future courses, please contact Alexandra Moringen.