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 2026/27:

  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. Project Planning: Project
  5. Interdisciplinary Data Science: Seminar


The optional courses offered by the institute for the WiSe 2026/27:

  1. Deep Learning and Generative Artificial Intelligence: Seminar
  2. Advanced Topics of Natural Language Processing: Lecture & Exercise
  3. Data Science Seminar: Seminar
  4. Data Visualization: Lecture & Exercise
  5. Geometric Perspectives on High-Dimensional Data Analysis: Seminar
  6. Algorithms and Data Structures for Data Science: Lecture & Exercise
  7. Ethics and Privacy in Machine Learning and Data Science: Lecture & Exercise
  8. Introduction to Physics-informed Neural Networks: Block course & Project
     

The optional courses offered by other institutes for the WiSe 2026/27:

  1. Datenstrukturen und effiziente Algorithmen: Lecture & Exercise
  2. Einführung in die Wahrscheinlichkeitsrechnung, Stochastik: Lecture & Exercise
  3. Computational Physics CP1: Lecture & Exercise
  4. Biometrie: Lecture & Exercise
  5. Angewandte Statistik: Lecture & Exercise
  6. Einführung in die Logik: Lecture & Seminar
  7. Computergrafik I:  Lecture & Exercise
  8. Evolutionäre Algorithmen: Lecture & Exercise

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