Application Period Wintersemester 2022/23

The application period for admissions in winter 2022/23 has ended. You can find the requirement and application procedure for applying on our application page here

  • Total Applications received this time: 1130
  • Uni-assist processing complete
  • Selection procedure finished
  • Response to accepted students SENT
  • Rejected candidates will receive their rejection notification later than 15th August, 2022
  • Accepted students to accept their admission by 7th September, 2022
  • Enrollment details for accepted students here

Recommended Study Plans


Modules are containers that can be filled with courses; often, several alternative courses are linked to a module and can be selected. In order to take any course, you have to book the course under a module in the University of Potsdam's study-program management software PULS. In many cases, you can log into PULS and navigate to the node "Vorlesungsverzeichnis / Mathematisch-Naturwissenschaftliche Fakultät / Institut für Informatik und Computational Science / Master of Science / Data Science" to see which courses are available for each module.

It is also worthwile to browse the complete course catalog for courses that relate to the topic of a module but are not linked to the module in PULS. If the faculty member who is responsible for the module agrees that the course is a fit, then Wolfgang Severin can link the course to the module and the course can be taken. This, however, is only possible in the first two weeks of each semester.

The following paragraphs provide additional detail information regarding some specific modules.

Applied Data Science and Advanced Applied Data Science

For this module, you can select any course at the University of Potsdam which deals with applications of data-science methods in any field. The course has to match your qualification state in that field. For example, courses in bioinformatics, geoscience, remote sensing, and computational linguistics can be suitable. When the faculty member of any course agrees that the course is suitable for you and Prof. Scheffer agrees that the topic falls into the broad category of applied data science, a link between this module and the course in question is created in PULS; this is only possible until October 31.

The following courses are recommended for this module.

  • Ringvorlesung interdisziplinäre Mathematik: eine projektorientierte Einführung (Department of Mathematics).
  • Statistics for Stochastic Processes (Department of Mathematics)
  • Ausgewählte Methoden und Techniken der Systembiologie und Informatik (Department of Biochemistry and Biology)
  • Remote sensing of the environment (Department of Earth and Environmental Sciences)
  • Bioinformatik biologischer Sequenzen / evolutionary genomics (Department of Biochemistry and Biology)

Research Module A and Research Module B

We recommend that you complete your coursework, and then determine you have accumulated 78 or 75 credit points; the result depends on the number of 6 and 9 credit-point modules you booked. Choose the research module that lands you at 90 credit points; your master’s thesis will win you the final 30 points.

In order to find a research module, get an appointment with any faculty member at the University of Potsdam whose course you enjoyed and who works on topics that you are interested in. Discuss possible topics and agree on how you will carry out your project under their supervision. Register for the course “research module A” or “B” in PULS. Once you have completed your research, ask your advisor to send a message with your grade to Alexandra Roy; she will create an individual exam in PULS and book the grade.

Mathematical Foundations of Data Science

Most courses offered by the Department of Mathematics can be booked under this module. If a course is not listed under this module, ask the responsible faculty member for approval and ask Wolfgang Severin to create the link in PULS.

Computational Foundations of Data Science

Most courses offered by the Department of Computer Science can be booked under this module. If a course is not listed under this module, ask the responsible faculty member for approval and ask Wolfgang Severin to create the link in PULS.

Applied Data Science Internship

In order to do an external internship, you have to find:

  1. An organisation which will host your internship and let you work on a research project, and
  2. A faculty member (any faculty member at the Detartments of Computer Science or Mathematics) who is willing to supervise your internship.

If your superviser agrees to your internship project, register for the module in PULS. In you internship, you have to work on a suitable project and obtain results in some form. These results have to be documented in a written report and presented to your supervisor in a presentation. If your internship is completed, you have submitted your report and defended your results in a presentation, ask your superviser to send an email with your grade to Alexandra Roy. She will create the exam in PULS and book your grade.