August 5 to August 16, 2019

Summer School "Data Science"

Data Science is quickly emerging as an indispensable tool for scientific work and research. Young researchers from all scientific disciplines can greatly benefit from learning what the field of data science encompasses, how data science can be applied to scientific inquiries, and what skill-set a data scientist should hope to acquire in a world deluged by data. The goal of this summer school is to improve the existing methodological knowledge and skills of young researchers in order to pave their way to becoming proficient data scientists.

We therefore encourage students from all disciplines to apply for the third International Göttingen Summer School on Data Science. If you have successfully earned a Bachelor-Degree or higher, you are welcome to apply. Take the chance to discover new data-science methods and technologies and the theory behind them, and learn how to apply them through interactive and collaborative hands-on sessions. You can also take advantage of this intense two-week program to become familiar with the Göttingen Campus, a scientific hub, and network with students from a variety of countries and institutions.

August 5 to August 16, 2019
Application deadline: January 22, 2019

Deadline extended to February 5, 2019!


This two-week summer school will be an extremely interesting, interactive, and intensive course. It aims at advanced Master- and beginning PhD students from any discipline who are interested in learning about the many facets of data science.
In a series of lectures by experts from a wide range of scientific disciplines (e. g. computer science, mathematics, economics, geography, medicine, (statistical) bioinformatics, and engineering sciences), the participants will be introduced to the field of data science from different vantage points. Practical sessions will allow students to apply different theories and methods in practice, both individually and in teams.

Data Science related topics and methods covered:

  • The data lifecycle
  • Best Practices in data management
  • Methods (modelling, statistics, mining, …)
  • Infrastructures and platforms
  • Application examples
  • Ethical, legal, and social aspects

All topics are complemented with exercises from real world examples. In addition, there will be short presentations, interactive sessions and teamwork activities, enabling participants to present and discuss their own work and ideas. Keynotes on specific topics will round up the program.

Beside the scientific program, there will also be a social program, which includes different events such as sightseeing tours, hiking trips and a joint barbecue.


Upon successful completion of the program participants will be granted 4 ECTS credit points.

Credits in ECTS can only be obtained after successful completion of the work-load required. Student workload in ECTS consists of the time required to complete all planned learning activities such as attending lectures, seminars, independent and private study, preparation of projects, examinations, and so forth. International participants who wish to receive credits for attending short term programs should check transfer policies with their academic advisor or the international office at their home institution.


The Summer School will take place at the historical building "Alte Mensa", located at the Wilhelmsplatz in the center of Göttingen. Map of the area

Fees & Funding

Participation is free of charge for the selected candidates.

Due to the generous funding of the DAAD, the Summer School will be able to provide free organized accommodation in double rooms for the selected international students. Co-funding for travel (paid as fixed country-specific travel allowance) will also be available for international participants.

All other individual incurred costs related to the participation in the summer school (food, visa fees, adequate insurance etc.) have to be covered by the participants themselves (or by their respective home institutions).


This Summer School addresses Master- and early PhD students of all disciplines. Students from the University of Göttingen are explicitly invited to apply. In order to participate in the Summer School you have to be enrolled at a university during the time of the program.

Please apply for the Data Science Summer School via the application portal.
Required documents:

  • Your CV
  • a letter of motivation

Clearly indicate your experience in related software, tools, statistics or programming languages such as a R or Python. Some lectures and practical sessions will benefit from pre-knowledge but we do not apply strict qualification criteria. We also distribute materials and online course for preparation to successful candidates.

All documents have to be written in English and uploaded as .pdf.

After successful submission of the application you will receive an automatic confirmation via email.
Notification of successful applications by the end of February 2019.

Application deadline: January 22, 2019

Deadline extended to February 5, 2019!

Apply here


The Summer School will be organized jointly by the Institute of Computer Science, the GWDG’s and SUB’s joint service unit on research data management - Göttingen eResearch Alliance, and the University Medical Centre.
Namely (in alphabetical order):

  • Dr Sven Bingert (GWDG)
  • Tal Dankovich (UMG)
  • Timo Gnadt (SUB)
  • Prof. Dr Jens Grabowski (Institute of Computer Science)
  • Prof. Dr Ulrich Sax (University Medical Centre)
  • Lena Steilen (GWDG)
  • Prof. Dr Ramin Yahyapour (Institute of Computer Science)