PhD Programme in Data Science at University of Göttingen University of Göttingen in Germany

The PhD Programme in Data Science (PDS) at the University of Göttingen offers an interdisciplinary research environment at the intersection of computer science, mathematics, statistics, and various application domains. Hosted by Göttingen's Campus Institute Data Science (CIDAS) and part of the Georg-August University School of Science (GAUSS), the programme is designed for students interested in both foundational and applied aspects of data science, including its societal implications.

Upon admission, students join CIDAS and benefit from its activities and resources. The programme typically lasts three years (six semesters), during which students work directly on their chosen thesis topic within a research group. Progress is monitored annually by a thesis committee, and students are expected to publish conference papers and participate in scientific community activities. The thesis can be written in English or German, with English as the standard language.

International elements include training in intercultural skills, collaboration with partners in Germany and abroad, and participation in international conferences. Students are integrated into international and interdisciplinary teams and networks. The university provides a range of support services for international students, including orientation weeks, study buddy programmes, and German language courses during studies (free of charge).

There are no tuition fees, but a semester contribution of around 400 EUR covers regional transport and cultural benefits. Living costs in Göttingen are moderate, estimated at 750–850 EUR per month. The university does not offer internal funding for this programme, so applicants must secure their own financing. The Accommodation Service assists international students in finding housing, but early contact is recommended due to limited availability.

Applicants must have a qualifying Master's degree (at least 240 ECTS or equivalent) in a field related to data science, such as machine learning, statistics, computer science, or mathematics. Acceptance by a PhD supervisor and formation of a thesis committee are required. While there are no formal language requirements, English proficiency tests like IELTS, Cambridge Main Suite, or TOEFL are recommended. Applications are accepted year-round, and detailed instructions are available on the programme website.

Career advisory services, start-up support, and research training are available through GAUSS and the university's Career Service. For more information, visit the programme and university websites.