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 diverse applications. 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 reviewed annually by a thesis committee, and students are expected to publish conference papers and participate in lectures, demonstrating integration into the scientific community. The thesis should be ready for submission after three years.

International elements are integral to the programme, including training in intercultural skills, collaboration with partners in Germany and abroad, and participation in international conferences. Students work in international and interdisciplinary teams and are integrated into the networks of participating research groups. While the PhD thesis can be written in English or German (English is standard), there are no formal language requirements, though IELTS, Cambridge Main Suite, or TOEFL are recommended.

There are no tuition fees, but students pay a semester contribution of around 400 EUR, which includes a prepaid semester ticket for regional trains and buses, as well as discounts for cultural events and university canteens. The average cost of living in Göttingen is modest, estimated at 750 to 850 EUR per month, including accommodation, food, health insurance, and books. Students must secure their own financing, as there are no university funding opportunities for this programme.

Applicants must have completed a qualifying Master's programme (at least 240 ECTS or equivalent) with a strong relation to data science, machine learning, statistics, computer science, or mathematics. Acceptance by a PhD supervisor and formation of a thesis committee are required. A list of potential supervisors is available online. The university provides extensive support services for international students, including accommodation assistance, orientation week, study buddy programme, and German courses during studies.

Career advisory services are available, including the Career Service and the 'Start Guides' project, which offers support for developing career perspectives in Germany and start-up assistance. The GAUSS school also provides qualification and training opportunities. For further information and application instructions, visit the programme website and contact potential supervisors early.