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 a comprehensive and interdisciplinary research environment for students interested in the foundations, applications, and societal implications of data science. 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 candidates who wish to pursue advanced research in data science, integrating elements from computer science, mathematics, statistics, and related fields.

Upon admission, PhD students join a research group and begin work on their chosen thesis topic. The programme typically spans three years (six semesters), during which students are expected to present their progress annually to a thesis committee and demonstrate additional academic achievements such as publishing conference papers and organizing lectures. The curriculum emphasizes integration into the scientific community and encourages participation in international conferences and collaborative projects with partners in Germany and abroad.

International students benefit from a range of support services, including intercultural training, orientation weeks, and the Study Buddy Programme. The International Office assists with accommodation and adaptation to university life. Students also have access to career advisory services, start-up support, and qualification formats offered by the university and GAUSS school.

There are no tuition fees for the programme, but students must pay a semester contribution of approximately 400 EUR, which covers public transportation and cultural event discounts. The average cost of living in Göttingen is estimated at 750 to 850 EUR per month, including accommodation, food, health insurance, and books. It is important to note that the university does not provide funding opportunities for this programme, so applicants must secure their own financial resources.

Eligibility requirements include 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. Applicants must obtain acceptance from a PhD supervisor and form a thesis committee. While there are no formal language requirements, proficiency in English is expected, and language test scores (IELTS, Cambridge Main Suite, or TOEFL) are recommended.

Applications are accepted year-round. Prospective students should consult the programme website for detailed instructions, select a supervisor from the provided list, and submit their application online. For further information and application links, visit the official programme pages.