PhD Programme in Data Science (PDS)
An interdisciplinary doctoral programme at the University of Göttingen focusing on the foundations, applications, and societal implications of data science.
Best for:Best for highly motivated researchers with a Master's degree in a data-related field seeking a structured, interdisciplinary PhD environment.
Overview
The PhD Programme in Data Science (PDS) at the University of Göttingen is an interdisciplinary doctoral initiative hosted by the Campus Institute Data Science (CIDAS). It brings together expertise from computer science, mathematics, and statistics to address complex, data-driven challenges. Students engage in research ranging from fundamental theoretical developments to empirical applications and the broader societal impacts of data science. The programme is integrated into the Georg-August University School of Science (GAUSS), ensuring a structured research environment with dedicated supervision and committee oversight. Participants benefit from membership in CIDAS, providing access to a vibrant network of researchers and various academic activities.
What you'll do
- Conduct independent research on a chosen topic within the field of data science.
- Present annual progress reports to a designated thesis committee.
- Contribute to the scientific community through the publication of conference papers.
- Organize academic lectures or workshops to demonstrate professional integration.
- Participate in the activities and networking events hosted by CIDAS.
- Complete the doctoral thesis within the standard three-year timeframe.
Requirements
Degree required: Master's degree (or equivalent, e.g., Diplom) in a data-related field such as Data Science, Machine Learning, Statistics, Computer Science, or Mathematics, comprising at least 240 ECTS.
Degree offered: PhD
Language: English (B2 level required, verified via placement test or interview).
Instruction: English
- Strong academic background in data science, mathematics, or related quantitative disciplines.
- Acceptance by a qualified PhD supervisor within the PDS programme.
- Ability to form a thesis committee consisting of two additional members.
- English language proficiency at B2 level or higher.
- Successful completion of a qualifying Master's programme or equivalent (minimum 240 ECTS).
- Formal acceptance by a PDS-approved supervisor.
Funding & terms
Programme and admissions
Admissions not verified
A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.
- Intake
- Not confirmed by the source
- Duration
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- Teaching language
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- Taught / research mode
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- Study mode
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- Campus
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- Prerequisites
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- Application instructions
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- Tuition
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- Funding
- Not confirmed by the source
How to apply
Interested candidates should identify a potential supervisor from the PDS list and secure their agreement for supervision. Once a supervisor is confirmed, applicants must follow the specific admission procedures outlined on the official programme website.
- Academic transcripts
- Proof of English proficiency
- Supervision agreement
Contact
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