The working language of the HDS PhD programme is English. The final dissertation must be submitted in English, and all required HDS coursework will be completed in English. Many of the elective offerings are also in English, and it is possible to complete the HDS programme without any German language knowledge. German speaking students could also take courses in German for elective credit (as long as these are relevant to HDS and approved by the HDS PhD Board).
Application period: 15 January until 29 February 2024
The goal of the multidisciplinary doctoral programme in Health Data Sciences for outstanding junior researchers is to provide a structured framework of studies, research, and teaching for promising scientists in the disciplines of Health Data Sciences (HDS).
The programme places particular emphasis on preparing students for future careers at universities, non-university research institutions, and other scientific public or private institutions in the fields of biostatistics, epidemiology, meta-research, population health science, public health, and medical informatics.
The scientific coursework serves to deepen methodological knowledge, instil fundamentals of sound scientific research practice, and promote effective dissemination of knowledge through teaching. The programme has three main focus areas:
In total, HDS PhD students must earn 30 ECTS credit points throughout the three-year programme. These points are divided as follows:
Under the guidance of experienced HDS faculty members, doctoral students are required to participate in a Mentored Teaching module to learn and hone their skills in didactics, curriculum development, information synthesis, and scientific communication. In this module, students will be involved in all aspects of a Master's level course in one of the HDS domains. Experienced university lecturer mentors will provide regular support and coaching as well as constructive feedback.
The HDS PhD programme does not charge any tuition fees. Students, however, are required to pay registration fees every semester to be officially matriculated at the Charité and receive student benefits, such as discounted registration to conferences and the semester ticket for public transportation.
Level B2 according to the Common European Framework of Reference for Languages (CEFR)
Please find details here.
Much of the programme coursework requires the use of statistical programmes. Most students will use R software, though some students will use other programmes, such as Python, Stata, or SAS.
Application period: 15 January until 29 February 2024
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