PhD Programme in Biomedical Data Science

The PhD Programme in Biomedical Data Science at Hannover Medical School (MHH) trains doctoral candidates at the intersection of data science and life sciences. Students combine disciplinary expertise in bioinformatics, medical informatics, databases, data mining, machine learning, and related fields with biomedical research skills. Supervision is provided by researchers from MHH and multiple regional partner institutions. The programme awards a PhD or Dr. rer. nat. degree.

Academic requirements

Applicants from computer science must demonstrate adequate understanding of biomedical research; applicants from health sciences must demonstrate competence in data science. The programme commission may propose further qualification measures.

Minimum GPA

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English requirements

Excellent command of English required. No specific standardised test score is listed on the DAAD page.

Accepted bachelor fields

Completed university degree in computer-science-related fields (e.g. medical computer science, bioinformatics, physics, engineering, computer science, statistics, mathematics) or health-science-related fields (e.g. medicine, veterinary medicine, pharmacy, life sciences). Computer science applicants must demonstrate biomedical research understanding; health science applicants must demonstrate data science competence.