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PhD

Structured PhD Programme in Health Data Sciences

Humboldt-Universität zu Berlin

Berlin, GermanyData Science & AI
Free Tuitionfull-time

Degree

PhD

Language

English

Tuition

Free

Duration

6 semesters

Programme Overview

Structured PhD programme in health data sciences combining quantitative methods, public health, and health-related data analysis in the Charite/Humboldt research environment.

Admission Requirements

Academic requirements

Proof of eligibility for a doctoral degree per the requirements outlined by the Charité – Universitätsmedizin Berlin (Promotion eligibility)

Minimum GPA
No fixed minimum GPA is published.
English requirements
English at B2 CEFR is required.
Accepted bachelor fields
Requires a relevant background in data science, computer science, statistics, bioinformatics, epidemiology, public health, medicine, mathematics, or a closely related field.
APS Certificate
No
Thesis required
Yes

Costs & Funding

Tuition fee
None
Semester contribution
Semester registration fees are required each term for matriculation at Charite and student benefits, including the semester ticket for public transport.
ECTS credits
30 ECTS credit points
Funding info

Tuition: None Semester contribution: Semester registration fees are required each term for matriculation at Charite and student benefits, including the semester ticket for public transport.

Career Outcomes

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.

Typical job roles

Academic researcherPostdoctoral fellowResearch scientistHealth data scientist

Target industries

AcademiaResearch institutionsPublic health organizationsPrivate health sector

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Programme details

Degree
PhD
Language
English
Duration
6 semesters
Mode
full-time
Start
Winter semester
Deadline
28 February (annual)

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