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Humboldt-Universität zu Berlin
Bachelor English Social Sciences

Structured PhD Programme in Health Data SciencesHealth Data Sciences

Bachelor

About the Program

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: Methodology: Doctoral students attend courses in HDS domains to learn advanced health data sciences methods that they will later apply in a practical research setting for their individual research projects. Research: Interactive seminars and workshops serve to support doctoral candidates in all stages of their individual research project work, which will ultimately result in three scientific publications. Teaching: Under the guidance of experienced HDS faculty members, doctoral students prepare and teach courses focused on relevant topics.
Show the original English text
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: Methodology: Doctoral students attend courses in HDS domains to learn advanced health data sciences methods that they will later apply in a practical research setting for their individual research projects. Research: Interactive seminars and workshops serve to support doctoral candidates in all stages of their individual research project work, which will ultimately result in three scientific publications. Teaching: Under the guidance of experienced HDS faculty members, doctoral students prepare and teach courses focused on relevant topics.

General Requirements

Specific requirements for this program are not in our database yet. The following are typical for this degree and language in Germany — always verify the exact requirements on the program's official page.

Academic qualification

A recognised higher-education entrance qualification (Abitur or equivalent). International applicants may need recognition via Anabin and, if not directly eligible, a Studienkolleg + assessment exam (Feststellungsprüfung).

Language

English proficiency (typically IELTS ~6.5 or TOEFL iBT ~90). Basic German is helpful for daily life.

Typical documents

  • Recognised diploma and transcript (certified translations)
  • Language certificate
  • Passport and passport photo
  • Tabular CV (Lebenslauf)
  • Letter of motivation (for many programs)
  • Application via uni-assist / VPD (for most international applicants)

Which Professions Does This Program Open Up?

Related profession searches from Bundesagentur für Arbeit (BERUFENET) data:

Explore all professions →

Subjects / Topic Areas

Medical Informatics

Similar Programs

Frequently Asked Questions

Quick answers about Structured PhD Programme in Health Data Sciences at Humboldt-Universität zu Berlin

Is Structured PhD Programme in Health Data Sciences at Humboldt-Universität zu Berlin taught in German or English?

This Bachelor programme is taught in English. Make sure to check the language requirements (e.g. TestDaF, DSH, IELTS or TOEFL) before applying.

How much does the Structured PhD Programme in Health Data Sciences programme cost?

No tuition fee (only semester contribution). International students should also budget around 800–1000 EUR/month for living costs in Germany.

What are the admission requirements for Structured PhD Programme in Health Data Sciences at Humboldt-Universität zu Berlin?

Typical requirements include: a recognised secondary/undergraduate degree, proof of language proficiency (English), and (for non-EU applicants) a uni-assist application plus financial proof (Sperrkonto ~11.904 EUR/year).

When is the application deadline?

Application deadlines vary: winter semester usually closes on 15 July, summer semester on 15 January. Always confirm the exact deadline on the official university website.

Can I work in Germany while studying Structured PhD Programme in Health Data Sciences?

Yes. International students may work up to 140 full days / 280 half days per year without additional permission. After graduation you can apply for an 18-month job-seeker permit.

How do I apply to Humboldt-Universität zu Berlin — directly or via uni-assist?

Most German universities accept international applications through uni-assist for document verification. Some unis accept direct applications — check the programme page on the official site.

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