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Fully Funded Data Science for Social Good 2026 Fellowship in Germany | €1,500 Monthly Stipend | Apply by April 24

Fully Funded Data Science for Social Good 2026 Fellowship in Germany | €1,500 Monthly Stipend | Apply by April 24
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Looking for a fully funded international fellowship in Europe? Applications are now open for the Data Science for Social Good (DSSGx Munich) 2026 Fellowship in Germany. This prestigious 2-month summer fellowship brings talented students, graduates, and researchers from around the world to Munich to work on real-world data science projects that create meaningful social impact.

Hosted in partnership with the Munich Center for Machine Learning (MCML) and held at LMU Munich, this program offers fellows the opportunity to gain practical experience, collaborate with experts, and receive a monthly scholarship of approximately €1,500.

Why You Should Apply for DSSGx Munich 2026

The Data Science for Social Good Fellowship is more than just a training program. It is a hands-on experience where selected fellows work in teams to solve pressing social challenges using data-driven solutions.

Participants will contribute to impactful projects, build technical and leadership skills, and expand their international network while living in one of Europe’s most vibrant cities.

Fellowship Location

Munich, Germany
Hosted on-site at LMU Munich

Program Duration

August 3, 2026 – October 2, 2026

Application Deadline

April 24, 2026

Financial Benefits

Selected fellows will receive:

  • Full-time scholarship for the duration of the fellowship
  • Approximate stipend of €1,500 per month
  • Mentorship from experienced technical experts and project managers
  • Practical experience on real-world projects
  • Educational lecture series and workshops
  • Global networking opportunities
  • International teamwork experience
  • Opportunity to create measurable social impact

What Kind of Projects Will Fellows Work On?

One of the highlighted 2026 projects focuses on improving Collaborative Care for Depression in German primary care. Fellows will analyze healthcare datasets, identify effective treatment combinations, and help build predictive tools for better patient outcomes.

This means your skills can directly contribute to better healthcare systems and smarter social interventions.

Who Can Apply?

Applications are open to candidates from diverse academic and professional backgrounds, including:

  • Data Science
  • Computer Science
  • Statistics
  • Social Sciences
  • Natural Sciences
  • Engineering
  • Other related disciplines

You do not need to be an expert programmer, but experience with data or coding is highly valued.

Requirements

Applicants should be able to:

  • Commit full-time for the entire program duration
  • Attend the fellowship on-site in Munich
  • Work effectively in interdisciplinary teams
  • Demonstrate motivation for social good projects
  • Communicate well in English
  • Hold a visa or citizenship that allows stay in Germany during the fellowship

Why This Fellowship Stands Out

Unlike many academic programs, DSSGx Munich focuses on solving real-world challenges with direct community value. You will leave with project experience, mentorship, global connections, and stronger career prospects in data science and impact-driven work.

How to Apply

Submit your application through the official application portal before the deadline.

Apply early to avoid last-minute issues and give yourself time to prepare a strong application.

APPLY HERE. 

For more information about this apportunity, click here

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Final Thoughts

If you are passionate about using technology, machine learning, and analytics to improve lives, this is one of the best funded fellowships in Europe to consider in 2026. With financial support, expert guidance, and real impact projects, DSSGx Munich can be a major step in your career journey.

Apply before April 24, 2026.


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