Technical University of Munich AI Scholarships 2026, Germany

Overview

Host Country: Germany Universities: Technical University of Munich and Ludwig Maximilian University of Munich Program Name: relAI (Konrad Zuse School of Excellence in Reliable AI) Degree Level: Master’s (MSc) Funding Type: Partially to fully funded scholarship support (depending on selection) Fields: AI, Machine Learning, Robotics, Healthcare AI, Data Science Application Deadline: 15 June 2026 Study Intake: Spring or Autumn 2026

Description

Eligibility

Applicants must:

Hold an excellent bachelor’s degree in a relevant field

Show strong academic performance in technical subjects

Demonstrate interest in trustworthy and responsible AI

Have background knowledge in AI, programming, or mathematics

Meet English proficiency requirements (C1 level or equivalent recommended)

Show motivation for research in reliable AI systems

Note: Students with English-taught degrees may also qualify without additional language tests.

Additional Information

Scholarship Summary

Degree Level

The scholarship supports Master’s level studies in:

MSc Artificial Intelligence

MSc Machine Learning

MSc Robotics

MSc Data Science

MSc Computational Science

MSc Medical/Healthcare AI-related programs

Other AI-related interdisciplinary programs at TUM or LMU

Available Subjects

Applicants from the following academic backgrounds are encouraged to apply:

Computer Science

Artificial Intelligence

Machine Learning

Data Science

Mathematics

Engineering

Robotics

Natural Sciences

Medical Informatics / Healthcare AI

Computational Sciences

Benefits

Selected students may receive:

Financial scholarship support during MSc studies

Access to Germany’s leading AI research ecosystem

Mentorship from top AI researchers

Participation in advanced research projects

Training in reliable and ethical AI systems

Access to laboratories and AI innovation centers

Networking opportunities with AI experts and industry partners

Workshops, seminars, and interdisciplinary collaboration

Exposure to robotics, healthcare AI, and safe AI development

Eligible Nationalities

Open to international students worldwide

No nationality restrictions mentioned

Highly competitive selection process

Eligibility Criteria

Applicants must:

Hold an excellent bachelor’s degree in a relevant field

Show strong academic performance in technical subjects

Demonstrate interest in trustworthy and responsible AI

Have background knowledge in AI, programming, or mathematics

Meet English proficiency requirements (C1 level or equivalent recommended)

Show motivation for research in reliable AI systems

Note: Students with English-taught degrees may also qualify without additional language tests.

Required Documents

Applicants generally need:

Academic CV

Bachelor’s degree certificate and transcripts

Motivation letter

Proof of English proficiency (if required)

Academic references or recommendation letters

Statement of interest in AI research

Additional documents required by TUM or LMU MSc admission

Application Process

Apply separately to an eligible MSc program at TUM or LMU

Prepare relAI scholarship application documents

Submit motivation letter and academic records

Apply before the relAI deadline

Shortlisted candidates may be evaluated further

Final selection based on academic excellence and research potential

Important: Admission to TUM or LMU is required, but applicants can apply for relAI before final admission results.

Key Features Of The Program

Focus on safe, ethical, and reliable AI systems

Strong research orientation in machine learning and robotics

Collaboration between TUM and LMU Munich

Integration into Germany’s leading AI ecosystem

Emphasis on real-world applications in healthcare and robotics

Interdisciplinary learning and research opportunities

Frequently Asked Questions Faqs

Who can apply for the TUM AI Scholarships? Students with a strong academic background in computer science, AI, mathematics, engineering, or related fields can apply for MSc studies under the relAI program.

What does the scholarship cover? It provides financial support for MSc studies along with access to research labs, mentorship, and participation in AI research projects.

Is admission to TUM or LMU required first? No. Applicants can apply for the relAI scholarship while simultaneously applying for MSc admission at TUM or LMU Munich.

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Funding

Fully Funded

Organization

Technical University of Munich

Degree

Masters

Subjects

applied artificial intelligence

Nationality

International Students

Country

Germany

Source

Information provided by scholarships_ads.

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