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Artificial Intelligence● OpenMastersPreview

Master of Science in Artificial Intelligence

A research-oriented Master's programme focusing on the mathematical foundations and real-world deployment of advanced AI models.

Best for:Best for students with a strong background in mathematics and computer science seeking a research-intensive AI education.

University of Bonn · Bonn, Germany · R1 · First-stage researcher
More professors at University of Bonn
Machine LearningDeep LearningComputer VisionRobot LearningNatural Language ProcessingExplainable AI
This is a masters position — not a PhD studentship.
Deadline
There is an application period that is open for everyone, and one for specific European countries. Check the webpage for the most up to date information. https://www.informatik.uni-bonn.de/en/studies/examination-office/deadlines-at-a-glance#AdmissionMaster
Funding
—
4 semesters
Start date
Winter semester
Full-time
Location
Bonn
Germany

Overview

The Master of Science in Artificial Intelligence at the University of Bonn is a research-focused programme developed in collaboration with the Lamarr Institute for Machine Learning and Artificial Intelligence. Students engage with the mathematical foundations, training, and deployment of modern AI systems to address complex, real-world challenges. The curriculum integrates specialized coursework with cutting-edge research, offering students opportunities to collaborate with international research institutions and technology companies. Graduates are prepared for advanced technical roles in industry or further scientific careers in academia.

Artificial IntelligenceMachine LearningDeep LearningComputer ScienceMaster of ScienceAI EthicsData Science

What you'll do

  • Complete compulsory foundation modules in machine learning and deep learning principles.
  • Select and complete specialized courses in areas such as computer vision, robotics, or natural language processing.
  • Participate in advanced research-focused labs and seminars to develop domain-specific expertise.
  • Conduct an interdisciplinary project applying AI to real-world problems in fields like physics, medicine, or neuroscience.
  • Complete a final Master's thesis and presentation demonstrating research proficiency.
  • Engage with ethical, legal, and social aspects of AI development and deployment.

Requirements

Degree required: Bachelor's degree in a relevant subject

Degree offered: Master of Science

Language: English; CEFR C1 level (e.g., IELTS 7, TOEFL iBT 95)

Instruction: English

Required skills
  • Mathematical foundations (18 ECTS)
  • Algorithms and complexity theory (14 ECTS)
  • Programming, software technology, and information systems (20 ECTS)
  • Completed Bachelor's thesis (12 ECTS)
  • English proficiency at CEFR C1 level
Eligibility
  • Hold a university degree in a relevant subject
  • Meet specific ECTS credit requirements in mathematics, algorithms, and programming

Funding & terms

Type
Unknown
Amount
—
Duration
4 semesters
Programme
—

Programme and admissions

Admissions not verified

A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.

Intake
Not confirmed by the source
Duration
Not confirmed by the source
Teaching language
Not confirmed by the source
Taught / research mode
Not confirmed by the source
Study mode
Not confirmed by the source
Campus
Not confirmed by the source
Prerequisites
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Application instructions
Not confirmed by the source
Tuition
Not confirmed by the source
Funding
Not confirmed by the source

How to apply

Applications must be submitted through the official university portal. Prospective students should check the university's examination office website for the most current application periods and specific submission instructions.

Documents required
  • University degree certificate
  • Official English language proficiency certificate
  • Academic transcripts
↗Check programme and admissions

Contact

Lab
Lamarr Institute for Machine Learning and Artificial Intelligence
University of Bonn
Germany
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.