Campus view of Heinrich Heine University Düsseldorf showing modern buildings and green spaces
Master of Science
On Campus
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Heinrich Heine University Düsseldorf
Düsseldorf
Germany

Artificial Intelligence and Data Science

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About

The Master of Science in Artificial Intelligence and Data Science is a prestigious international full-time graduate program offered by the University of Düsseldorf. Designed for students seeking to advance their knowledge in the field of intelligent systems and data-driven technologies, this four-semester degree combines academic excellence with practical experience. Students gain expertise in areas such as Machine Learning, Deep Learning, Reinforcement Learning, Natural Language Processing, Bayesian Statistics, Algorithmic Game Theory, and Machine Translation, preparing them for innovative roles in research and industry. Located in Düsseldorf, one of Germany’s leading centers for science and technology, the program emphasizes both theoretical understanding and real-world application. With courses taught primarily in English, it provides an international learning environment that fosters collaboration and cross-disciplinary thinking.

Admitting students exclusively in the winter semester, the program reflects Germany’s commitment to high academic standards and forward-looking education. By combining research-oriented study with hands-on projects, the Master of Science in Artificial Intelligence and Data Science equips graduates with the critical skills and analytical mindset needed to shape the future of artificial intelligence and data science on a global scale.

Key information

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More details
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Key Facts

  • Degree: Master of Science (M.Sc.)
  • Standard period of study: 4 semesters
  • Location: Düsseldorf
  • Study Type: Graduate (full-time, international)
  • Admission semester: Winter semester only
  • Area of study: Artificial Intelligence, Data Science
  • Admission modus: Local admission restriction
  • Main language: English

Program Structure

Semester 1 – Foundations of Artificial Intelligence and Data Science

  • Introduction to Machine Learning
  • Probability Theory and Bayesian Statistics
  • Programming for Data Science (Python & Data Analysis)
  • Mathematical Foundations of AI

Semester 2 – Advanced Methods and Applications

  • Deep Learning and Neural Networks
  • Natural Language Processing
  • Reinforcement Learning
  • Data Visualization and Communication
  • Collaborative Project I (AI application or data-driven research)

Semester 3 – Specialization and Research Practice

  • Algorithmic Game Theory
  • Machine Translation and Multimodal AI
  • Big Data Systems and Cloud Computing
  • Research Methods in AI
  • Collaborative Project II (industry or research-based project)

Semester 4 – Master’s Thesis and Final Project

  • Independent Research Thesis
  • Applied AI or Data Science Project
  • Thesis Presentation and Defense

Career Opportunities

Graduates of the Master of Science in Artificial Intelligence and Data Science program are equipped for a diverse range of roles in the rapidly growing fields of technology, research, and data-driven innovation. Career paths include Machine Learning Engineer, Data Scientist, AI Researcher, Data Analyst, NLP Engineer, Business Intelligence Specialist, and AI Consultant. With Düsseldorf’s strong academic environment and connections to research institutes and tech industries, students gain valuable opportunities to collaborate with companies, participate in projects, and build international professional networks.

Why Choose This Program

Choosing the Master of Science in Artificial Intelligence and Data Science means joining a program that combines academic excellence, hands-on research, and real-world applications. Offered by the University of Düsseldorf, it provides students with access to experienced faculty, modern facilities, and a vibrant academic community.

The program’s strength lies in its interdisciplinary curriculum, international orientation, and focus on innovation. Students not only develop deep technical expertise but also the analytical, problem-solving, and leadership skills needed to succeed in academia and industry.

Contact Information

University of Düsseldorf – Student Advisory Service
Universitätsstraße 1
40225 Düsseldorf, Germany
Tel: +49 211 81-12345
Email: studierendenservice@hhu.de

Programme Contact
Dr. Peter Arndt
University of Düsseldorf
Universitätsstraße 1
40225 Düsseldorf, Germany
Email: master-ai@hhu.de

International Office – University of Düsseldorf
Universitätsstraße 1
40225 Düsseldorf, Germany
Tel: +49 211 81-0
Email: international-office@hhu.de