Master of Science in Artificial Intelligence and Data Science
A two-year English-taught programme at Heinrich Heine University Düsseldorf focusing on AI theory, deep learning, and real-world applications.
Best for:Best for graduates in mathematics, computer science, physics, or related fields with a strong background in analysis, linear algebra, and statistics, seeking to specialize in AI and data science applications.
Overview
This Master of Science programme at Heinrich Heine University Düsseldorf offers a rigorous two-year curriculum in Artificial Intelligence and Data Science. Students explore theoretical foundations and practical applications, including natural language processing, computer vision, and biomedical data analysis. The programme emphasizes machine learning and deep learning, with a strong focus on algorithmic innovation and problem-solving in academic and industrial settings. Graduates gain expertise in mathematical and statistical methods, state-of-the-art algorithms, and research execution, preparing them for careers in AI-driven industries or further academic research. The curriculum includes core courses, elective modules, lab rotations, and a master’s thesis, ensuring a well-rounded and specialized education.
What you'll do
- Complete four core courses in advanced programming, machine learning, mathematical foundations, and deep learning.
- Participate in two lab rotations (10 ECTS each) in research groups or industry settings, focusing on practical AI/data science projects.
- Write and defend a master’s thesis (26 ECTS) under faculty supervision, demonstrating independent research skills.
- Select elective courses (35 ECTS) to tailor the programme to specific research interests in AI/data science.
- Engage in interdisciplinary projects with partners in Germany and abroad, fostering international collaboration.
- Develop skills in applying AI techniques to solve real-world problems in industry or academia.
Requirements
Degree required: Bachelor's degree in Mathematics, Computer Science, Physics, Electrical Engineering, or a related field with 30 ECTS in Analysis I+II, Linear Algebra I, and either Stochastics I or Numerics I, at a level equivalent to HHU’s computer science standards.
Degree offered: Master of Science
Language: English proficiency at B2 level (or equivalent); official certificate required (e.g., TOEFL iBT 4 in all sections, IELTS Academic 6, or Cambridge English B2 First).
Instruction: English
- Proven proficiency in mathematical and statistical analysis (30 ECTS minimum).
- Strong programming skills (e.g., Python, Java, or similar).
- Basic understanding of algorithms and data structures.
- Ability to work independently on research projects.
- Familiarity with machine learning concepts and tools.
- Bachelor’s degree with a final grade of no lower than 2.5 (German grading system).
- No German language skills required.
- Open to international applicants (no nationality restrictions).
- No age restrictions.
Funding & terms
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
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- Teaching language
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- Taught / research mode
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- Study mode
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- Campus
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- Prerequisites
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- Tuition
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- Funding
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How to apply
Deadline: Varies (check university website for specific application periods)
Applicants must submit their application through the university’s official portal. Required documents include a completed application form, proof of degree, transcripts, language proficiency certificate, and a CV. Additional materials may be requested based on individual eligibility. Detailed instructions are available on the programme’s website.
- Completed application form
- Proof of Bachelor’s degree
- Transcripts of all university studies
- Official English proficiency certificate (B2 level)
- CV (Curriculum Vitae)
- Letter of motivation (if required)
Contact
HeiCAD Admissions Office· Programme Coordinator
https://www.heicad.hhu.de/lehre/masters-programme-ai-and-data-science/application
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