Master of Science in Human-Centred Artificial Intelligence
Interdisciplinary AI programme blending computer science, data science, and human-centred design for ethical, user-focused AI systems.
Best for:Best for graduates with a background in computer science, information science, or related fields who seek to specialise in ethical, user-centred AI development with interdisciplinary exposure.
Overview
This Master of Science programme at the University of Regensburg focuses on developing AI systems that prioritise human needs and ethical considerations. Students gain advanced technical skills in computer science and data science while exploring human-computer interaction and psychology. The curriculum combines core modules on AI ethics, human-centred design principles, and specialised topics like natural language processing, recommender systems, and explainable AI. Flexibility is key, with elective modules allowing students to tailor their studies to interests in information science, psychology, or data science. The programme emphasises research practice through project seminars and culminates in a Master’s thesis, preparing graduates for careers at the intersection of technology and human-centred innovation.
What you'll do
- Develop AI systems that prioritise human needs and ethical considerations through advanced technical and interdisciplinary training.
- Engage in research projects focusing on natural language processing, recommender systems, and information retrieval with a human-centred approach.
- Participate in lectures, seminars, and project-based learning to apply theoretical knowledge in practical settings.
- Conduct independent research and prepare scientific presentations or papers on current topics in human-centred AI.
- Collaborate in team-based projects to simulate real-world research environments and prepare for a Master’s thesis.
- Explore elective modules to specialise in areas such as explainable AI, generative AI, or empirical human-centred AI.
Requirements
Degree required: Bachelor’s degree in Information Science, Computer Science, Data Science, or a related field with a final grade of 2.5 or better (or at least 138 credit points with a provisional final grade of 2.5 or better).
Degree offered: Master of Science
Language: English proficiency at level B2 (CEFR), proven by a certified language test (e.g., PTE Academic: 59, TOEFL iBT: 79, IELTS Academic: 6.5, UNIcert® II, or Cambridge English Qualifications: B2 First).
Instruction: English
- Proven knowledge of natural language processing (minimum 18 credit points)
- Proven knowledge of information retrieval (minimum 18 credit points)
- Proven knowledge of empirical and statistical research methods (minimum 12 credit points)
- Proven programming skills (minimum 12 credit points)
- Competencies in task models, machine learning methods, and linear algebra (minimum 12 credit points)
- Applicants from non-Lisbon Recognition Convention countries must pass the GRE General Test.
- Applicants without a German university entrance qualification must submit a preliminary documentation (VPD) from uni-assist.
- No minimum German language proficiency required, though recommended for integration.
Funding & terms
Programme and admissions
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How to apply
Deadline: 2027-06-01
Applicants must submit their application through the University of Regensburg’s Campus Portal. Required documents include a completed application form, proof of degree, transcripts, language proficiency certificate, and any additional documents such as GRE scores or VPD if applicable. Detailed instructions and the application form are available on the programme’s website.
- Completed application form
- Proof of Bachelor’s degree
- Transcripts of academic records
- English proficiency certificate (B2 level)
- Proof of credits in natural language processing, information retrieval, empirical research, and programming
- GRE General Test score (if applicable)
- Preliminary documentation (VPD) from uni-assist (if applicable)
Contact
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