Master of Science in Artificial Intelligence and Health Informatics
Interdisciplinary MSc programme blending AI, healthcare data, and medical informatics for real-world health innovation.
Best for:Best for professionals or graduates with a background in computer science, data science, or healthcare-related fields seeking to specialise in AI-driven health informatics and innovation.
Overview
This Master of Science programme at Neu-Ulm University of Applied Sciences integrates Artificial Intelligence, Medical Informatics, and Healthcare Strategy to prepare graduates for interdisciplinary roles in health data management, AI ethics, and healthcare innovation. Over four semesters, students build foundational knowledge in medicine, AI, and healthcare processes, then specialise in advanced data analytics, AI governance, and practical research projects. The curriculum emphasises hands-on learning, with a focus on ethical frameworks, regulatory compliance, and applying AI solutions to healthcare challenges. Part-time study options allow professionals to pursue the degree alongside work. The programme is taught entirely in English, with optional German modules for deeper integration into the German healthcare landscape.
What you'll do
- Develop a strong foundation in key areas such as Medicine and Nursing, Medical Informatics, Artificial Intelligence, and Healthcare Strategy and Entrepreneurship.
- Apply methodological skills to interdisciplinary projects in healthcare, focusing on data processing, process design, and ethical frameworks.
- Work on project-based assignments in the second semester, addressing practical research questions in healthcare AI.
- Conduct advanced data analysis and explore responsible management of AI systems and health data in the third semester.
- Independently research and develop a specialised Master’s thesis in Medical Informatics, Artificial Intelligence, or Healthcare Strategy, demonstrating scientific rigor and critical thinking.
- Engage in international projects and collaborations with partners in Germany and abroad.
- Develop innovative solutions for real-world healthcare challenges through hands-on research and practical applications.
Requirements
Degree required: Bachelor’s degree (or equivalent) with at least 210 ECTS credits in Computer Science, Computer Engineering, Software Engineering, Artificial Intelligence, Data Science, Digital Health, or related fields. Applicants with only 180 ECTS credits must provide evidence of either co-authorship of a research publication or six months of relevant professional experience.
Degree offered: Master of Science (MSc)
Language: English proficiency at B2 level (official certificate required) and German proficiency at A2 level (official certificate required for international applicants).
Instruction: English (with optional German modules in second and third semesters)
- Proficiency in programming and data analysis tools relevant to AI and healthcare informatics
- Understanding of fundamental concepts in Medicine, Nursing, and Medical Informatics
- Ability to work in interdisciplinary teams and apply knowledge to practical healthcare challenges
- Basic knowledge of healthcare processes and data management
- Open to applicants from all countries
- No age restrictions
- No specific nationality or residency requirements
- Applicants with degrees from non-Lisbon Convention institutions must complete a GRE General Test
Funding & terms
Programme and admissions
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How to apply
Deadline: 2027-07-15
Applicants must submit their application through the university’s official portal. Required documents include a completed application form, proof of degree, transcripts, language proficiency certificates (English B2 and German A2), and any additional documents such as GRE scores or proof of professional experience if applicable. Applications for the winter semester must be submitted between May 2 and July 15.
- Completed application form
- Proof of Bachelor’s degree (or equivalent)
- Transcripts of academic records
- English proficiency certificate (B2 level)
- German proficiency certificate (A2 level)
- GRE General Test score (if applicable)
- Proof of relevant professional experience or research publication (if applicable)
- Passport-sized photograph
Contact
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