Master in AI Biostatistics And Bioinformatics

Rosenheim Technical University of Applied Sciences is a practice-oriented institution in Bavaria, offering a portfolio of applied bachelor and master programs across engineering, business, IT, design and health sciences. Founded as a modern applied university, TH Rosenheim serves around 7,400 students, including a significant international cohort, and emphasizes hands-on learning and industry relevance within a scenic Alpine region.

The university maintains strong partnerships with regional and international companies, enabling applied research projects, internships and dual-study pathways that integrate academic learning with workplace experience. English-taught programs such as Applied Artificial Intelligence and International Wood Technology reflect TH Rosenheim's commitment to globalised curricula, while small class sizes and up-to-date facilities support practical skill development.

Students benefit from targeted support for international applicants, orientation activities and career services that facilitate professional entry in Germany and beyond. The surrounding region offers a high quality of life and excellent opportunities for outdoor recreation, complementing an educational model focused on employability. For prospective students seeking applied, industry-connected education in Germany, TH Rosenheim combines technical depth with practical experience and strong student support.

Graduates of the AI Biostatistics and Bioinformatics master programme are positioned to contribute to advancements in building biology, indoor health, and related sectors, with alumni often pursuing careers in research, public health, and material science. The programme is located within the TTZ Building Biology, Airway and Indoor Health, and focuses on the implementation of artificial intelligence (AI) and biostatistical and bioinformatic methods in data analysis, providing robust statistical and computational support for research activities, including basic research, applied research, and transfer.

Our mission is to develop AI-powered models that can decipher the complex relationships between building materials, indoor environments, and human health. For example, students will work with data from air quality sensors to identify biomarkers for building-related illnesses, leading to the development of rapid and accurate diagnostic tests. Other key research areas include personalized building ecology and the optimization of material selection, building design, and control systems to enhance indoor environmental quality (IEQ, IAQ).

Our expertise spans biostatistics, epidemiology, and spatial statistics, applied in the context of building biology. Through the collaboration with architects, engineers, materials scientists, and healthcare experts, this programme actively contributes to translating research findings into practical applications and solutions to inform building standards and regulations.