Digitalization in the Life Sciences

AI and machine learning are no longer up in the air. Whether searching for series on streaming
platforms, control of the smart home infrastructure or analyzing research data - algorithms accompany
us through everyday life. A basic understanding of these technologies is the prerequisite for
understanding, classifying, and shaping digital trends. Additionally, data literacy is one of the core
competencies of the 21st century: It is the basis for dealing competently with large amounts of present
data.

Nevertheless, topics that teach IT skills in an interdisciplinary context for students of life science
disciplines are so far underrepresented at universities. This knowledge is not only a unique selling
point for students’ CVs; students can also use knowledge in intelligent data analysis (e.g., using
machine learning) within their final thesis. Accordingly, this subject area is proposed to address those
essential skills.