AI, data, sustainable agrosystems

New degree programs starting in the winter semester 2024/25

Artificial intelligence development is progressing rapidly, and AI technologies are finding their way into more and more areas of everyday life. This process is accompanied by numerous challenges, whether it is with regard to participation, transparency, regulation, or the labor market. Students of the Master’s program AI in Society at the TUM School of Social Sciences and Technology take an interdisciplinary approach to social problems in the context of AI and develop holistic approaches to solving them.

The business models, processes, and structures of companies of all sizes and industries are some of the areas most affected by fundamental changes brought about by AI applications and other data-driven technologies such as the Internet of Things. The focus of the Bachelor’s program Management and Data Science at the TUM School of Management is how data can be understood and used to develop and implement economic and social innovations.

The combination of large amounts of data, software for their analysis, and hardware for their practical application also holds enormous potential for development, production, and distribution processes in various industries. In the Master’s program Information Engineering offered by the TUM School of Computation, Information and Technology, students learn how to exploit this potential. They analyze existing cyber-physical systems, develop new ones, and put them to use in innovative business models.

Feeding a globally growing population, protecting biodiversity, or promoting sustainable development – agricultural production’s challenges and demands are enormous. At the TUM School of Life Sciences, students in the Master’s program AgriFood Economics, Policy and Regulation learn to understand and analyze the manifold interdependencies and effects of these systems and develop viable solutions for conflicting objectives.