AI in Society

The development of artificial intelligence is progressing rapidly and AI technologies are finding their way into an increasing number of areas of everyday life. This is accompanied by numerous challenges, whether in terms of participation, transparency, regulation, or the labor market. Students of the Master's degree program AI in Society (M.Sc.) deal with social problems in the context of AI from an interdisciplinary perspective and develop holistic approaches to solve them. The degree program is equally research- and application-oriented. It provides a deep understanding of AI technologies and their use, from medical diagnostics to autonomous vehicles. Students work with neural networks, machine learning and deep learning, generative AI or natural language processing. The focus is on questions relating to the traceability and interpretability of algorithms and the avoidance of biases, ensuring data protection and security, the importance of fair access to AI technologies, and their beneficial application in business and society. Graduates of the degree program are not only familiar with the technical dimensions of AI applications, but also with their legal, ethical, and political implications. They are able to recognize, analyze and regulate the potentials and problems of innovative AI technologies in order to ensure their responsible use. This makes them excellently qualified for a wide range of tasks in the tech industry as well as for positions of responsibility in public administration or scientific research. The comprehensive description of the study program can be found in the following study program documentation: Degree program documentation for the Master’s program in AI in Society (PDF) Program structure The Master program “AI in Society” covers a wide range of topics from the technical aspects of AI and data science to the societal implications, regulation, and governance  of AI. The curriculum includes foundational courses in AI and data science , programming and data processing , as well as specialized courses on topics such as deep learning, human-AI interaction , and natural language processing. It also includes courses that focus on the societal aspects of AI, such as governance, law and regulation of AI , AI in diverse societies , and elective modules in different societal application areas of AI . In this way the program prepares students for roles bridging technical AI and societal implications. Language of instruction Required language skills for admission: You need sufficient English language skills if you wish to apply for this program. Evidence of your language proficiency has to be submitted before the end of the application deadline. Learn more about recognized certificates and other ways to prove your English language skills . This evidence of your language proficiency confirms that you comply with the minimum language requirements for admission to the program. Depending on the program and your individual background, it may be necessary for you to keep working on your language skills during your studies. Be sure to take a look at the services of our Language Center. Language of instruction: The language of instruction for this program is English. Information on study organization Information on exams Information on studying abroad Fees for the program The tuition fees for international students from third countries for this degree program are 4,000 euros per semester . This amount is charged for full-time study. Many international students can have their fees waived or receive scholarships to finance them. You can find all information on waivers and scholarships here. Please note: The semester fee as a contribution to the student union must be paid additionally. It varies depending on where you are studying. You can find all information on the semester fee here. Academic Regulations:

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