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Master
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AI in Society

Technical University of Munich

Duration

4 semesters

Language

English

Tuition

4000.00 EUR/semester

Deadline

See university

About this program

AI is finding its way into more and more areas of everyday life. This brings about numerous challenges, e.g., regarding participation, transparency, regulation, or the labor market. Students of the AI in Society program deal with societal problems in the context of AI and develop holistic solutions. 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 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.

Study mode

Full-time

ECTS

120 ECTS

Campus

Munich

Specializations

AI and data science
programming and data processing
deep learning
human-AI interaction
natural language processing
governance, law and regulation of AI
AI in diverse societies

Career paths

tech industry
public administration
scientific research
tech industry

Official documents

Required documents

General requirements for Master programs in Germany. Program-specific requirements are shown once you start a journey for this program.

  • Certified copy of Bachelor's degree certificate
  • Certified translation of Bachelor's degree certificate
  • Certified transcript of records (all semesters)
  • Valid passport (photo page copy)
  • Tabular curriculum vitae (CV)

Academic requirements

Recognized prior bachelor's degree

A completed bachelor's (or equivalent) that the university recognizes for master's admission. Check anabin and the specific program. Dreemli does not issue denklik or admission decisions. Recognition is decided by anabin, uni-assist, and/or the university.

Frequently asked questions

Static answers for the most common questions about applying to this program.

Country & application steps

Step by step, from choosing a federal state to your residence permit in Germany.

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