AI in Society
Technical University of MunichDauer
4 Semester
Sprache
Englisch
Studiengebühren
4000.00 EUR/Semester
Frist
Siehe Universität
Über diesen Studiengang
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.
Studienform
Vollzeit
ECTS
120 ECTS
Campus
Munich
Schwerpunkte
Karrierewege
Offizielle Dokumente
Benötigte Dokumente
Allgemeine Anforderungen für Master Studiengänge in Deutschland. Studiengangsspezifische Anforderungen werden angezeigt, sobald Sie eine Reise für diesen Studiengang beginnen.
- Beglaubigte Kopie der Bachelorurkunde
- Beglaubigte Übersetzung der Bachelorurkunde
- Beglaubigtes Transcript of Records (alle Semester)
- Gültiger Reisepass (Kopie der Passbildseite)
- Tabellarischer Lebenslauf
Akademische Anforderungen
Anerkannter vorheriger Bachelorabschluss
Ein abgeschlossener Bachelor (oder gleichwertiger Abschluss), den die Hochschule für die Masterzulassung anerkennt. Prüfen Sie anabin und den konkreten Studiengang. Dreemli trifft keine Anerkennungs- oder Zulassungsentscheidungen. Über die Anerkennung entscheiden anabin, uni-assist und/oder die Hochschule.
Häufig gestellte Fragen
Kurze Antworten auf die häufigsten Fragen zur Bewerbung für dieses Programm.
Land & Bewerbungsschritte
Schritt für Schritt von der Bundeslandwahl bis zum Aufenthaltstitel.
