AI in Society
M.Sc.
Overview
Program profile
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.
Which further expertise and skills will I acquire?
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.
Which professional opportunities can I take up with this qualification?
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.
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
Costs
Tuition
HK$64,898.24
(international)
HK$689.54
(home)
Funding
Admissions
Qualifications
Selection takes place through an aptitude assessment procedure. An aptitude assessment is a two-part procedure after the submission of an official application to a program. In this procedure, the TUM school determines whether you meet the specific requirements for its Master’s degree program.
In the initial stages, the grades you obtained during your Bachelor’s program, as well as your written documents, will be evaluated using a point system. Depending on the amount of points accumulated, applicants are either immediately admitted, rejected or invited to an admissions interview.
Language requirements
TOEFL
88