Data & Society (MSc)

Technical University of Munich · Munich, Germany

Level
Master's
Award
Master of Science
Language
English
Duration
4 semesters
Study mode
Full-time
Campus
München
Apply by
Register by 31 May 2027 + 1 more
Starts
Winter and summer semester
Tuition
€12,000

Entry requirements and how to apply

Entry requirements
Applicants to the Master’s programme in Data & Society at the Technical University of Munich must complete the following steps: Motivation Letter : Submit a written motivation letter of up to 150 words explaining why you have chosen the Data & Society programme at TUM. Highlight your fit for the programme and provide examples, such as relevant internships, study-abroad experiences, or any professional or academic training demonstrating your qualifications for this field. Interview : Selected applicants will be invited to an interview. The interview will last between 20 and 30 minutes in English. It will cover your motivation for applying, your academic background in MINT (STEM) fields, and your ability to work scientifically and methodically. You will also be asked about your understanding of societal dynamics and global developments concerning technological innovations. All information related to application and admission can be found here .
English language requirement
B2 required, please provide an official language certificate, e.g.: PTE Academic: 65 Cambridge English Qualifications: C1 Advanced IELTS Academic: 6.5 TOEFL iBT (before 2026): 88
German language requirement
No minimum language level required
Application period
The following is valid for applicants from: all countries For the winter semester: 1 April - 31 May The following is valid for applicants from: all countries For the summer semester: 1 October - 15 January
Apply through
Please check this website .

About this programme

Groundbreaking data-driven technologies harbour enormous potential. But they also pose immense social and societal risks. Therefore, students of the English-taught Master's degree programme in Data & Society (MSc) learn to analyse and shape technological developments in the context of human behaviour, social needs, and political conditions. The programme is strongly interdisciplinary and application-oriented. It combines in-depth Engineering, Natural Sciences, and Informatics skills with a thorough understanding of the social, political, and ecological implications of innovative technological developments and their application. Students acquire specialised technical and social science skills in the areas of Data Perspectives, Human & Society, Regulatory, and Sustainable Development. They critically examine data, algorithms and AI-supported decision-making processes, human behaviour and social dynamics, ethical and philosophical considerations of technology, the political and legal framework conditions for the use of technology, and the requirements for sustainable technology use. Graduates of the degree programme are competent engineers and scientists with specific expertise in evaluating modern technologies' opportunities, risks, and regulations. They are able to reflect on, analyse, and assess the economic, ecological, social, political, and ethical dimensions of data-based technologies and manage their use in line with specific requirements. As a result, they are just as w

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