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Duration
2 Years
Language
English
Start date
Sep 2024
Program Description
The master in Social Data Science (MSc) combines state-of-the-art data science techniques, including machine learning, predictive analytics, and natural language processing with core sociological, economic, anthropological, political science, and psychological theories and methods to equip students with the competencies to identify, assess and solve societal and business problems in the digital age.
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Curriculum
Learning Outcomes
- Independently design, handle and analyse complex and large data sets comprising various data about behaviour, networks and/or ideas, including personal data, data and metadata from a variety of sources, in order to contribute with new and original knowledge to solve societal and business problems.
- Understand and observe legislation concerning data (including GDPR and IPR), and observe and develop rules and protocols – and ethical principles – for the collection, storage, sharing and usage of data, including personal data.
- Access and evaluate data-analytical potentials and pitfalls in research, public policy or business settings.
- Lead and coordinate teams comprised of people from a diversity of professions who collaborate on deploying social data science to create new value and solve societal and business problems.
- Identify future challenges and opportunities pertaining to social data and digitalisation writ large.
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