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Duration
1 Year
Language
English
Program Description
This interdisciplinary Master in Social Data Science (MSc) equips students with cutting-edge skills in social science, computer science, and statistics to tackle real-world challenges using data.
Students will learn to ask the right questions, uncover patterns in networks, spatial data, and text, and identify cause-and-effect relationships.
From explaining economic inequality to tracing how ideas and innovations spread, this Master in Social Data Science (MSc) trains students to leverage data to understand complex social phenomena.
Students will learn to ask the right questions, uncover patterns in networks, spatial data, and text, and identify cause-and-effect relationships.
From explaining economic inequality to tracing how ideas and innovations spread, this Master in Social Data Science (MSc) trains students to leverage data to understand complex social phenomena.
Entry Requirements
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Why choose this program?
- Acquire skills that are complemented, not replaced, by AI.
- Explore social realities through networks, maps and texts.
- Develop the ability to identify causes and effects in data.
- Learn to manage databases and conduct causal, network and predictive analyses from a social science perspective.
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