Master of Science in Social Data Science
An interdisciplinary programme combining advanced data science techniques with core social science theories to solve complex societal problems.
Best for:Best for students with a background in social sciences or computer science looking to specialize in the intersection of big data and societal analysis.
Overview
The Master of Science in Social Data Science at the University of Copenhagen is a two-year interdisciplinary programme designed to bridge the gap between computational techniques and social science research. Students learn to apply machine learning, predictive analytics, and natural language processing to address real-world challenges in business and society. The curriculum integrates these technical skills with foundational theories from sociology, economics, anthropology, political science, and psychology. Graduates are equipped to independently design, manage, and analyze large, complex datasets to derive actionable insights. This programme is ideal for those seeking advanced training in a rapidly evolving field that demands both technical proficiency and deep contextual understanding.
What you'll do
- Design and implement research projects using large-scale datasets.
- Apply machine learning and predictive analytics to social science problems.
- Integrate sociological, economic, and political theories into data-driven analysis.
- Process and analyze unstructured data using advanced computational techniques.
- Develop solutions for business and societal challenges in the digital age.
Requirements
Degree required: Bachelor's degree in a relevant field
Degree offered: Master of Science
Language: English proficiency required for academic study
Instruction: English
- Foundational knowledge in social science theories
- Basic understanding of statistical or computational methods
- Analytical problem-solving skills
- Must meet the university's general admission requirements for Master's programmes
Funding & terms
Programme and admissions
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A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.
- Intake
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- Duration
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- Teaching language
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- Taught / research mode
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- Study mode
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- Campus
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- Prerequisites
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- Tuition
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How to apply
Applications must be submitted through the official university portal. Prospective students should review the specific admission requirements and deadlines provided on the university's programme website.
- Bachelor's degree certificate
- Academic transcripts
- Proof of language proficiency
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