Digital Social Science, Master's Programme
A two-year Master's programme focused on applying empirical methods and social science theory to analyze digital data for evidence-based decision-making.
Best for:Best for students interested in the intersection of social science theory, empirical data analysis, and digital technology.
Overview
The Master's Programme in Digital Social Science at LUT University equips students with the analytical skills necessary to navigate the exponential growth of digital data. By integrating empirical research methods with core social science theories, the curriculum enables students to critically evaluate data and translate findings into real-world insights. Participants learn to bridge the gap between raw data patterns and the underlying social behaviors that drive them. This programme is designed for those seeking to make bold, evidence-based decisions in an increasingly data-driven society.
What you'll do
- Engage in rigorous empirical research using diverse data sources
- Apply social science theoretical frameworks to interpret complex data patterns
- Develop technical competence in modern data analysis tools
- Translate empirical findings into actionable insights for real-world impact
- Participate in critical evaluation of societal data trends
Requirements
Degree required: Bachelor's degree or equivalent
Degree offered: Master of Social Sciences
Language: English proficiency
Instruction: English
- Foundational knowledge in social sciences
- Interest in empirical research methods
- Analytical mindset for data interpretation
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 are submitted through the official Finnish national study portal. Prospective students should review the specific admission requirements and deadlines provided on the programme website.
- Academic transcripts
- Proof of English proficiency
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