Master of Science in Psychology: Behavioural Data Science
Learn to leverage big data to gain actionable insights into human behaviour and decision-making.
Best for:Best for students with a background in psychology or social sciences interested in applying data science to human behaviour.
Overview
The Master of Science in Psychology: Behavioural Data Science at the University of Amsterdam focuses on the intersection of psychological theory and data analytics. Students explore how large-scale datasets can be utilized to understand and predict human behaviour in various societal contexts, such as education and public safety. The curriculum provides the necessary tools to translate complex data into practical advice for organizations. Graduates are prepared to apply psychological insights to real-world challenges using advanced computational methods.
What you'll do
- Engage with advanced coursework in behavioural data science and psychological theory.
- Develop skills in processing and interpreting large-scale datasets.
- Apply computational techniques to model and predict human behaviour.
- Translate data-driven findings into actionable recommendations for societal and organizational challenges.
Requirements
Degree required: Bachelor's degree in Psychology or a related field
Degree offered: Master of Science
Language: English
Instruction: English
- Foundational knowledge in psychology
- Interest in quantitative research methods
- Analytical mindset for data interpretation
Funding & terms
Programme and admissions
Admissions not verified
A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.
- Intake
- Not confirmed by the source
- 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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- Application instructions
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- Tuition
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How to apply
Deadline: 2027-03-01
Interested candidates should visit the official University of Amsterdam programme page to review specific admission requirements. Applications must be submitted through the university's designated online portal before the deadline.
- Academic transcripts
- CV
- Statement of purpose
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