Applied Data Science Master’s Programme
A one-year interdisciplinary master’s programme applying data science to solve real-world challenges in medicine, social media, and environmental domains.
Best for:Best for data science graduates or professionals with a strong quantitative background who want to specialise in applied, domain-specific solutions and gain expertise in interdisciplinary problem-solving.
Overview
The Applied Data Science Master’s at Utrecht University is a fast-paced, one-year programme designed to equip students with the skills to tackle complex data-driven problems across diverse fields. Unlike traditional data science research, this programme focuses on practical applications—such as predicting medical treatment effectiveness, detecting extremist behaviour on social media, and forecasting environmental conditions using camera data. Students engage with four distinct focus domains, combining data science techniques with domain-specific expertise to create innovative solutions. The curriculum emphasizes hands-on learning and interdisciplinary collaboration, preparing graduates for impactful careers in industry, research, or public sector roles.
What you'll do
- Develop and apply data science techniques to solve real-world problems in healthcare, social media, and environmental domains.
- Work across four distinct focus domains, combining data science knowledge with domain-specific expertise.
- Conduct hands-on data analysis, leveraging large datasets to derive actionable insights.
- Collaborate with interdisciplinary teams to create innovative solutions for complex challenges.
- Engage in a fast-paced academic environment with a strong emphasis on practical application and problem-solving.
Requirements
Degree required: Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related quantitative field
Degree offered: Master of Science (MSc)
Language: English; Cambridge Certificate in Advanced English (C1), Cambridge Certificate of Proficiency in English (C2), IELTS overall band 6.5 (with 6.0 in reading), or TOEFL iBT 93
Instruction: English
- Proficiency in programming (e.g., Python, R)
- Strong analytical and problem-solving skills
- Experience with data analysis and machine learning techniques
- Ability to work with large datasets and complex data structures
- No specific nationality restrictions
- No age restrictions
- No prior work experience requirements
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.
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- Tuition
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How to apply
Deadline: 2027-04-01
Applicants must submit their application through Utrecht University’s official online portal. Required documents include a CV, a motivation letter, academic transcripts, proof of English proficiency, and a portfolio or research proposal if applicable. The application process is competitive, and meeting the deadline is essential for consideration.
- CV
- Motivation letter
- Academic transcripts
- Proof of English proficiency (Cambridge Certificate, IELTS, or TOEFL)
- Portfolio or research proposal (if applicable)
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.