Master of Science in Information Studies: Data Science
Interdisciplinary master’s programme equipping students to translate complex challenges into data-driven solutions across business, science, and society.
Best for:Best for graduates with a quantitative or technical background seeking to specialise in data science, bridging computer science, mathematics, and interdisciplinary problem-solving for business, science, and societal applications.
Overview
The Master of Science in Information Studies: Data Science at the University of Amsterdam prepares students to become skilled data scientists capable of extracting meaningful insights from vast datasets. This innovative programme bridges computer science, mathematics, and societal applications, enabling graduates to tackle real-world problems in diverse domains. Students learn to analyse, evaluate, and implement data science projects while leveraging their unique academic backgrounds. The curriculum emphasises hands-on experience, interdisciplinary collaboration, and the ability to apply data-driven methodologies to scientific, business, and societal challenges. Ideal candidates will have a strong foundation in quantitative methods and a passion for leveraging data to create impactful solutions.
What you'll do
- Develop and implement data-driven solutions to address complex challenges in business, science, and society.
- Learn to explore, analyse, and interpret large datasets using advanced quantitative and computational methods.
- Conduct research and evaluate data science projects across various domains, ensuring methodological rigor and practical relevance.
- Collaborate with interdisciplinary teams to translate scientific, societal, and business problems into data-related solutions.
- Apply unique academic backgrounds to contribute innovative perspectives in data science projects and research.
Requirements
Degree required: Bachelor’s degree in a relevant field such as Computer Science, Mathematics, Statistics, Information Studies, or a related discipline
Degree offered: Master of Science (MSc)
Language: English; TOEFL iBT score of 100 or IELTS overall band score of 7.0 or Cambridge Certificate in Advanced English score of 190
Instruction: English
- Proven proficiency in quantitative methods and data analysis techniques
- Strong analytical and problem-solving skills
- Familiarity with programming languages commonly used in data science (e.g., Python, R)
- Ability to work collaboratively in interdisciplinary teams
- No specific nationality or residency restrictions
- Applicants must meet the English language proficiency requirement
Funding & terms
Programme and admissions
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- Intake
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How to apply
Deadline: 2027-02-01
Applicants must submit their application through the University of Amsterdam’s official portal. Required documents include a CV, proof of English proficiency, academic transcripts, a motivation letter, and a statement of purpose. Additional materials may be requested depending on the applicant’s background.
- CV
- Proof of English proficiency (TOEFL, IELTS, or Cambridge Certificate)
- Academic transcripts and diplomas
- Motivation letter
- Statement of purpose
- Two letters of recommendation (if required)
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.