Study abroad in Amsterdam, Netherlands: Most popular universities for Data Science & Big Data.

Are you thinking of studying Data Science & Big Data, abroad? Below you can find the most popular universities and programmes to study Data Science & Big Data in Amsterdam, Netherlands. This list is based on visitors on the Studyportals websites, listing more than 150,000 English-taught Bachelor's and Master's programmes world-wide.



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Vrije Universiteit Amsterdam

Vrije Universiteit Amsterdam ('VU Amsterdam') is an internationally renowned research university founded in 1880. The university offers over 170 English-taught programmes at Bachelor's, Master's and PhD level to more than 24,000 students from all over the world. Students and staff of 84 nationalities create a dynamic international academic community.
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2

University of Amsterdam

The UvA's quality assurance system serves a number of important purposes. The UvA's key priorities may change to reflect new external requirements. The UvA's quality assurance system is designed to ensure that the University maintains best practices and continually assesses whether there is a need for improvement or adjustment.
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Inholland University of Applied Sciences

We are a university of applied sciences that offers international education and conducts applied research for professional practice. 
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4

European Leadership University

European Leadership University is a New Generation University. We aim to bridge the skills gap in the tech field through a unique educational model that helps you to get the most wanted, job-ready skills.
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Most popular Data Science & Big Data programmes for international students in Amsterdam

These are the most popular programmes among international students who are looking for a Data Science & Big Data degree in Amsterdam.

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From Correlation to Causation: an Introduction to Novel Analysis Methods for Observational Data

Vrije Universiteit Amsterdam

From Correlation to Causation: an Introduction to Novel Analysis Methods for Observational Data course at Vrije Universiteit Amsterdam details five such methods: propensity score matching, instrumental variables, regression discontinuity design, fixed effects methods and trajectory analysis. Randomized controlled trials are the gold standard for causal inference. Using an experimental and a control group, double-blind and with a placebo, the effect of an intervention can be neatly determined. But this ideal scenario is not always practicable, or even ethically desirable. What if we want to know how effective sex-offender treatments are? Or whether employment makes people happier? In such cases, special methods have to be used to be able to make causal statements.
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2

Analysis of EEG data in Matlab

Vrije Universiteit Amsterdam

Do you want to learn how to analyze neurophysiological data, but aren’t sure how to translate concepts to code or how to implement your ideas in Matlab? During this Analysis of EEG data in Matlab course at Vrije Universiteit Amsterdam, you will learn the necessary mathematical foundations of signal processing and how to implement and use standard methods for the analysis of M/EEG data in Matlab.
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3

Crime in Numbers - From Correlation to Causation

Vrije Universiteit Amsterdam

Randomized controlled trials are the gold standard for causal inference. Using an experimental and a control group, double-blind and with a placebo, the effect of an intervention can be neatly determined. This Crime in Numbers - From Correlation to Causation course is delivered by Vrije Universiteit Amsterdam.
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4

Operations Research - A Mathematical Way to Optimize Your World

Vrije Universiteit Amsterdam

This Operations Research - A Mathematical Way to Optimize Your World course from Vrije Universiteit Amsterdam delivers tools, introducing you to the most successful models and algorithms from operations research (OR), including (integer) linear optimization, network optimization, stochastic optimization and heuristics.
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5

Big Data and Business Analytics

University of Amsterdam

This MBA in Big Data and Business Analytics from University of Amsterdam is intended for hands-on Big Data Science specialists, for people in leadership roles working with Big Data Science and for Entrepreneurs.  
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Big Data in Society

Vrije Universiteit Amsterdam

More and more data is being collected about us and our activities. Our social media interactions, online search and shopping behaviour, but also offline location tracking and sensor and surveillance networks are all generating large, often real-time data sets. Learn more about it in the Big Data in Society course from Vrije Universiteit Amsterdam.
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Information Studies - Data Science

University of Amsterdam

In a data rich world, data science is gaining a central position with an increasing potential value for businesses, science and society. With the innovative and interdisciplinary Information Studies - Data Science, the University of Amsterdam makes it possible for you to become a skillful expert in this field. 
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Big Data Management and Analysis in Linux

Vrije Universiteit Amsterdam

The Big Data Management and Analysis in Linux course from Vrije Universiteit Amsterdam will introduce you to programming in a Linux environment, teach you how to efficiently manage very large datasets (e.g. using sed, awk, and grep commands) and create simple shell scripts to analyze your data (e.g. using a Linux version of the freely available statistics program R). 
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Study abroad in English

To apply at one of these universities, you may need a proof of English proficiency. There are several standardised English tests that you can take to proof your English level, such as the PTE (Pearson Test of English), TOEFL (Test of English as a Foreign Language), CAE (Cambridge Advanced English) and IELTS (International English Language Testing System), offered by British Council and IDP. IELTS is the most popular of these tests, with British Council offering more than 1000 test locations and being accepted by more than 9,000 organisations world-wide.

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About Data Science & Big Data

Data Science degrees teach students to use scientific techniques to extract insights from data. Big Data studies prepare specialists who work with large collected databases, by showing students how data mining, programming, and data visualisation work, and how to make predictions. Big Data courses approach business adaptability and sustainability and help you understand markets and customer behaviour.

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