Study abroad in Utrecht, 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 Utrecht, 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.
The Utrecht Summer School is a cooperation of the Utrecht University, HU University of Applied Sciences and HKU University of the Arts. These institutions of higher education offer high quality, fully accredited summer courses on bachelor, master and PhD level.
Throughout Utrecht University, students are offered interactive, small-group learning experiences provided by enthusiastic lecturers who actively contribute to improving the programmes where necessary.
HU University of Applied Sciences Utrecht is aninspiring place where exceptional things happen. Weare centrally located in the Netherlands, within thevibrant Utrecht Science Park and in the heart of society.HU is one of the largest universities of applied sciencesin the Netherlands, offering a wide range of educationprogrammes for students aged from 17 till 67 years.
Most popular Data Science & Big Data programmes for international students in Utrecht
These are the most popular programmes among international students who are looking for a Data Science & Big Data degree in Utrecht.
1
Modern Methods in Data Analysis
Utrecht University
The course will begin with an introduction to likelihood theory, using simple examples and a minimum of mathematics. You will then move to learning about the most important regression models used in medical research. These include logistic regression, Poisson regression, analysis of `event history´ data, and the Cox proportional hazards regression model.
This 4-day Data Science - Multiple Imputation in Practice course offered by
Utrecht Summer School teaches you the basics in solving your own missing data problems appropriately.
Modeling the Dynamics of Intensive Longitudinal Data
Utrecht Summer School
The Modeling the Dynamics of Intensive Longitudinal Data course from Utrecht Summer School is a five-day course on how to study dynamics in intensive longitudinal data, such as ambulatory assessments (AA), experience sampling method (ESM) data, ecological momentary assessments (EMA), real time data capture, observational data or electronic daily diaries.
The Data Science - Data Analysis course at Utrecht Summer School offers a range of statistical techniques and algorithms from statistics, machine learning and data mining to make predict future events and uncover hidden structures in data.
The Data Science - Data Analysis and Visualization course taught by
Utrecht Summer School offers a range of statistical and graphical techniques to uncover hidden structures in the data, including machine learning and data mining techniques. The course has a strong practical focus; participants actively learn how to apply these techniques on real data.
Hypothesis Evaluation - P-Values, Bayes Factor, and Information Criteria
Utrecht Summer School
The Hypothesis Evaluation - P-Values, Bayes Factor, and Information Criteria course offered by Utrecht Summer School discusses the evaluation of theory-based hypotheses using p-values, the Bayes factor, and information criteria.
The Sensemaking of GPS Data in a GIS Environment offered by Utrecht Summer School focuses on analysis of outdoor movements in space and transport network based distances.
Survey Research - Statistical Analysis and Estimation
Utrecht Summer School
The Survey Research - Statistical Analysis and Estimation course offered by Utrecht
Summer School is based on a total survey error perspective and discusses the major sources of survey error. Participants will be presented with tools for detection and adjustment of such errors. Analysis methods are introduced using both SPSS and R.
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.
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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