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What will I learn?

Modern society is highly data-driven. Everything is monitored and measured, yet there are major challenges to finding optimal ways to design research, analyse data, and extract the most valuable information.

This selective Master’s programme combines the research expertise of the following departments at Utrecht University (UU) and the University of Twenty (UT):

Department of Methodology and Statistics (UU)

Department of Biostatistics, University Medical Centre Utrecht (UU)

Department of Research Methodology, Measurement and Data Analysis (UT)

The collaboration between these departments provides you with an exceptionally broad range of internship opportunities and thesis topics focused on the following fields: Behavioral Sciences | Biomedical Sciences | Social Sciences. Through the programs cutting-edge research in methodology and statistics, you will acquire the knowledge and skills needed to carry out fundamental and applied research at the level of a PhD project.

EXCELLENT CAREER PROSPECTS

The Methodology and Statistics programme prepares you for a scientific career in academia, research institutes, government organisations, NGOs, or private enterprises. Utrecht University, University Medical Centre Utrecht, and the University of Twenty maintain strong partnerships with various non-academic institutions, such as CITO, CentERData, CBS, TNO, UMCU, LSAC, CTB, ETS, AMC, SAS, Ministry of Education, Ministry of Social Affairs and Employment, Stitching Arq, Dutch Inspectorate of Education, Danone, and Explain, which provide excellent career prospects for our students. The majority of our graduates obtain positions as PhD students either in one of the three departments that coordinate this Master’s programme or in other related departments in the Netherlands or abroad.

PROGRAMME OBJECTIVE

Through this Master’s programme, you will develop the skills and knowledge to function as a qualified practitioner who is ready for PhD training or a research career outside academia. You'll learn how to:

  • develop methodological and statistical approaches that are required by new developments;
  • evaluate commonly used methodological and statistical approaches; and
  • apply methodological and statistical approaches in cooperation with behavioral, biomedical, and social sciences researchers.

You will be fully equipped with the academic skills and knowledge necessary for your future career.

Which department am I in?

Faculty of Social and Behavioural Sciences

Study options

Full Time (2 years)

Tuition fees
€17,078.00 (13,79,483) per year
Start date

Expected September 2022

Venue

Utrecht University

Heidelberglaan 8,

Utrecht Science Park / De Uithof,

Utrecht,

3584, Netherlands

Entry requirements

For students from United States

MSc Track: Knowledge/ competence in the field of European law and a bachelor degree in Economics or sufficient knowledge of economics including knowledge/competence in the fields of: Microeconomics; Mathematics; Industrial organization and Competition Policy; Corporate Finance; Econometrics or Advanced Statistics. English language requirements: IELTS, Academic Module. Minimum score: 7.0 overall band, at least 6.0 for all components. TOEFL, iBT. Minimum score: 96, at least 23 for writing and 20 for the other sections. Cambridge Certificate in Advanced English, at least a B grade. Cambridge Certificate of Proficiency in English, at least a C grade.

For international students

This programme is open for students with a Bachelor's degree in Biomedical Science, Social and Behavioral Sciences (including Political Science), Econometrics and /or (Applied) Mathematics. You need a GPA of 3.4 (or the Dutch equivalent of 7.5) or higher to be eligible. Students with a GPA between 3.0 and 3.4 (Dutch equivalent: 7 or higher) will be considered for admission.

Other English language requirements: Cambridge Certificate in Advanced English, at least a B grade; Cambridge Certificate of Proficiency in English, at least a C grade.

*There may be different IELTS requirements depending on your chosen course.

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