The Master's in Educational Sciences: Learning in Interaction addresses the theory, use and effects of innovative educational developments aimed at making learning more meaningful and enjoyable.
We never learn alone. We always learn by interacting with someone or something: For example, with more knowledgeable others (teachers or more advanced fellow students), equally knowledgeable others (peers or in teams), or with artefacts (the environment around us, books or computers). If you're interested in learning about and carrying out high-quality research into these interactions so that you can make a real difference to learning, teaching and instruction, then this is the programme for you. The two-year programme concentrates on the theory, use and effects of innovative teaching and learning arrangements aimed at meaningful, enjoyable learning through the application of different theories, paradigms and media. Research projects use both experimental and design-based approaches and combine qualitative and quantitative analyses. Looking for more information? On you will find more information on the study programme, on where our alumni start their professional careers and much more.
This programme has a workload of 120 ECTS.
For this programme a numerus fixus of 15 applies.
Grade average: We ask for a GPA of 3.4. Students with a GPA between 3.0 and 3.4 may be eligible and will have a chance of being selected if their previous studies fit well within the programme, according to the programme's admissions committee.
Knowledge minimum: This research master programme has a statistical entrance requirement, which entails the following: (i) a basic course in introductory statistics including topics such: univariate descriptive statistics, correlation, univariate regression, one-way analysis of variance (both descriptive and inferential) and a basic course in the methodology of behavioural and/or social science research (experimentation, surveys, observational studies); (ii) knowledge of multivariate analysis tools such as factor analysis, reliability, multiple regression, analysis of variance, dummy variables; (iii) hands on experience with the tools just mentioned (for example, experience with SPSS). In total, it is expected that students have followed courses for about 20 ECTS. If either (ii) or (iii) is (partly) lacking, this can be remedied in a course of multivariate analysis offered by the Summer School of Utrecht University.
Written request: We ask for a motivational letter including curriculum vitae, and two reference letters.
Additional language requirements:
|CAE score:||75 (Grade B)|
|TOEFL paper-based test score:||580|
|TOEFL computer-based test score:||237|
|TOEFL iBT® test:||93|
The Utrecht Excellence Scholarship offers a number of highly talented prospective, non-Dutch students the opportunity to pursue a degree in a selected number of fields at Utrecht University.
For additional information: Website
Accredited by: NVAO in: Netherlands
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