Admission Criteria for the EST Master of Science Programme

In order to be considered for admission in the Master’s programme Educational Science and Technology (EST), you have to meet formal as well as content-related admission criteria.

Note:

In case you do not meet the full spectrum of content-related criteria (F-I, see below), your participation in the Master’s programme will be upon successful completion of one or more modules of our pre-master’s trajectory, to be decided by the Admission Committee.

The minimal formal requirements are:

A. Bachelor’s degree, or equivalent

B. Sufficient proficiency in English:

minimum overall score of (or equivalent to) 6.5 on the IELTS where all sub-scores are at

least 6.0 or equivalent (this applies also to our pre-master trajectories)

C. A grounded and focused motivation to do this programme

D. Two letters of reference (preferably from your employer and/or university),

including full address, telephone number, fax number and e-mail address

E. A curriculum vitae/resume, summarising your educational and professional career

The content-related admission criteria require that you possess sufficient knowledge and skills concerning:

F. The content of the domain of educational science and technology

G. Design methodology

H. Research methodology

I. Research techniques, including the use of statistics for data analysis

The Admission Committee will review the information and documents you have presented and decide whether you meet all criteria sufficiently.

F. Content of the domain

The domain of Educational Science and Technology can be characterised by the following definition:

The field encompasses the analysis of learning and performance problems, and the design, development, implementation, evaluation and management of educational and training processes, resources and arrangements intended to improve learning and performance in a variety of settings, particularly educational institutions and the workplace.

You meet the domain-specific admission criterion if you possess a bachelor or master level degree in a domain that is similar or related to the domain of this definition, and/or if you have substantial relevant work experience from which you could master the mentioned conceptual kind of knowledge.

If this applies to you, please send us a list of completed courses with brief descriptions of its content. The admission committee uses this material as evidence for your domain knowledge. If you have relevant working experience, send us documents that the Admission Committee may use as evidence of your acquired domain-related competencies.

G. Design methodology

This is a typical content characteristic of all educational science and technology bachelor’s and master’s programmes in our Faculty, aiming at educating scientific educational and training designers.

This methodology for systematic problem solving aims to support and control science-based, systemic approaches and processes for the development, the implementation and the evaluation of solutions for problems in education and training.

To give evidence that you basically master this methodology, you have to send us an overview of courses you did in this respect, and/or reports of systematic design projects you have intensively been involved in.

H. Research methodology

This refers to the main concepts, procedures, and methods which are used in social science research, and that aim at systematic conceptual (literature) analysis, modes of data collection, data analytical schemes, and procedures for interpretation of findings, in order to better understand social phenomena and processes, and/or to support all kinds and levels of making choices in and for social reality.

This methodology supports the systematic design, execution and evaluation of research activities.

Your basic mastery of this methodology should be proven by courses you have done in this area, and/or reports of research projects or activities you have been involved in substantially. Send us detailed course outlines of the research methodology courses you took. Please enclose copies of the tables of contents of the used textbooks or an overview of the topics that have been dealt with in these courses. Send us a copy of your bachelor or (if applicable) your master thesis or other relevant publications, if available in English, German or Dutch. Thus allowing us to evaluate your academic level in terms of reasoning, written communication, problem analysis skills.

I. Research techniques, including the use of statistics for data analysis

This area is dedicated to the skills and understanding of techniques for collection and for analysis of data of both kinds, quantitative as well as qualitative data.

If you master this area, you understand and are able to apply descriptive statistics (distribution, correlation, regression, cross tabling), theory of probability (calculation, expectation, variance, binomial distribution), and aspects from inductive statistics (average based conclusions with known population deviation). Experience with the use of SPSS or comparable computer-based statistical packages is part of your mastery.

Evidence about these aspects can be presented by content review of courses you have done, and/or use of these techniques in research, demonstrated by way of a report or an article. Send us detailed course outlines of the relevant courses you took. Please enclose copies of the tables of contents of the used textbooks or an overview of the topics that have been dealt with in these courses.