Psychology: Learning Sciences

1. CV (max. 2 pages)

2. Bachelor's diploma or official proof of expected date of graduation from university

3. Transcript of records

4. motivational essay (max. 500 words). It should address which specific skills, qualifications, and interests qualify you as an applicant to study in our program.

5. Proof of English Proficiency of at least upper B2 according to the CEFR. (IELTS 6.5; TOEFL CBT 211; TOEFL IBT 79; CAE 177; Englisch-Abitur 10 Punkte/B2; Duolingo 105)

6. An elaborate analysis and report of a scientific research question. The task of this analysis is to answer a research question with a dataset that will be provided in the online tool (cannot be accessed earlier).

7. A prior knowledge table (use this template (DOCX, 2.782 KB) and check this example table (PDF, 813 KB)). You can use all courses or work experiences you have - they do not have to come from your Bachelor's program solely. You need to provide sufficient experience in these three domains. Not reaching the ECTS thresholds in any of these three domains will result in a rejection:

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Learning Sciences: Theoretical background, methods, and empirical findings concerning different aspects of learning and teaching in different educational contexts. These aspects encompass e.g. cognition, emotion, development, instruction, training, excellence, achievement, transfer, counseling, education, didactics, neuro-cognitive and clinical perspectives.

In this field you need to prove at least 20 ECTS (1 ECTS credit equals 30 hours of work - including preparation, in-class time, homework, and examination); 30 or more ECTS credits are recommended for good chances of acceptance

Scientific Research Methods and Statistics: You should be familiar with elements, key terms and processes of research designs and strategies as well as statistics (descriptive and inferential) and preferably statistical software (e.g. SPSS). Concepts which refer to Descriptive Statistics include Measures of Central Tendency and Dispersion, Frequency Distribution, Z-Scores among others. Key Terms which refer to inferential statistics are Hypotheses-testing, One- and Two-Tailed Tests, Bivariate Correlation and Regression, Method of Ordinary Least Squares (OLS), One-Way Independent ANOVA and Factorial ANOVA, t-test and t-distribution and Chi-Square Tests among others.

Again, you must prove at least 20 ECTS in this field; 30 or more ECTS credits are recommended for good chances of acceptance.

Academic Skills: Academic skills refer to the skills necessary to find, process, understand, interpret, evaluate, discuss and present research.

These skills might have been taught in courses explicitly, or might have been obtained in other classes implicitly. Either way, you need to prove at least 10 ECTS in this field; 20 or more ECTS credits are recommended for good chances of acceptance

Semester contribution : 129.40 EUR per semester

Tution fee none