The M.Sc. Psychology: Learning Sciences is a research-oriented program that promotes a select group of highly motivated students to engage in state-of-the-art research in the internationally emerging field of the Learning Sciences. The program encompasses knowledge and skills training in interdisciplinary knowledge, research methods, and transferable skills related to the Learning Sciences. Courses are taught in the form of seminars, classes in small groups, and colloquia, rather than lectures. All courses are taught by leading scientists in their fields.
The interdisciplinary M.Sc. Psychology: Learning Sciences is offered by the Munich Center of the Learning Sciences (MCLS). It combines fundamental skills and expertise from the fields of psychology and education Ė and has a clear focus on learning, research and excellence. The program includes the following core themes:
General deadline, applies to everyone.)
There are no tuition feesNot specified
The following application documents are required in PDF format:
Applicants who have not yet finished their bachelorís studies are required to upload a letter from their university, confirming the expected date of graduation.
A document which indicates your prior knowledge and experience in the following domains. It does not matter from which degree this prior knowledge comes from.
These domains encompass:
- 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)
- 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
- 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
No work experience is required.
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