Master Political Science

• Completed Bachelor's degree in a political science degree program or in a degree program recognized as related in a field with at least a final grade of 2.5 at a domestic or foreign university (including a university of cooperative education) of at least 180 ECTS or at least three years of standard study period
• Good performance from the first degree (at least grade 2.5) in the field of methods of empirical social research and statistics
• Proof of good [English language skills](https://www.uni-mannheim.de/studium/vor-dem-studium/bewer...) (submission possible until 15.8.)

1. Good level of English. The following proof of language proficiency is accepted:

• a university entrance qualification from a school with English as the language of instruction,
• completion of a degree in a program of study taught to at least 90 ECTS in English,
• test results, such as TOEFL iBT (90 points) and PBT (577 points) or IELTS (6.5 points). Please find more specific information in the [guide to applying for admission to a master's program](https://www.uni-mannheim.de/studium/vor-dem-studium/bewer...).

2. Proof of good performance in the area of methods of empirical social research, data analysis and statistics as indicated through previous course grades of classes in this area (German grade equivalent of 2.5 or better). Basic working knowledge in data analysis software (e.g., R, Stata, SPSS) is an asset. Good performance in previous courses in this area is a prerequisite and will be assessed in the following way: The admissions committee looks at each trans­cript of records individually and evaluates a student's performance on the basis of graded courses taken in this area. If the average grade of all courses in this area corresponds to a German grade of 2.5 or better, you fulfil this requirement. You may submit also for each course in this area a syllabus or an official course description such as a course catalog that documents that the content of this class actually fits the area of methods of empirical social research, data analysis and statistics.