Social and Economic Data Science

An above average Bachelor's degree with a grade of at least “good” (2.5) or better in a social or behavioral science Bachelor's degree (e.g. Political Science,Psychology, Sociology, Economics) or in a mathematics or information science Bachelor's degree course (e.g. Computer Science, Mathematics, Statistics) at a state-recognized university or university of cooperative education or a recognized (foreign) equivalent for which a standard period of study of at least three years has been set.

An above average Bachelor degree, at least corresponding to the German grade 2,5 (good) for example in one of the following subjects:

• Political Science
• Psychology
• Sociology
• Economics
• Computer Science
• Mathematics
• Statistics

You are welcome to apply in your final year of your Bachelor program. Please submit your current academic transcript as PDF (with an officially certified translation into English or German, if applicable).

Basic knowledge of probability theory and statistics are required.

• Please submit your current academic transcript as PDF (with an officially certified translation into English).
• Proof of advanced written and spoken English language skills at level B2 of the Common European Framework of Reference for Languages (for proof, see “Required language skills”).

Proof of sufficient English language skills through one of the following tests:

• [Cambridge Certificate of Proficiency](http://www.cambridgeenglish.org/exams/proficiency/): minimum grade C
• [IELTS](https://www.ielts.org/) (academic version): minimum grade 6.5
• [TOEFL](http://www.ets.org/toefl): minimum grade 92 (internet-based points)
• Proof of at least 3 degree courses taught in English in a previous degree program
• Proof of a Bachelor's degree that was taught entirely in English
• In individual cases, an equivalent test checked and recognized by the corresponding Examination Board
• Important: Duolingo test is not accepted!

Language tests should not be older than three years.

• Proof of at least one course in statistics, which includes basic probability theory as well as descriptive and inductive statistics.
• You might hand in a proof of existing programming skills (e.g. R, Python, Java, C/C++, Matlab).
• You might hand in a proof of experience in quantitative social and behavioural science research (e.g. seminar papers or theses, project reports, etc. written in English).