University of Mannheim campus

Engineering

MSc Mannheim Master in Social Data Science at University of Mannheim

University of Mannheim, Germany

Programme overview

The Mannheim Master in Social Data Science is an interdisciplinary program of study that is unique in Germany. In courses in Sociology, Political Sciences, Business Informatics and Mathematics, students work on questions specifically from the field of Social Sciences. In this master’s program, you can also attend methods courses from the Mannheim Master in Data Science program.

Faculty: School of Business Informatics and Mathematics  |  Duration: 4 semesters (2 years); approx. 120 ECTS credits  |  Study mode: full-time; English-taught  |  Intake: Fall semester (September)  |  Location: Mannheim, Baden-Württemberg, Germany

What you will study

Students learn to collect, organize, and analyze large amounts of data using the appropriate tools and methods to answer questions related to Social Sciences. The master’s program comprises five major areas: Fundamentals of Data Science (27 ECTS credits) Data Science Methods (27 ECTS credits) Advanced Data Science Methods (18–23 ECTS credits) Data Science Applications (18–23 ECTS credits) Master's Thesis (30 ECTS credits) This program of study is taught completely in English.

Career pathways

Data scientist is one of the most sought-after jobs of today. Companies, governments, and NGOs are increasingly looking for experts who are able to analyze and interpret social data.

Official programme page

Application information

Entry requirements

If you have not yet completed your bachelor’s degree, you may still apply for the master’s program as long as you will provide proof that you have obtained at least 130 ECTS credits. Completion of a bachelor’s program in Social Sciences (in particular Sociology, Political Science, Psychology, or Media and Communication Studies) or Business Administration or Economics or a program recognized as equivalent by the admissions committee, completed with a grade of “good” or better (equivalent to the German grade of 2.5) at a German higher education institution or abroad (also Berufsakademie) and corresponding to at least 180 ECTS credits or a regular period of study of at least three years. The program must include a total of at least 48 ECTS credits in informatics, mathematics, statistics, or empirical research methods. ECTS credits awarded for an empirical final thesis must be counted towards the 48 ETCS credits required, provided that the supervising university teacher issues a certificate confirming the empirical nature of the final thesis. Proof of proficiency in English (may be submitted by 15 August) Selection criteria The final grade or – for students still completing their degree – the grade average of the bachelor’s program Semester abroad Relevant professional activities Essay about a relevant research topic in English (5,000 to 10,000 words) Essay In addition to your application documents, you must submit an essay in English of 5,000 to 10,000 words with a

Intake: Fall semester (September)

Duration: 4 semesters (2 years); approx. 120 ECTS credits

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