Structure of the Programme
First and Second Semesters
In the subject area Foundation of Data Analysis, students take a selection of compulsory courses totalling at least 24 ECTS credits, depending on their Bachelor's degree prerequisites. After the first study year, each one of the following Focus Areas must have been covered with at least one selected course.
1. Computer Science
- Datenbanksysteme (Department of Computer and Information Sciences)
- Algorithmen und Datenstrukturen (Department of Computer and Information Sciences)
- Konzepte der Informatik in combination with Programmierkurs I and Programmierkurs II (Dept. of Computer and Information Sciences)
- Mathematics I (Department of Economics)
- Mathematische Grundlagen der Informatik (Department of Computer and Information Science)
- Lineare Algebra I (Dept. of Mathematics and Statistics)
- Statistik (Department of Politics and Public Administration)
- Statistics I (Department of Psychology)
- Statistics I (Department of Economics)
- Statistik I (Dept. of Sociology)
4. Social-scientific Methods
- Econometrics I (Department of Economics)
- Introduction to Survey Research (Department of Politics and Public Administration)
- Methoden der empirischen Politik- und Verwaltungsforschung
(Department of Politics and Public Administration)
- Empirie: Quantitative Methoden (Department of History and Sociology)
- Methoden II (Department of Psychology)
In the subject area Advanced Methods of Data Analysis, students take compulsory modules to the value of 36 ECTS credits, consisting of courses totalling 24 ECTS credits and two seminars worth 6 ECTS credits each.
- Probability Theory and Statistical Inference
- Research Design I
- Big Data and Scripting
- One Optional Course
- Two Seminars
Track A (Fast Track to a PhD)
In the third semester, students take modules to fulfil a total of 20 ECTS credits from the Master's programmes of the participating departments.
Track B (Generalisation)
In the third semester, Track B students take modules to fulfil a total of 25 ECTS credits from the Master's programmes of the participating departments.
Additionally, Track A and Track B students accomplish a Data Analysis Project worth 5 ECTS credits.
Track A students take two modules to fulfil a total of 20 ECTS from the Graduate School of Decision Sciences or the Doctoral Programme in Quantitative Economics and Finance, and complete their Master's thesis (15 ECTS) with a processing time of three months.
Track B students complete their Master's thesis (30 ECTS) with a processing time of four months.
Forms of assessment
Students take written exams for courses. For seminars, students complete a presentation and an essay. Forms of assessment are in accordance with the regulations of the participating departments.
Graduates of the programme are awarded the degree Master of Science (MSc) in Social and Economic Data Analysis
The acquired skills will enable graduates to work for polling firms and market research institutes, in online marketing, as political advisers or consultants. Furthermore, our programme is particularly suitable for applicants who wish to pursue a doctoral degree and move on to an academic career.