M.Sc. Social and Economic Data Analysis

Today’s information society is characterized by an ever-growing abundance of data fr.om sources as diverse as administrative records, surveys or network logs. Yet, such data merely provide the “raw material of knowledge”, and it takes well-trained analysts to detect meaningful structure, and to extract relevant information from these sources. The programme is interdisciplinary, including econometrics, statistics, and computer science. Hence, your broad knowledge makes you highly employable in academia and the rapidly growing job market for data analysts. Employers include polling firms, market research institutes, online marketing firms, political advisory services and consultancies

Introduction to Computation for the Social Sciences;

Datenbanksysteme;

Algorithmen und Datenstrukturen;

Konzepte der Informatik in combination with Programmierkurs I;

Konzepte der Programmierung in combination with Programmierkurs II;

Mathematik für Wirtschaftswissenschaftler I;

Mathematische Grundlagen der Informatik;

Lineare Algebra I;

Statistics I;

Econometrics I;

Introduction to Survey Methodology;

Probability Theory and Statistical Inference;

Big Data and Scripting;