M.Sc. Data Science

The remarkable increase in the volume and complexity of available data – and the new technology that has been developed to process it – requires a combined multi-disciplinary approach to design an overall strategy to transform data into useful information. Key ingredients for developing a successful strategy include data manipulation and visualization, large-scale computing, statistical modelling, learning techniques and algorithmic thinking. This Masters programme provides a solid and modern preparation, allowing graduates to understand and manage the many aspects of carrying out a complete data analysis, including its acquisition, management, and statistical analysis.

ALGORITHMIC METHODEN DER DATA – MINING UND LABOR;

FUNDAMENTALS OF DATA SCIENCE AND LABORATORY;

STATISTICAL METHODS IN DATA SCIENCE AND LABORATORY;

INTELLECTUAL PROPERTY COMPETITION AND DATA PROTECTION LAW;

NETWORKING FOR BIG DATA AND LABORATORY;

STATISTICAL METHODS IN DATA SCIENCE AND LABORATORY 1;

DATA MANAGEMENT FOR DATA SCIENCE;

CLOUD COMPUTING;

DATA MINING TECHNOLOGY FOR BUSINESS AND SOCIETY;

DATA MONITORING ANALYSIS AND COMMUNICATION;

STATISTICAL LEARNING;

QUANTITATIVE MODELS FOR ECONOMIC ANALYSIS AND MANAGEMENT;

DATA PRIVACY AND SECURITY;

SOCIAL AND BEHAVIORAL NETWORKS;

SIGNAL PROCESSING FOR BIG DATA;

NETWORK INFRASTRUCTURES;

OPTIMIZATION METHODS FOR MACHINE LEARNING;

STATISTICAL METHODS FOR OFFICIAL STATISTICS;

BIOINFORMATICS;

PROBABILITY AND STOCHASTIC PROCESSES FOR DATA SCIENCE;

DIGITAL EPIDEMIOLOGY;

EARTH OBSERVATION DATA ANALYSIS;

ECONOMICS OF INFORMATION;

EFFICIENCY AND PRODUCTIVITY ANALYSIS;