The objective of the PhD program is the joint method training of PhD students in the intersection between algorithmic and mathematical foundations of statistical data analysis and machine learning on the one hand and the system-oriented foundations of databases, computer networks and high performance computing on the other hand. Doctoral students should thus acquire the basics for the entire "Big Data Pipeline", from data generation, storage and processing to application-specific analysis of the data and visualization of the results.
At least 18 credit points must be earned as part of the doctoral programme.
The curriculum structured consists of three complementary modules: