Themes

Data Science and Analytics

In times of availability of Big Data of nearly all societal domains and with increasing complexity of this Data (“High Dimensional Data”) the development of suitable statistical methods, algorithms and appropriate optimization methods is more urgent and important than ever.

Demand for academically trained specialists in Data Science and Analytics on national and international job markets is high. This results in challenges for the application field as well as for the latest methodological developments in statistics (analysis of high dimensional and heterogenic data, modelling, model selection and inference), Operations Research (optimization and modelling) and quantitative and computer-assisted economics (Business Analytics, Finance and Applied Econometrics).

Applications are especially important for analyzing currency, securities and energy markets, banks, insurances and their financial institutions, corporate finance of companies, as well as for logistics and operations management, currently for epidemiology, technical sciences and physics.