Research areas

Data science and analytics

In times of the availability of big data of nearly all societal domains and an ever increasing complexity of this data (high dimensional data), the development of suitable statistical methods, algorithms and appropriate optimisation methods is more urgent and important than ever.

The demand for academically trained experts in data science and analytics on national and international labour 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 (optimisation and modelling) and quantitative and computer-assisted economics (business analytics, finance and applied econometrics).

Applications are especially important for analysing currency, securities and energy markets, banks, insurances and their financial institutions, corporate finance of companies, as well as for logistics and operations management.