["Computational Logistics:The course content consists of analytical methods for solving problems and supporting decisions in transport and logistics companies as well as managing transport systems and services.", "Transport Policy:The course content consists of economic and econometric methods for the analysis of a variety of transport policy issues (e.g. emissions, congestion, noise, and safety) and the design and assessment of adequate transport policy measures.", "Spatial and Environmental Economics:Contents include economic and econometric methods for analysing the spatial, economic and environmental impact of mobility in cities and regions as well as the evaluation and design of relevant policy interventions to improve the spatial allocation and reduce negative environmental impacts of transport.", "Statistics:This course deals with methods of multivariate statistics. The theoretical basics as well as the application of the methods to transport and economic data are covered.", "Data Analytics in Transportation:This course covers methods of data analytics and their application. These methods are relevant for preparing and analysing surveys and experiments and studying structured and unstructured data (Big Data) in the transport sector."]
October
Non-EU
Non-EU applicants : 31 May for the following winter semester EU applicants : 15 July for the following winter semester