Transportation Economics and Data Science

Our Master’s programme in Transportation Economics and Data Science provides you with scientific methods and tools for understanding, processing and solving imminent transport-related issues. The compulsory module (25 credits) provides the sound methodological knowledge for this degree programme. As part of the elective modules (65 credits), at least four modules from five offered specialisations, one from five research seminars, as well as supplementary courses from the fields of transport economics, economics, business administration, transport engineering, technical languages ​​and a professional internship must be chosen. These are the five specialisations: 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. In addition, you can acquire skills in foreign languages or integrate a vocational internship into your studies. Therefore, the Master's programme provides a high level of flexibility. You can include your ideas, wishes and interests in your studies. The degree programme has a modular structure and runs over four semesters (eight semesters in part-time study). Modules worth at least 90 credit points (ECTS) have to be taken. The module examinations are taken during the course of study. A Master's thesis (fourth semester or seventh or eighth semester) including a disputation must be completed (30 ECTS). First Semester (30 ECTS): 25 ECTS Compulsory modules (a total of five modules of 5 ECTS each: all five courses are compulsory): Operations Research and Logistics Methods in Transport Policy Spatial Economics and the Environment Theoretical Multivariate Statistics Methods in Data Analytics 5 ECTS Supplementary courses (usually one module) Objective: Creating common methodological knowledge in addition to the admission requirements as preparation for the specialisations Second Semester (30 ECTS): 20 ECTS in modules of specialisations in transport economics  10 ECTS Supplementary courses (compulsory elective modules; in-depth modules of non-selected specialisations in transportation economics: modules in economics, transport engineering, foreign language and selected modules of other degree programmes) Third Semester (30 ECTS; mobility window): 15 ECTS Research work: in one of the two chosen specialisations (compulsory elective) The aim of the research work is to deal in depth and in a research-oriented manner with a transport economics topic. This will usually be done as a preliminary work for the Master's thesis. In addition, you can choose one of the following: 15 ECTS Supplementary courses (modules from economics, transport engineering, foreign language communication and individual modules from other degree programmes) or 15 ECTS Work experience (vocational internship) (compulsory elective module) You can use the third semester (mobility window