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The consecutive Master‘s study programme Smart Mobility (M.Sc.) is application-oriented and provides students an extensive knowledge in the field of smart mobility, that is a multidisciplinary area that focuses on using technology and innovation to improve transportation and mobility solutions. This includes the study of various components of intelligent mobility systems, such as connected vehicles, intelligent transportation systems (ITS), smart infrastructures, and emerging trends such as autonomous vehicles and electromobility.
Graduates acquire an extensive, detailed and critical understanding of the knowledge necessary to design and engineer electric and autonomous vehicles, considering safety and reliability standards. Furthermore, they are able to acquire new knowledge independently as well as to develop scientific issues and to work on them basing on the current state of the art, in order to develop innovative solutions, do analysis and optimization of transportation systems to improve efficiency, sustainability, and safety.
Future career opportunities
Graduates of the Smart Mobility (M.Sc.) programme are prepared to shape the future of urban transportation and smart city development. They combine technical expertise with an understanding of urban systems, opening up career paths such as Smart City Consultant, Urban Mobility Planner, Transportation Engineer, or Data Analyst in mobility and traffic systems. They can also work as Intelligent Transportation Systems specialist, Mobility as a Service expert, or Project Manager for sustainable mobility solutions. Opportunities exist across sectors including urban planning, public transport, automotive, logistics, government agencies, and technology companies. With their interdisciplinary skill set, graduates are well equipped to contribute to sustainable urban development, digital transformation, and innovation in mobility systems.
Semesters & Credits
The course covers the key concepts and technologies shaping smart cities and urban mobility. Students explore transportation systems and their components, including infrastructure, vehicles, and users, alongside challenges such as congestion, pollution, and limited urban space.
Core topics include traffic flow theory, transportation modelling, and simulation methods, as well as the use of data analytics and big data to optimise mobility systems. Students gain insight into Intelligent Transportation Systems, connected mobility technologies, and real time traffic management. The course also addresses sustainable transport strategies, public transit planning, and the impact of emerging technologies such as autonomous vehicles.
In addition, students examine policy and regulatory frameworks and the role of governments and stakeholders in developing efficient and sustainable urban mobility solutions.
Here are some things you will require for your application at the UE: