Driving Tomorrow’s Solutions Today
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.
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.
Curriculum
MSc Smart Mobility
During the course of your studies, you will be taught entirely in English at UE to prepare you for a career in international companies after graduation. This Smart Mobility course follows a forward-thinking curriculum, equipping students with multidisciplinary expertise in intelligent transportation systems, connected and autonomous vehicles, and sustainable mobility solutions. You can complete the Master's in 2, 3 or 4 semesters - thanks to our Master's reform, the programme can be designed flexibly.
Key facts about Smart Mobility
Our Locations
Find out everything about our location in UE Innovation Hub!
*The programme will be available from the 1st of May 2026
Not on site? Then discover your future study location easily with the Virtual Campus Tour.
Fees
- From € 12,550 yearly
*Speak to one of our student advisors about available savings and financial support.
Got questions about financing? Check out our fees!
IHub: Our modern building not only offers enough physical space to develop but also enough mental space to create ideas and concepts. Internationality is a top priority at the Innovation Hub, which is why all our study programmes are fully taught in English.
Admission Requirements
Here are some things you will require for your application at the UE:
- Completed admission form
- CV & Copy of passport
- Completion of a Bachelor’s degree
- Good English language skills (at least B2)
- Basics in Statistics (at least 3 ECTS or a pre-master course at UE)
- A portfolio is not required
Studying in IHub: Potsdam is a city approx. 25 min by public transport away from Berlin. It was selected in 2017 as one of the 12 digital hubs in Germany. Potsdam offers the highest density of scientiests in Germany. Our campus is next to incubators such as SAP innovation center where over 200 people research AI and Blockchain technologies.
Semesters & Credits
- 120, 90 or 60 ECTS
- Master of Science MSc
- Teaching language: English
- The programme starts in both the winter (September) and summer (March) term each year.
Spotlight Module "Smart Cities & Urban Mobility"
In the Smart Cities & Urban Mobility module, students explore how cities can be transformed through intelligent, sustainable transportation systems. They gain a solid understanding of mobility challenges such as congestion, pollution, and limited urban space, and learn how to design innovative solutions.
The module focuses on transportation systems, data driven modelling, and smart technologies such as connected vehicles, intelligent traffic management, and mobility platforms. Students also examine the role of public transport, policy frameworks, and environmental considerations in shaping future urban mobility.
By the end of the module, students are able to analyse complex mobility systems, apply modelling and simulation techniques, and develop sustainable, technology driven solutions for modern cities.
What happens after your studies?
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.
Content of the Course
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.
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.
Study at the UE Innovation Hub!
Studying a Masters in Smart Mobility in Germany at UE’s Innovation Hub in Potsdam places you at the heart of one of Germany’s dynamic digital ecosystems. Located just outside Berlin (approx. 25 minutes by public transport), the purpose-built campus offers state-of-the-art facilities, collaborative spaces, and close links to industry partners such as the nearby SAP Innovation Center.
Choosing the Smart Mobility Master's programme at UE means more than a degree. You join a diverse international community (students from over 140 nationalities) in a forward-thinking environment focused on real-world projects, innovation, and practical skills. The programme gives you the technical knowledge, strategic perspective, and international network to lead change in sustainable transport and urban mobility.
Choosing the Smart Mobility Master's programme at UE means more than a degree. You join a diverse international community (students from over 140 nationalities) in a forward-thinking environment focused on real-world projects, innovation, and practical skills. The programme gives you the technical knowledge, strategic perspective, and international network to lead change in sustainable transport and urban mobility.
Learn from our Experts
Here you will find further valuable information about our professors and their career.
Prof. Dr. Rand Kouatly
Prof. Dr. Rand Kouatly is the programme lead for Software Engineering and Vice Dean for Business at the UE Innovation Hub.
Contact us today
FAQs
A Master’s in Smart Mobility in Germany at the University of Europe for Applied Sciences (UE) is a postgraduate programme focused on the future of transport, urban mobility, and intelligent systems. You’ll explore connected and autonomous vehicles, intelligent transportation systems (ITS), sustainable mobility solutions, electromobility, and data-driven urban planning. The programme combines engineering, technology, policy, and business strategy to prepare you for leadership roles in the mobility sector.
In the Smart Mobility Master's programme at UE, you study intelligent transportation systems, connected and autonomous vehicles, mobility-as-a-service (MaaS), urban transport systems, AI and data analytics for mobility, simulation and modelling, smart infrastructures, and sustainable mobility strategies. Modules blend technical, data-driven, and strategic perspectives, equipping you to design and manage next-generation transport solutions.
If you want to study smart mobility at master’s level, this programme is ideal for graduates with a Bachelor’s degree in engineering, business, urban planning, computer science, IT, or a related field. It also suits working professionals in automotive, logistics, public transport, or the public sector looking to upskill and transition into strategic mobility or innovation roles.
To enrol in the Master's degree in Smart Mobility at UE, you need a completed Bachelor’s degree in a relevant subject, good English language skills (at least B2 level), and basic knowledge in Statistics (at least 3 ECTS or a pre-master course at UE). Relevant work experience is beneficial. Full details are available on the programme page.
You don’t need advanced programming skills. The programme is designed for students from diverse academic backgrounds. Data literacy and comfort with digital tools are helpful; technical concepts (including data analytics and relevant technologies) are introduced progressively.
The Smart Mobility Master's programme covers autonomous vehicle systems, connected vehicles, IoT and sensor networks, AI and machine learning for transport, GIS, data analytics, simulation & modelling for transportation systems, intelligent traffic management, and electric vehicle infrastructure. You’ll gain hands-on experience with industry-relevant tools for smart city planning and mobility innovation.
Thanks to flexible options (60, 90, or 120 ECTS), the programme can be completed in 2 semesters (fast-track, approx. 1 year), 3 semesters (1.5 years), or 4 semesters (2 years) full-time. Part-time study is also possible. The programme includes a research project or thesis and starts in March or September.
Graduates of the Master's degree in Smart Mobility can pursue roles such as Smart City Consultant, Urban Mobility Planner, Transportation Engineer, Intelligent Transportation Systems Specialist, Mobility-as-a-Service expert, Data Analyst in mobility systems, EV infrastructure manager, or Project Manager for sustainable mobility solutions. Opportunities exist in government agencies, public transport operators, automotive OEMs, logistics companies, urban planning firms, and technology startups.
Yes. Smart Mobility is a rapidly growing field as cities and companies invest heavily in sustainable transport, autonomous systems, connected infrastructure, and smart cities. Graduates benefit from strong job prospects, the chance to work on impactful projects, and competitive salaries in a future-oriented sector.
Entry-level salaries in Germany for relevant master’s graduates typically range from €50,000 to €65,000+ per year, depending on the role, location, and experience (higher in the Berlin/Potsdam area and in tech/consulting). Senior roles in strategy, consultancy, or specialized technical positions often earn significantly more. Salaries vary by country and employer.