About the Programme
Why study Smart Mobility Data Science and Analytics at the EIT Urban Mobility Master School?
Data is central to our future and technological advancement. As we continue to urbanize and gather more data about our mobility patterns and urban systems, the challenge is not simply the amount of data, but how we manage it, critically understand its quality, and utilize findings to address our cities’ most pressing challenges. Today, there is an expanding need to forge a new generation of data scientists, capable of exploring our ever-increasing urban data and extracting meaningful insights. Such work is critical to supporting cities’ strategic decisions and pushing us towards a more sustainable future, centred on efficient resource use, a clean environment, equitable citizen engagement, and a healthy, low-carbon society. The Smart Mobility Data Science and Analytics programme is designed in an interdisciplinary fashion and emphasizes new and emerging transportation technologies and services for citizens, goods, and logistics. Furthermore, as an EIT Urban Mobility Master School program, it integrates entrepreneurship & innovation throughout the coursework and was launched to train future elite data scientists in urban mobility and innovation.
Where can I study Smart Mobility Data Science and Analytics
The available universities for the Smart Mobility Data Science and Analytics programme are:
- Eindhoven University of Technology (TU/e), Eindhoven, Netherlands
- Politecnico di Milano, Italy
- University of Tartu, Tartu, Estonia
- Polytechnic University of Catalonia (UPC), Barcelona, Spain
What are the career opportunities?
With our program, you will not just gain a degree as a data scientist in transportation and mobility. You will graduate with training in entrepreneurship & innovation, practical experience in the industry, and a strong network throughout the EU, unlocking incredible opportunities for your career in the world of Big Mobility Data. The skills acquired during the program are highly demanded in all the sectors related to mobility and transport and at every level in the industry – private companies in logistics and transport management, ride-sharing startups, the automotive sector, and cities and public institutions.
The programme welcomes candidates who have a solid foundation in analytical problem solving with an eye to details, as demonstrated by a bachelor’s degree in Engineering, Information Science, Computer Science, Statistics or Geoinformation Technology. The Smart Mobility Data Science and Analytics programme also encourages applicants with a Bachelor’s degree in Urban Planning, Geography, Economics, Business Analytics or other relevant disciplines, provided they have verifiable experience in programming, calculus, linear algebra, and mathematical statistics.
Applicants must have completed a Bachelor’s degree encompassing a minimum of 180 ECTS credits or equivalent academic qualifications from an internationally recognized university.
Students in their final year of undergraduate education may also apply and if qualified, receive a conditional acceptance.
If you have not completed your studies, please include a written statement from the degree administration office (or equivalent department), confirming that you are enrolled in the final year of your education and giving your expected completion date – which should be before the start of the Master's programme.
If you receive a conditional offer, you should present your degree certificate to your entry university before enrollment at the latest. Applicants following longer technical programmes and who have completed courses equivalent to an amount of 180 ECTS, will be considered on a case-by-case basis.
The world’s cities are undergoing a massive transformation in how they function, how people and goods move, and how the city and its services are designed and managed to support such changes. This transformation is being driven by new technologies, by new industrial actors, and by new priorities to our sustainability goals.
To adapt to and to guide this transformation, the transport industry needs a new generation of graduates.
A scholarship is available, click "Register" to find out more.