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 programme, it integrates entrepreneurship & innovation throughout the coursework and was launched to train future elite data scientists in urban mobility and innovation.
With our programme, 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 programme 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 Netherlands, Belgium, Italy, Spain, Estonia
Deep tech fields
Artificial Intelligence & Machine Learning (including Big Data)
Belgium, Estonia, Italy, Netherlands, Spain