EIT Urban Mobility Master School - UPC in Spain

Smart Mobility Data Science and Analytics

EIT Urban Mobility Master School - UPC in Spain

Degree:Master
Field of Study:Urban Studies/Affairs
Data Science, General
Data Analytics, General
Length:2 Year(s)
Cost per year:*
National: $26,097

Cost is an approximation per year.

Description:

Data is central to our future and technological advancement. As we continue to urbanise 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 utilise findings to address our cities' most pressing challenges. Today, there is an increasing need for 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 emphasises new and emerging transportation technologies and services for citizens, goods and logistics. Furthermore, as an EIT Urban Mobility Master School programme, it integrates entrepreneurship and innovation throughout the coursework, specifically designed to train future elite data scientists in urban mobility and innovation.

Polytechnic University of Catalonia (UPC): Students will receive an official diploma upon successfully completing the "Máster Universitario en Movilidad Urbana/Master in Urban Mobility por la Universidad Politécnica de Catalunya Especialidad en Innovación y Emprendimiento / Innovation and Entrepreneurship". The major obtained (Smart Mobility Data Science and Analytics) will be specified in the supplement to the diploma as an itinerary. The diploma will include translation to three languages: Catalan, Spanish, and English.

Prerequisites:

These courses are intended as guidelines. Speak to your guidance counsellor to see what courses are offered at your school.
    The programme welcomes candidates who have a solid foundation in analytical problem solving with an eye for detail, as demonstrated by a bachelor's degree in Engineering, Computer Science, Information Technology, Software Engineering, Computer Engineering, Information Systems or a related field.
    Test Scores:
    • Graduate Record Examination

    * We make every attempt to provide accurate information on prerequisites, programs, and tuition. However, this information is subject to change without notice and we highly recommend that you contact the school to confirm important information before applying.

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    Modified on September 18, 2025

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