MSc Smart Mobility Data Science and Analytics

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 programme, it integrates entrepreneurship & innovation throughout the coursework and was launched to train future elite data scientists in urban mobility and innovation.

How is the programme structured?

All programmes at the EIT Urban Mobility Master School have a unique study path:

• Students study one year each at two different universities, the “entry” university and the “exit” university. All options are located at a leading university in Europe in the field of urban mobility.
• Graduating students will be awarded two officially recognised Master of Science degrees, from each of the two universities. Moreover, the programme is designed so that students may attain the qualifications for a certificate awarded by the European Institute of Innovation and Technology.
• During the first-year studies, students will be introduced Innovation and Entrepreneurship and participate in an extended Challenge Project. During the same year, students will acquire essential technical skills for working with urban mobility challenges.
• Between the first and second year, students will participate in a Summer School applying new skills to two different cities within Europe.
• In the second year, students will choose from several more specialised courses in both technical content and innovation and entrepreneurship. Students will also participate in a shorter challenge project that includes an internship at a company or organisation working to meet urban mobility challenges. To complete their degree, in the second year, students will carry out an independent master thesis, combining and demonstrating their full set of technical and entrepreneurial skills.
• You will have a wide range of career opportunities, within the public and private sector, as well as the business know-how to start your own business or conduct rigorous research.

Click here to discover more about our Kick-off events and Summer School! 

Who can apply?

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, Computer Science, Information Technology, Software Engineering, Computer Engineering, Information Systems or a related field.

Where can I study Smart Mobility Data Science and Analytics?

The available universities for the Smart Mobility Data Science and Analytics programme are the following:

• Eindhoven University of Technology – Eindhoven, Netherlands
  • To see the course list, click here
• Ghent University – Ghent, Belgium
  • The course list, click here
• Polytechnic University of Catalonia (UPC) – Barcelona, Spain
  • To see the course list, click here
• University of Tartu – Tartu, Estonia
  • To see the course list, click here
• University of Lisbon-Técnico.IST – Lisbon, Portugal
  • To see the course list, click here

What are the career opportunities?

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.

Which diploma will I receive after graduation?

Eindhoven University of Technology: The TU/e master’s programme leads to a “Master of Science” degree. Students receive an official diploma both in English and in Dutch. The name of the Master’s programme (Architecture, Building and Planning) and the track (Smart Mobility Data Science and Analytics) will also be printed on the diploma.

Ghent University: You will receive a “Master of Science in Industrial Engineering and Operations Research (Transport and Mobility Engineering)" diploma from Ghent University.

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 (e.g. Smart Mobility Data Science and Analysis) will be specified in the Supplement to the Diploma as an itinerary. The diploma and the supplement will include translation to three languages: Catalan, Spanish, and English.

University of Tartu: Students will receive a Master of Science in Engineering (Computer Science) degree. The diploma will be in Estonian and English.

University of Lisbon-Técnico.IST: Students will receive a Master of Science in Transport System.

Programme Lead:

Dr. Amnir Hadachi

Institute of Computer Science, University of Tartu

Dr. Amnir Hadachi is the head of the Intelligent Transportation Systems Lab and a lecturer at the Institute of Computer Science of University of Tartu. He is also an active member of EIT Urban Mobility and Associate Editor of Elsevier Journal of Urban Mobility. He has been leading and involved in many projects for applied research funded by the European Regional Funds, Inter-Ministry Fund, EIT Urban Mobility, and several IT companies. Besides, he has been keen on developing and strengthening collaborations between academia and industry in Estonia and at the University of Tartu, which has led him to receive the award “Applied Researcher of the Year” for his applied research activities and collaboration with industry in 2019 by the Institute of Computer Science. He received his Ph.D. in Computer Science from the National Institute of Applied Sciences (INSA de Rouen), France, in 2013. His main research field is related to spatio-temporal data analytics and mobility modelling, focusing on intelligent transportation systems, location-based services, smart cities and autonomous vehicles.

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