Smart Mobility Data Science and Analytics, M.Sc. | EIT Urban Mobility Master School | Eindhoven, Netherlands
Studyportals
M.Sc. On Campus

Smart Mobility Data Science and Analytics

24 months
Duration
16000 EUR/year
4000 EUR/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

Smart Mobility Data Science and Analytics at EIT Urban Mobility Master School is designed in an interdisciplinary fashion and emphasizes new and emerging transportation technologies and services for citizens, goods, and logistics.

Overview

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 them, critically understand their 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. 

Smart Mobility Data Science and Analytics at EIT Urban Mobility Master School 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.

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, The Netherlands
  • Ghent University, Belgium
  • University of Tartu, Estonia 
  • UPC Barcelona Tech, Spain
  • Politecnico di Milano, Italy

(please note, not all combinations may be possible)

Info for applicants to POLIMI 

If you choose POLIMI as one of your preferences and you have a non-Italian degree (or you are completing your bachelor’s outside Italy), you need to submit an additional application on POLIMI’s Online Services for the Master of Science in “Mobility Engineering”, in parallel with your EIT Urban Mobility application.

In period 2 the local POLIMI portal for non-EU international applicants closes on March 2, before the EIT Urban Mobility deadline. If you are a non-EU applicant in period 2, consider the local deadline on March 2, 2023 for your POLIMI application. For more detailed instructions for POLIMI application, please refer to the dedicated website.

Info for applicants to Ghent University 

If you choose Ghent University as one of your preferences, you need to submit a separate application on Ghent University's Online Application Platform for the 'Master of Science in Industrial Engineering and Operations Research, Main Subject: Sustainable Mobility Analytics’, in parallel with your EIT Urban Mobility Application. Please note that the parallel application to Ghent University must also be submitted by February 1, 2023 for Period 1; and April 14, 2023 for Period 2. 

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.  

Participate in a programme webinar!

The Master School Office organizes master’s programmes webinars where prospective applicants can talk to the Programme Leads and university representatives; chat with the current students, and get answers to all their questions!

If you wish to receive the recording of a webinar on the Smart Mobility Data Science and Analytics master’s programme and/or if you wish to be alerted to participate in our next live webinar, please fill in the following form: https://forms.gle/XwsYE8Zf7JY2yd6w7 

Programme Structure

See the section "How is the programme structured?" in the Program Description.

Audience

The programme welcomes candidates who have a solid foundation in analytical problem solving, as demonstrated by a degree in Engineering, Information Science, Computer Science, Statistics or Geoinformation Technology. The programme also encourages other relevant disciplines, provided they have verifiable experience in programming, calculus, linear algebra, and mathematical statistics.

Key information

Duration

  • Full-time
    • 24 months

Start dates & application deadlines

More details

Period 1: November 15, 2022 - February 1, 2023 (17:00 CET)

Period 2: February 15,2023 - April 14, 2023 (17:00 CET)

Credits

120 ECTS

Delivered

On Campus

Academic requirements

We are not aware of any academic requirements for this programme.

Other requirements

General requirements

  • 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.

Tuition Fee

To alway see correct tuition fees
  • International

    16000 EUR/year
    Tuition Fee
    Based on the tuition of 16000 EUR per year during 24 months.
  • EU/EEA

    4000 EUR/year
    Tuition Fee
    Based on the tuition of 4000 EUR per year during 24 months.

Living costs for Eindhoven

850 - 1350 EUR /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

EIT Urban Mobility offers generous scholarships to attract top talents worldwide. Our scholarships are merit-based and cover your study duration of two years. They include partial participation fees waivers and monthly allowances. Please check the programme website.

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

This programme is taught in different countries. Which country are you interested in?

Our partners

Smart Mobility Data Science and Analytics
-
EIT Urban Mobility Master School
Smart Mobility Data Science and Analytics
-
EIT Urban Mobility Master School

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