Overview
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.
What are the career opportunities?
Graduates of the Smart Mobility Data Science and Analytics joint programme from Eindhoven University of Technology (TU/e) will receive a degree, as well as training in entrepreneurship and innovation, practical experience in the industry, and a strong network throughout the EU; unlocking incredible opportunities for a career in the world of big mobility data. The skills acquired during the programme are in high demand in all sectors related to mobility and transport, and at private logistics and transport management companies, ride-sharing startups, the automotive sector, and cities and public institutions.
Programme Structure
- The curriculum provides students with profound knowledge in advanced statistical expertise to model and forecast mobility patterns, essential for future city planning. Moreover, the curriculum includes 30 ECTS dedicated to innovation and entrepreneurship, distinguishing the SMDSA track in the field of transport-related studies.
- Through hands-on projects, students apply their knowledge to real-world mobility issues, preparing them to lead as future entrepreneurs in the field.
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , International
- Apply before , EEA/EU
-
Language
IELTS & PTE Test Preparation
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- Live classes with current and ex-examiners
- Accurate score assesment, always
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Credits
Delivered
Campus Location
- Eindhoven, Netherlands
Disciplines
Sustainable Development Data Science & Big Data Data Analytics View 62 other Masters in Data Science & Big Data in NetherlandsWhat students do after studying Computer Science & IT
This information is based on LinkedIn alumni data for graduates from 2018 to 2024 and may not fully represent all career outcomes
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
IELTS & PTE Test Preparation
Admission to your dream university starts with a high IELTS or PTE score. Earn your target score with E2's guided test preparation.
- Study on your own schedule
- Live classes with current and ex-examiners
- Accurate score assesment, always
- E2 Score Guarantee - Get your score or your money back!
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 recognised university.
- The Smart Mobility Data Science & Analytics 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.
Tuition Fees
-
International Applies to you
Applies to youNon-residents16000 EUR / year≈ 16000 EUR / year -
Domestic Applies to you
Applies to youCitizens or residents4000 EUR / year≈ 4000 EUR / year
Living costs
Eindhoven
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Smart Mobility Data Science and Analytics.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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