Program Overview

Introduction to the Smart Mobility Data Science and Analytics Program

The Smart Mobility Data Science and Analytics program is a two-year, double degree program (120 ECTS) that leads to two degrees, one from the Entry University and one from the Exit University. This program is part of the EIT Urban Mobility Master's programs.

Program Structure

The program curricula include a mandatory minor in Innovation & Entrepreneurship of at least 30 ECTS, a mandatory MSc thesis of 30 ECTS, and a mandatory organizational and international mobility. Students will participate in an intensive summer school and a Kick-off event as part of the curriculum, focusing on addressing critical city-based challenges.

Application Deadlines

The program has two application periods:

• Period 1: 15 November – 31 January
• Period 2: 1 February – 15 April

Program Details

The structure of the 2-year program is as follows:

• First year: Entry University, minimum 60 ECTS including I&E courses (minimum 18 ECTS)
• Summer School, 3 ECTS (included in second year I&E courses)
• Second year: Exit University, minimum 60 ECTS including I&E courses (minimum 12 ECTS) and a situated industry-based Master's thesis (30 ECTS)

Partner Universities

The partner universities for this program are:

• Ghent University
• TU/e
• University of Tartu
• UPC
• University of Lisbon-Técnico.IST

Program Curriculum

The program is a comprehensive combination of an I&E Minor (30 ECTS) and a Technical Major (90 ECTS), including:

Mandatory Courses

• MTAT.03.238 Algorithmics 6 ECTS
• LTOM.02.050 Geography, Communication and Spatial Mobility 6 ECTS
• LOOM.02.328 Economic Geography of Urban Systems 2 ECTS
• LTOM.02.041 Geospatial Analysis with Python and R 6 ECTS
• MTAT.08.040 Intelligent Transportation Systems 6 ECTS
• LTAT.06.014 Data Science for Urban Mobility 3 ECTS
• LTAT.06.016 Mobility Modelling 6 ECTS
• MTAT.03.237 Practical Training in Informatics 6 ECTS (internship)

I&E Specialization Courses

• MTAT.03.310 Business Analysis 6 ECTS
• MTAT.03.325 Software Product Management 6 ECTS
• MTAT.03.278 Software Entrepreneurship Project 12 ECTS
• MTAT.03.293 Introduction to Software Entrepreneurship 3 ECTS
• LTOM.02.030 Demography, Global Migration and Contemporary Cities 6 ECTS
• LTAT.02.003 Big Data Management 6 ECTS
• LTAT.05.011 Digital Product Design Introductory Project 3 ECTS
• MJJV.11.001 Principles of Entrepreneurship I 3 ECTS
• MJJV.11.002 Principles of Entrepreneurship II 3 ECTS
• LTAT.05.019 Digital Product Management Industry Project 6 ECTS

Elective Courses

• LTAT.02.007 Data Engineering 6 ECTS
• LTAT.06.007 Distributed Systems 6 ECTS
• MTAT.03.227 Machine learning 6 ECTS
• LTAT.06.011 Fundamentals of Autonomous Driving 6 ECTS
• MTAT.08.024 Distributed Systems Seminar 12 ECTS
• LTAT.06.029 Cloud Computing and Smart City Seminar 12 ECTS
• LTAT.06.010 Pervasive Data Science Seminar 12 ECTS
• MTAT.03.324 Participation in Hackathons 3 ECTS

Master's Thesis Project

• LTAT.00.002 Master's Thesis 30 ECTS

Conclusion

The Smart Mobility Data Science and Analytics program offers a unique combination of technical and entrepreneurial skills, preparing students for careers in urban mobility and related fields. With its strong focus on innovation, entrepreneurship, and international collaboration, this program provides students with a comprehensive education and excellent career prospects.