Master of Science in Industrial Engineering and Operations Research (Sustainable Mobility Analytics)
The Sustainable Mobility Analytics programme integrates entrepreneurship and innovation throughout the curriculum and has been launched to train our future innovators and change-makers in urban transport and mobility.
The track is organised in collaboration with the EIT Urban Mobility Master School and is accessible only to students pursuing a double-degree through either the MSc Sustainable Urban Mobility Transitions (SUMT) programme or the MSc Smart Mobility Data Science and Analytics (SMDSA) programme offered by the EIT Urban Mobility Master School.
Students spend each year at a different partner university (Ghent University, TU Eindhoven, KTH Royal Institute of Technology, UPC Barcelona, the University of Tartu, and the University of Lisbon) and graduate with two officially recognised Master of Science degrees from each of the two universities where they carried out their studies. They are also awarded the EIT Label certificate by the European Institute of Innovation and Technology.
EUR-ACE® Master (EURopean ACcredited Engineering Master)
The EUR-ACE label was accredited to this programme by the Commission des titres d’ingénieur (CTI), under the auspices of the European Network for Accreditation of Engineering Education (ENAEE).
EUR-ACE® is a framework and accreditation system that provides a set of standards that identifies high-quality engineering degree programmes in Europe and abroad.
| Course | Ref | MT1 | Semester | Language | Instructor | Crdt |
|---|---|---|---|---|---|---|
|
|
1
|
sem 1
|
en
|
El-Houssaine Aghezzaf
|
6
|
|
|
|
1
|
sem 1
|
en
|
Stijn De Vuyst
|
6
|
|
|
|
1
|
sem 1
|
en
|
Sofie Verbrugge
|
6
|
|
|
|
1
|
sem 2
|
en
|
Sidharta Gautama
|
3
|
|
|
|
1
|
sem 2
|
en
|
Michiel Vlaminck
|
3
|
|
The main subject Sustainable Mobility Analytics in the Master of Science in Industrial Engineering and Operations Research is part of the EIT Urban Mobility Master School. It can only be followed by students as part of a double degree with one the interuniversity partners, in accordance with the mobility scheme and subject to the requirements of the entry and exit university.
| Course | Ref | MT1 | Semester | Language | Instructor | Crdt |
|---|---|---|---|---|---|---|
|
|
1
|
sem 1
|
en
|
Giovanni Circella
|
5
|
|
|
|
1
|
sem 2
|
en
|
Sidharta Gautama
|
6
|
|
|
|
1
|
sem 2
|
en
|
Johan Verrue
|
4
|
|
|
|
1
|
sem 1
|
en
|
Dieter Fiems
|
6
|
|
Students subscribe to the courses from one of the tracks below, in accordance with the mobility scheme and subject to the requirements of the entry and exit university.
| Course | Ref | MT1 | Semester | Language | Instructor | Crdt |
|---|---|---|---|---|---|---|
|
|
1
|
sem 2
|
en
|
|
4
|
|
The student subscribes to elective courses from the study programme of the Master of Science in Industrial Engineering and Operations Research, in accordance with the mobility schedule and the conditions of the entry and exit university, under the double degree agreement:
- 18 credit units in the Track Data Analytics
- 16 credit units in the Track Urban Mobility Transitions
| Course | Ref | MT1 | Semester | Language | Instructor | Crdt |
|---|---|---|---|---|---|---|
|
|
2
|
sem 1
|
en
|
Pieter Leyman
|
6
|
|
|
|
2
|
sem 2
|
en
|
El-Houssaine Aghezzaf
|
6
|
|
The main subject Sustainable Mobility Analytics in the Master of Science in Industrial Engineering and Operations Research is part of the EIT Urban Mobility Master School. It can only be followed by students as part of a double degree with one the interuniversity partners, in accordance with the mobility scheme and subject to the requirements of the entry and exit university.
| Course | Ref | MT1 | Semester | Language | Instructor | Crdt |
|---|---|---|---|---|---|---|
|
|
2
|
sem 1
|
en
|
|
3
|
|
|
|
2
|
sem 2
|
en
|
Wouter Haerick
|
3
|
|
|
|
2
|
sem 2
|
en
|
Ivana Semanjski
|
4
|
|
|
|
2
|
year
|
nl,en
|
Patrick Segers
|
6
|
|
| Course | Ref | MT1 | Semester | Language | Instructor | Crdt |
|---|---|---|---|---|---|---|
|
|
2
|
year
|
en
|
|
24
|
|
Students subscribe to the courses from one of the tracks below, in accordance with the mobility scheme and subject to the requirements of the entry and exit university.
| Course | Ref | MT1 | Semester | Language | Instructor | Crdt |
|---|---|---|---|---|---|---|
|
|
2
|
sem 1
|
en
|
Nico Van de Weghe
|
5
|
|
| Course | Ref | MT1 | Semester | Language | Instructor | Crdt |
|---|---|---|---|---|---|---|
|
|
2
|
sem 1
|
en
|
Koos Fransen
|
3
|
|
The student subscribes to elective courses from the study programme of the Master of Science in Industrial Engineering and Operations Research, in accordance with the mobility schedule and the conditions of the entry and exit university, under the double degree agreement:
- 18 credit units in the Track Data Analytics
- 16 credit units in the Track Urban Mobility Transitions
| Course | Ref | MT1 | Semester | Language | Instructor | Crdt |
|---|---|---|---|---|---|---|
|
|
1
|
sem 1
|
en
|
El-Houssaine Aghezzaf
|
6
|
|
|
|
1
|
sem 1
|
en
|
Stijn De Vuyst
|
6
|
|
|
|
1
|
sem 1
|
en
|
Sofie Verbrugge
|
6
|
|
|
|
1
|
sem 2
|
en
|
Sidharta Gautama
|
3
|
|
|
|
1
|
sem 2
|
en
|
Michiel Vlaminck
|
3
|
|
|
|
2
|
sem 1
|
en
|
Pieter Leyman
|
6
|
|
|
|
2
|
sem 2
|
en
|
El-Houssaine Aghezzaf
|
6
|
|
The main subject Sustainable Mobility Analytics in the Master of Science in Industrial Engineering and Operations Research is part of the EIT Urban Mobility Master School. It can only be followed by students as part of a double degree with one the interuniversity partners, in accordance with the mobility scheme and subject to the requirements of the entry and exit university.
| Course | Ref | MT1 | Semester | Language | Instructor | Crdt |
|---|---|---|---|---|---|---|
|
|
1
|
sem 1
|
en
|
Giovanni Circella
|
5
|
|
|
|
1
|
sem 2
|
en
|
Sidharta Gautama
|
6
|
|
|
|
1
|
sem 2
|
en
|
Johan Verrue
|
4
|
|
|
|
1
|
sem 1
|
en
|
Dieter Fiems
|
6
|
|
|
|
2
|
sem 1
|
en
|
|
3
|
|
|
|
2
|
sem 2
|
en
|
Wouter Haerick
|
3
|
|
|
|
2
|
sem 2
|
en
|
Ivana Semanjski
|
4
|
|
|
|
2
|
year
|
nl,en
|
Patrick Segers
|
6
|
|
| Course | Ref | MT1 | Semester | Language | Instructor | Crdt |
|---|---|---|---|---|---|---|
|
|
2
|
year
|
en
|
|
24
|
|
Students subscribe to the courses from one of the tracks below, in accordance with the mobility scheme and subject to the requirements of the entry and exit university.
| Course | Ref | MT1 | Semester | Language | Instructor | Crdt |
|---|---|---|---|---|---|---|
|
|
2
|
sem 1
|
en
|
Nico Van de Weghe
|
5
|
|
| Course | Ref | MT1 | Semester | Language | Instructor | Crdt |
|---|---|---|---|---|---|---|
|
|
1
|
sem 2
|
en
|
|
4
|
|
|
|
2
|
sem 1
|
en
|
Koos Fransen
|
3
|
|
The student subscribes to elective courses from the study programme of the Master of Science in Industrial Engineering and Operations Research, in accordance with the mobility schedule and the conditions of the entry and exit university, under the double degree agreement:
- 18 credit units in the Track Data Analytics
- 16 credit units in the Track Urban Mobility Transitions
- Possess advanced, theoretically profound, knowledge of the own engineering discipline and the ability to apply this knowledge in a creative and critical way to new, complex problems.
- Be able to design innovative products or processes using appropriate or autonomously developed and validated models and techniques, using recent digital technologies.
- Demonstrate integrative and system-oriented problem-solving thinking under uncertain and conflicting conditions, with attention for the correct level of abstraction.
- Be able to formulate a research question from a complex scientific problem, after in-depth study of relevant and state-of-the-art scientific literature.
- Be able to critically interpret and communicate one's own results in English to both experts and laypersons and defend decisions made.
- Be able to position oneself in, and function within an international team, with an understanding of effective leadership and an awareness of cultural sensitivity.
- Demonstrate a lifelong learning attitude to keep up with the advancements and developments in scientific research in one’s own discipline and continue to develop one's competencies.
- Act according to the principles of research integrity, professional deontology and ethics.
- Demonstrate sustainability thinking, entrepreneurial skills, and pay attention to the role of science, technology and innovation in addressing societal issues from various perspectives, and in an international context.
- Critically reflect on one's own thinking and actions, and act according to the limitations of one's competencies in a conscientious and responsible manner.
- Have a thorough knowledge of Operations Research models and methods and apply this knowledge in developing optimisation and simulation models for the design and performance improvement of complex operational systems in mobility and supply chains, taking into account uncertainty, incomplete data, and the inaccuracy of modelling assumptions.
- Continuously and critically analyse and optimise the different stages in creating and delivering a product or service, in order to improve the efficiency of operational processes.
- Reflect critically on the practical relevance and feasibility of design and improvement proposals by considering economic and financial conditions, the role of human factors and technological developments, and the implications on other actors in the business ecosystem as well as the broader society and environment.
- Have a good understanding of traffic flow models, data analytics, transport and mobility systems and innovation & entrepreneurship in the context of urban mobility.
- Design and analyse innovative solutions and grasp entrepreneurial opportunities for urban mobility sustainability challenges.