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
|
Pieter Leyman
|
6
|
|
|
|
1
|
sem 1
|
en
|
Sofie Verbrugge
|
6
|
|
|
|
1
|
sem 2
|
en
|
Michiel Vlaminck
|
3
|
|
The track Sustainable Mobility Analytics in the Master of Science in Industrial Engineering and Operations Research is part of the EIT Urban Mobility Master School. It may only be taken 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
|
Dieter Fiems
|
6
|
|
|
|
1
|
sem 2
|
en
|
Sidharta Gautama
|
6
|
|
|
|
1
|
sem 2
|
en
|
Ivana Semanjski
|
4
|
|
|
|
1
|
sem 2
|
en
|
|
4
|
|
The student takes 19 credits of 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.
| Course | Ref | MT1 | Semester | Language | Instructor | Crdt |
|---|---|---|---|---|---|---|
|
|
2
|
sem 2
|
en
|
Sidharta Gautama
|
3
|
|
|
|
2
|
sem 2
|
en
|
El-Houssaine Aghezzaf
|
6
|
|
The track Sustainable Mobility Analytics in the Master of Science in Industrial Engineering and Operations Research is part of the EIT Urban Mobility Master School. It may only be taken 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
|
|
|
Nico Van de Weghe
|
5
|
|
|
|
2
|
sem 1
|
en
|
Dieter De Witte
|
4
|
|
|
|
2
|
sem 2
|
en
|
Wouter Haerick
|
3
|
|
|
|
2
|
year
|
nl,en
|
Patrick Segers
|
6
|
|
| Course | Ref | MT1 | Semester | Language | Instructor | Crdt |
|---|---|---|---|---|---|---|
|
|
2
|
year
|
en
|
|
24
|
|
The student takes 19 credits of 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.
| 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
|
Pieter Leyman
|
6
|
|
|
|
1
|
sem 1
|
en
|
Sofie Verbrugge
|
6
|
|
|
|
1
|
sem 2
|
en
|
Michiel Vlaminck
|
3
|
|
|
|
2
|
sem 2
|
en
|
Sidharta Gautama
|
3
|
|
|
|
2
|
sem 2
|
en
|
El-Houssaine Aghezzaf
|
6
|
|
The track Sustainable Mobility Analytics in the Master of Science in Industrial Engineering and Operations Research is part of the EIT Urban Mobility Master School. It may only be taken 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
|
Dieter Fiems
|
6
|
|
|
|
1
|
sem 2
|
en
|
Sidharta Gautama
|
6
|
|
|
|
1
|
sem 2
|
en
|
Ivana Semanjski
|
4
|
|
|
|
1
|
sem 2
|
en
|
|
4
|
|
|
|
2
|
sem 1
|
en
|
|
3
|
|
|
|
2
|
|
|
Nico Van de Weghe
|
5
|
|
|
|
2
|
sem 1
|
en
|
Dieter De Witte
|
4
|
|
|
|
2
|
sem 2
|
en
|
Wouter Haerick
|
3
|
|
|
|
2
|
year
|
nl,en
|
Patrick Segers
|
6
|
|
| Course | Ref | MT1 | Semester | Language | Instructor | Crdt |
|---|---|---|---|---|---|---|
|
|
2
|
year
|
en
|
|
24
|
|
The student takes 19 credits of 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.
- Master and apply advanced knowledge in the own engineering discipline in solving complex problems.
- Apply Computer Aided Engineering (CAE) tools and advanced communication instruments in a creative and purposeful way.
- Have a thorough knowledge of Operations Research models and methods and apply this knowledge to complex problems in various Industrial Engineering applications.
- Have a good understanding of Engineering Economy and ICT in the context of industrial companies and other organizations.
- Specifically for main subject ‘Manufacturing and Supply Chain Engineering’: have a thorough knowledge of time study and methods engineering, quality engineering, manufacturing and supply chain planning and control.
- Specifically for main subject ‘Manufacturing and Supply Chain Engineering’: creatively apply Industrial Engineering techniques to analyze, optimize and (re)design manufacturing and supply chain systems.
- Specifically for main subject ‘Transport and Mobility Engineering’: have a thorough knowledge of traffic flow models, spatiotemporal data processing, routing algorithms and transport and mobility systems.
- Specifically for main subject ‘Transport and Mobility Engineering’: creatively apply Industrial Engineering techniques to analyze, optimize and (re)design systems and services in transport, traffic, and urban mobility.
- Specifically for main subject ‘Sustainable Mobility Analytics’: have a good understanding of traffic flow models, data analytics, transport and mobility systems and innovation & entrepreneurship in the context of urban mobility.
- Specifically for main subject ‘Sustainable Mobility Analytics’: design and analyze innovative solutions and grasp entrepreneurial opportunities for urban mobility sustainability challenges.
- Analyse complex problems and translate them into concrete research questions.
- Consult the scientific literature as part of the own research.
- Select and apply the appropriate models, methods and techniques.
- Develop and validate mathematical models and methods.
- Interpret research findings in an objective and critical manner.
- Analyse business processes under the circumstances of variability and uncertainty through the use of mathematical optimisation, simulation and statistical techniques.
- Calculate and follow up the costs and benefits of projects and project proposals, taking the uncertainty and impreciseness of data into account adequately.
- Autonomously develop optimisation and simulation models for complex industrial systems.
- Creatively develop optimisation and simulation models for realistic industrial systems.
- Independently form an opinion on complex situations and problems, and defend this point of view.
- Apply knowledge in a creative, purposeful and innovative way to research, conceptual design and production.
- Critically reflect on one’s own way of thinking and acting, and understand the limits of one’s competences.
- Stay up‐to‐date with the evolutions in the discipline to elevate the own competences to expert level.
- Readily adapt to changing professional circumstances.
- Reflect critically on the practical relevance and feasibility before implementing improvement proposals, while taking into account the role of human and technological factors.
- Have the ability to communicate in English about the own field of specialisation.
- Project management: have the ability to formulate objectives, report efficiently, keep track of targets, follow the progress of the project,...
- Have the ability to work as a member of a team in a multi‐disciplinary working‐environment, as well as being capable of taking on supervisory responsibilities.
- Report on technical or scientific subjects verbally, in writing and using graphics.
- Work together with colleagues from the own and other fields of expertise as well as with technical and assisting staff.
- Provide a training in the developed working methods to the involved assisting staff, bearing in mind multidisciplinary aspects.
- Act in an ethical, professional and social way.
- Recognize the most important business and legal aspects of the own engineering discipline.
- Understand the historical evolution of the own engineering discipline and its social relevance.
- Integrate social and societal impacts of new industrial and technological developments into business strategies, systems and processes.
- Master the complexity of technical systems by using system and process models.
- Reconcile conflicting specifications and prior conditions in a high‐quality and innovative concept or process.
- Synthesize incomplete, contradictory or redundant data into useful information.
- Possess sufficient ready knowledge and understanding to evaluate the results of complex calculations, or make approximate estimates.
- Pay attention to entire life cycles of systems, machines, and processes.
- Pay attention to sustainability, energy‐efficiency, environmental cost, use of raw materials and labour costs.
- Pay attention to all aspects of reliability, safety, and ergonomics.
- Have insight into and understanding of the importance of entrepreneurship.
- Show perseverance, innovativeness, and an aptitude for creating added value.
- Continuously and critically analyse and optimise the stages a product completes in order to improve the efficiency of business processes.
- Design and improve operational systems that generate products and services, based on scientific principles.
- Plan and clearly describe operational duties that employees have to perform, taking into consideration the necessary machinery and resources.
- Develop methods that allow to design new goods and services, avoiding any waste of resources.