Master’s in Urban Mobility Engineering, ITS & V2X
Online master's programme of 1,900 hours in urban mobility, ITS and V2X engineering, structured in 12 modules covering ITS systems, demand modelling, V2X communications, connected vehicles, smart public transport, MaaS, micromobility, mobility data analytics, autonomous vehicles, cybersecurity and project evaluation, with Directive 2010/40/EU (ITS), ETSI EN 302 637-2 (CAM) and PTV Visum, and an assigned technical tutor.
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What you will be able to do
Design ITS architectures for urban mobility management.
Model transport demand with professional tools.
Apply ETSI standards for V2X communications.
Plan C-ITS services on urban corridors.
Analyse large volumes of mobility data.
Assess cybersecurity risks in connected systems.
Carry out economic appraisal of smart mobility projects.
Who it's for
- ITS systems engineers.
- Connected vehicle specialists.
- Urban mobility planners.
- Mobility data analysts.
- MaaS project managers.
- Intelligent transport consultants.
- Engineering or science graduates aiming to work in urban mobility.
What you'll work with
- Directive 2010/40/EU (ITS) as amended by Directive (EU) 2023/2661 (deployment of intelligent transport systems)
- ETSI EN 302 637-2 (CAM) (cooperative awareness messages)
- ETSI EN 302 637-3 (DENM) (decentralised environmental notification messages)
- SAE J3016 (levels of driving automation)
- ETSI TS 103 097 (security headers and certificate formats for ITS)
- ISO 14813-1 (ITS reference model architecture)
- Delegated Regulation (EU) 2017/1926 (EU-wide multimodal travel information services)
- PTV Visum
- PTV Vissim
- SUMO
- Python (pandas, scikit-learn)
- Wireshark
12 modules · 1900 h
1.1ITS reference architecture and FRAME1.2Value chain of mobility services1.3Traffic sensors: loops, radar and cameras1.4ITS communications: fibre, cellular and DSRC1.5Traveller information systems1.6Management centres and urban platforms1.7Mobility data: sources and quality1.8ITS Directive 2010/40/EU and its revision1.9Assessing the benefits of ITS1.10Case study: map of ITS services in a capital city
2.1The classic four-stage model2.2Trip generation, distribution and modal split2.3User-equilibrium traffic assignment2.4Activity-based models2.5Mobile phone data for O/D matrices2.6Model calibration and validation2.7Shared micromobility models2.8Future demand scenarios2.9Elasticity and policy analysis2.10Practical exercise: urban transport model in Visum
3.1V2V, V2I, V2P and V2N use cases3.2ITS-G5 based on IEEE 802.11p3.3C-V2X PC5 and Uu over LTE and 5G3.4CAM, DENM, SPATEM and MAPEM messages3.5Latency, reliability and range3.6Message security and certificates3.7ITS station architecture to ETSI3.8Spectrum management at 5.9 GHz3.9Coexistence of radio technologies3.10Lab: capturing and decoding V2X messages
4.1C-ITS Day 1 and Day 1.5 services4.2Roadworks and stationary vehicle warnings4.3Signal priority for emergency vehicles4.4GLOSA: green light optimal speed advisory4.5In-vehicle signage information4.6Integration with navigation providers and manufacturers4.7Market penetration and network effects4.8European C-Roads pilots and their evaluation4.9Interfaces with road infrastructure4.10Case study: deploying C-ITS services on an urban corridor
5.1Automatic vehicle management systems (AVMS/SAE)5.2Automatic vehicle location5.3Real-time information at stops5.4Bus signal priority5.5Contactless validation and ticketing5.6Automatic passenger counting5.7Timetable planning with GTFS data5.8Metropolitan fare integration5.9Regularity and punctuality indicators5.10Practical exercise: regularity analysis with GTFS-RT data
6.1MaaS integration levels6.2Integrated booking and payment platforms6.3Open APIs of mobility operators6.4GTFS, GBFS and NeTEx standards6.5Business models and revenue sharing6.6Public–private governance of MaaS6.7Traveller privacy and data protection6.8Impact assessment on modal split6.9Leading European experiences6.10Workshop: functional design of a MaaS app
7.1Bike sharing: system design7.2E-scooters and municipal regulation7.3Car sharing and moped sharing7.4Rebalancing shared fleets7.5Geofences and parking management7.6The MDS specification for operator data7.7Road safety of personal mobility vehicles7.8Tendering operating licences7.9Usage and turnover indicators7.10Case study: e-scooter regulation in a city
8.1Fusion of heterogeneous sensor data8.2Floating vehicle data and GPS traces8.3Map matching and route reconstruction8.4Incident detection with machine learning8.5Short-term traffic prediction8.6Geospatial visualisation of flows8.7Big data architectures for mobility8.8Data quality and governance8.9Anonymisation of location data8.10Lab: flow prediction with time series
9.1SAE J3016 levels of automation9.2Operational design domain in the city9.3Digital infrastructure supporting driving9.4Autonomous shuttles and urban pilots9.5Teleoperation and remote supervision9.6Interaction with pedestrians and cyclists9.7Regulatory framework for testing on public roads9.8Impacts on urban space and parking9.9Social acceptance and risk perception9.10Case study: autonomous shuttle pilot
10.1Threats in connected transport systems10.2The European C-ITS PKI and certificate policy10.3Security of traffic signal controllers10.4Network segmentation in control centres10.5The NIS2 Directive applied to transport10.6Privacy in V2X data and pseudonyms10.7Cybersecurity incident management10.8Penetration testing in ITS10.9Resilience to communication failures10.10Workshop: risk analysis of a V2X network
11.1Cost–benefit analysis of ITS projects11.2Ex ante and ex post evaluation11.3Safety, efficiency and emissions indicators11.4Public procurement of ITS systems11.5Integration into sustainable mobility plans11.6Management of urban technology projects11.7Scaling pilots to full deployment11.8Maintenance and technological obsolescence11.9European funding: CEF and Horizon Europe11.10Case study: evaluation of a V2X corridor
12.1Selection of the mobility problem12.2Data collection and processing12.3Design of the ITS or V2X solution12.4Modelling and simulation of scenarios12.5Cost and benefit analysis12.6Phased deployment plan12.7Risk and cybersecurity assessment12.8Conclusions and future work12.9Master's Thesis report12.10Master's Thesis: defence before a panel
How you'll learn
The programme is delivered 100% online on the SEIUM campus, with downloadable materials, recorded classes and an assigned technical tutor. There are no fixed timetables: you progress at your own pace within each intake, so the programme fits around your job.
Each module combines theory, guided reading of the original standards and applied exercises. The working software is PTV Visum, PTV Vissim, SUMO, Python (pandas, scikit-learn) and Wireshark, in free, academic or evaluation versions. Practical work is based on real procedures: simulation of corridors with connected vehicles, analysis of GPS traces and operator data, and bench testing of V2X messages. Assessment is continuous, module by module, plus the final Master's Thesis.
Standards covered: Directive 2010/40/EU (ITS) as amended by Directive (EU) 2023/2661, ETSI EN 302 637-2 (CAM), ETSI EN 302 637-3 (DENM), SAE J3016, ETSI TS 103 097, ISO 14813-1, Delegated Regulation (EU) 2017/1926.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Where this takes you
Requirements
- University degree in engineering, science or architecture, or equivalent demonstrable professional experience.
- Internet connection and a computer capable of running the programme's software.
- English sufficient to read technical standards.
Ready to start?
Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.
Frequently asked questions
The programme totals 1,900 hours over 12–14 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.
You work with PTV Visum, PTV Vissim, SUMO, Python (pandas, scikit-learn) and Wireshark, using free, academic or evaluation versions. Your tutor indicates the free alternative wherever one exists.
A SEIUM Institute diploma, awarded on passing the continuous assessment and the Master's Thesis. It is SEIUM's own qualification, not an official state degree; its recognition depends on the programme completed and the regulations of each country.
Yes. Modules passed in a course or postgraduate diploma in the same area are recognised in the higher programme. Ask about the recognition policy when you enrol.
A university degree in engineering, science or architecture (or equivalent professional experience), a computer able to run the software and English sufficient to read technical standards.
Start dates are set by SEIUM's faculty for each intake. Our admissions team will confirm the next available date when you apply.
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