Apply now
CourseCivil, Rail & Smart Cities Applications open

Course in Smart Resilience and Digital Twins for Cities

Online 300-hour course in Smart Resilience and Digital Twins for Cities. 6 modules covering OGC CityGML 3.0, ISO 16739 Industry Foundation Classes (IFC) and FIWARE. Personal tutor assigned and enrolment open.

Duration300 h
ModeOnline
Start datesSet by the faculty
AwardSEIUM Institute certificate
Enrol now View syllabus Ask an advisor
Virtual lab · try it before you enrol

Take the controls.

Run a real engineering trade-off from this field. Move the sliders, watch the model react in real time and beat the challenge.

SIM · LIVE ●
Learning outcomes

What you will be able to do

01

Understand the concepts and architectures of the urban digital twin.

02

Build semantic 3D models with CityGML and IFC.

03

Integrate real-time IoT data using open standards.

04

Couple risk simulations to the digital twin.

05

Design decision-support tools for emergencies.

06

Define the governance and value model of the twin.

07

Plan the deployment of a digital twin focused on resilience.

Profile

Who it's for

  • Urban digital twin engineer who wants to specialise in Smart Resilience and Digital Twins for Cities.
  • Smart city data architect who wants to specialise in Smart Resilience and Digital Twins for Cities.
  • BIM-GIS specialist who wants to specialise in Smart Resilience and Digital Twins for Cities.
  • Urban simulation analyst who wants to specialise in Smart Resilience and Digital Twins for Cities.
  • Urban operations centre manager who wants to specialise in Smart Resilience and Digital Twins for Cities.
  • Municipal digital transformation consultant who wants to specialise in Smart Resilience and Digital Twins for Cities.
  • Graduates in engineering or science looking to enter the smart cities sector.
Standards & tools

What you'll work with

  • OGC CityGML 3.0
  • ISO 16739 Industry Foundation Classes (IFC)
  • OGC SensorThings API
  • ETSI GS CIM 009 NGSI-LD API
  • ISO 37106 Guide to establishing smart city operating models
  • UNE 178104 Smart cities: integrated smart city management systems
  • ISO 19650 Organisation of information in BIM
  • Regulation (EU) 2022/868 on European data governance
Syllabus

6 modules · 300 h

  1. 1.1From the smart city to the resilient city
  2. 1.2Digital twin: definition and maturity levels
  3. 1.3Model, digital shadow and bidirectional twin
  4. 1.4Reference architectures for urban twins
  5. 1.5Case studies: Virtual Singapore, Helsinki, Zaragoza
  6. 1.6Twins for risks and emergencies
  7. 1.7Urban data ecosystem
  8. 1.8Open and OGC standards
  9. 1.9Governance challenges of the twin
  10. 1.10Practical case: maturity of a city's digital twin
  1. 2.1CityGML 3.0 and levels of detail
  2. 2.2BIM and the IFC standard in infrastructure
  3. 2.3Integration of BIM and GIS models
  4. 2.43D models from LiDAR and photogrammetry
  5. 2.53D cadastre and open data
  6. 2.6Utility networks in the twin
  7. 2.7Urban ontologies and linked data
  8. 2.83D tiles and web visualisation
  9. 2.9Model quality and updating
  10. 2.10Laboratory: CityGML model of a neighbourhood with FME
  1. 3.1NGSI-LD context platforms and FIWARE
  2. 3.2Urban sensors and MQTT protocols
  3. 3.3Streaming ingestion and processing
  4. 3.4OGC SensorThings API standard
  5. 3.5Integration of utility SCADA systems
  6. 3.6Mobility and telephony data
  7. 3.7Time-series databases
  8. 3.8Real-time data quality
  9. 3.9Security and privacy of data flows
  10. 3.10Practical: sensor ingestion into a FIWARE platform
  1. 4.1Coupling flood models
  2. 4.2Urban heat and microclimate simulation
  3. 4.3Traffic and evacuation simulation
  4. 4.4Cascading failures across networks
  5. 4.5What-if scenarios for decision-making
  6. 4.6Machine learning and surrogate models
  7. 4.7Near-real-time forecasting
  8. 4.8Validating simulations with events
  9. 4.9Scenario visualisation for decision-makers
  10. 4.10Workshop: flood scenario in a 3D twin
  1. 5.1Operations centres with a digital twin
  2. 5.2Decision support in emergencies
  3. 5.3Asset management and predictive maintenance
  4. 5.4Data governance model and data ownership
  5. 5.5Interoperability with European data spaces
  6. 5.6Ethics, privacy and surveillance
  7. 5.7Costs, funding and business models
  8. 5.8Value indicators for the digital twin
  9. 5.9Phased deployment roadmap
  10. 5.10Practical case: business case for a municipal twin
  1. 6.1Defining the resilience use case
  2. 6.2Selecting the urban area
  3. 6.33D model and baseline data
  4. 6.4Real-time data integration
  5. 6.5Coupled simulation model
  6. 6.6Visualisation and decision interface
  7. 6.7Twin governance plan
  8. 6.8Value assessment and scaling
  9. 6.9Report and presentation
  10. 6.10Final review with the tutor
Methodology, software & labs

How you'll learn

100% online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. There are no fixed timetables: students progress at their own pace within the intake, which makes it possible to combine the course with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is FIWARE, CesiumJS, FME, QGIS, Unreal Engine, in free, academic or evaluation versions. Practicals cover real procedures: building a CityGML model of a neighbourhood, integrating real-time sensors into an urban platform, and simulating a flood scenario in a 3D twin. Assessment is continuous per module, plus the final integrating project.

Accreditable laboratories(EN ISO/IEC 17025) with a rotor test rig, EMC/Lightning pre-compliance, HIL/SIL, vibration/acoustics.
Evidence-driven master's thesis:safety case, test plan, compliance dossier and operational limits.
Industry mentoring:teaching staff with a track record in training, , eVTOL/UAM and flight test.
Flexible format(hybrid/online), international cohorts and support from SEIUM Career Services.
Ethics and safety:a safety-by-design approach, with cyber-OT, DIH and compliance as core pillars.
Capstone project

Build it end to end

Your final project follows the real engineering workflow, step by step, reviewed by your tutor.

Defining the resilience use case

Understand the concepts and architectures of the urban digital twin.

Selecting the urban area

Build semantic 3D models with CityGML and IFC.

3D model and baseline data

Integrate real-time IoT data using open standards.

Real-time data integration

Couple risk simulations to the digital twin.

Coupled simulation model

Design decision-support tools for emergencies.

Career opportunities

Where this takes you

Urban digital twin engineerSmart city data architectBIM-GIS specialistUrban simulation analystUrban operations centre managerMunicipal digital transformation consultant
Admissions & scholarships

Requirements

  • No prior degree is required.
  • Internet connection and a computer capable of running the programme's software.
  • Sufficient command of Spanish to follow technical standards documentation.

Ready to start?

Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.

Apply now Scholarships
FAQ

Frequently asked questions

The programme totals 300 hours, spread over 3 to 5 months. That is an average of 10 to 15 hours per week, compatible with a full-time job.

The course uses FIWARE, CesiumJS, FME, QGIS and Unreal Engine. Free, academic or evaluation versions are used, and the tutor indicates the free alternative wherever one exists.

A SEIUM Institute diploma on passing the continuous assessment and the integrating project. This is in-house training, not an official qualification from the Ministry.

Yes. Modules passed in a course or postgraduate diploma in the same area can be credited towards the advanced programme. Check the credit recognition policy when you enrol.

Keep exploring

Related programmes

See all in Civil, Rail & Smart Cities
Course720 $

CityGML and 3D City Modeling Course

Online course of 300 hours in CityGML and 3D city modelling, structured in 6 modules covering 3D urban geospatial information, the CityGML conceptual model, extensions and…

3 monthsOnlineCivil, Rail & Smart Cities
Course720 $

CBTC Course in Automatic Subways

Online course of 300 hours in CBTC for automated metros, structured in 6 modules covering CBTC fundamentals, system components, automatic train protection and operation, safety and…

3 monthsOnlineCivil, Rail & Smart Cities
Course830 $

Course on Risk Analysis in Underground Works

Online course of 300 hours in risk analysis in underground works. 6 modules covering risk in underground works, risk identification and registers, qualitative and quantitative assessment,…

300 hours · 3 monthsOnlineCivil, Rail & Smart Cities
Course in Smart Resilience and Digital Twins for CitiesEnrol
Related programmes

More in Civil, Rail & Smart Cities

BIM Modeling Course in Railway InfrastructureView programme →AI-powered Predictive Mobility Modeling CourseView programme →Course on Urban Heating and Cooling NetworksView programme →Course in Crisis Communication in CitiesView programme →Rolling Stock Course: Maintenance and OperationView programme →Course in Urban Air Quality RegulationsView programme →

All Civil, Rail & Smart Cities programmes → · How to apply · Fees & financing · Scholarships

Scroll to Top
SEIUM – Institute of Advanced Engineering
Powered by  GDPR Cookie Compliance
Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.