Diploma in Digital As-Built and Infrastructure Twin
Online postgraduate diploma of 800 hours in digital as-built and infrastructure digital twins. 8 modules covering the move from design model to as-built, reality capture, point cloud modelling, infrastructure digital twins, sensors and IoT, predictive maintenance and asset management, with UNE-EN ISO 19650-3, UNE-EN ISO 16739-1 and ISO 55001, with an assigned technical tutor.
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.
What you will be able to do
Define the requirements of an as-built model that is useful for operations.
Plan and carry out reality capture campaigns.
Model existing infrastructure from point clouds.
Design the architecture of an infrastructure digital twin.
Integrate IoT sensor data into the twin.
Apply analytics to predictive maintenance.
Draw up an asset digitalisation roadmap.
Who it's for
- Reality capture technicians.
- Scan-to-BIM modellers.
- Digital twin engineers.
- Infrastructure asset managers.
- Monitoring data analysts.
- Heads of digitalisation in infrastructure operators.
- Engineering or science graduates looking to move into transport infrastructure.
What you'll work with
- UNE-EN ISO 19650-3 (operational phase of the assets)
- UNE-EN ISO 16739-1 (Industry Foundation Classes)
- ISO 55001:2014 (asset management)
- ISO/IEC 30173:2023 (digital twin: concepts and terminology)
- OGC CityGML 3.0 (3D city models)
- UNE-EN ISO 19650-1 (concepts and principles)
- ISO/IEC 20922 (MQTT)
- IEC 62541 (OPC Unified Architecture)
- Autodesk ReCap
- Leica Cyclone
- Bentley iTwin
- Azure Digital Twins
- Grafana
8 modules
1.1Differences between the design model and the as-built model1.2Recording changes on site1.3Who is responsible for the as-built1.4Tolerances and required accuracy1.5Information on installed equipment1.6Asset manager requirements1.7Deliverables according to ISO 19650-31.8Validation of the final information1.9Common errors in handover1.10Case study: as-built of a railway station
2.1Terrestrial laser scanning2.2Mobile scanning and SLAM2.3Drone photogrammetry2.4Airborne LiDAR for linear corridors2.5Georeferencing and survey control2.6Point cloud registration and cleaning2.7Capture accuracy and density2.8Capture in tunnels and linear infrastructure2.9Survey campaign planning2.10Lab: point cloud registration with survey control
3.1Scan-to-BIM: the workflow3.2Point cloud segmentation and classification3.3Modelling existing structures3.4Modelling building services3.5Automatic element recognition3.6Deviation analysis3.7LOA accuracy levels3.8Model quality control3.9Delivery in IFC3.10Practical: as-built model of an underpass
4.1Digital twin concept and levels4.2Reference architecture4.3Model, data and behaviour4.4IFC 4.3 and CityGML interoperability4.5Digital twin platforms4.6Twins of rail and road networks4.7Twins of bridges and tunnels4.8Twin governance4.9Return on investment4.10Case study: digital twin of a bridge
5.1Structural and environmental sensors5.2LoRaWAN and 5G communication networks5.3Gateways and edge computing5.4MQTT and OPC UA protocols5.5Time-series storage5.6Data quality and validation5.7Real-time visualisation5.8Alarms and thresholds5.9IoT cybersecurity5.10Workshop: integrating sensors into a model
6.1Descriptive and diagnostic analytics6.2Degradation models6.3Machine learning for anomaly detection6.4Calibrated physical models6.5Condition-based maintenance6.6Scenario simulation6.7Prioritisation of interventions6.8Integration with EAM6.9Performance indicators6.10Practical: anomaly detection in monitoring data
7.1The owner's information strategy7.2Asset information requirements (AIR)7.3Integration with ISO 550007.4Change management in the organisation7.5Maintenance contracts with a digital twin7.6Open data and smart cities7.7Digitalisation roadmap7.8International reference cases7.9Technological risks and dependencies7.10Case study: roadmap for a road network
8.1Asset selection8.2Information requirements8.3Reality capture8.4As-built model of the infrastructure8.5Twin architecture8.6Sensor data integration8.7Analytical use cases8.8Implementation plan8.9Report and presentation8.10Final project: final review with the tutor
How you'll learn
100% online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. No fixed timetables: you progress at your own pace within the intake, making it compatible with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is Autodesk ReCap, Leica Cyclone, Bentley iTwin, Azure Digital Twins and Grafana, in free, academic or evaluation versions. Real procedures are studied: as-built modelling of an underpass from a point cloud, integration of monitoring sensors into a bridge model, and anomaly detection in deformation time series. Assessment is continuous by module, plus the final capstone project.
Standards covered: UNE-EN ISO 19650-3, UNE-EN ISO 16739-1, ISO 55001:2014, ISO/IEC 30173:2023, OGC CityGML 3.0, UNE-EN ISO 19650-1, ISO/IEC 20922 and IEC 62541.
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
- Prior technical training or professional experience in the sector. No university degree is required.
- An internet connection and a computer capable of running the programme 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 800 hours over 6–8 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.
You work with Autodesk ReCap, Leica Cyclone, Bentley iTwin, Azure Digital Twins and Grafana, 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 final project. 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 are recognised in a higher programme in the same area (postgraduate diploma or master's). Ask about the recognition policy when you enrol.
Prior technical training or professional experience in the sector (no university degree required), 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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