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CourseCivil, Rail & Smart Cities Applications open

Course in Technological Innovation in Urban Resilience

Online 300-hour course in Technological Innovation in Urban Resilience. 6 modules covering Regulation (EU) 2024/1689 on Artificial Intelligence, Regulation (EU) 2016/679 General Data Protection Regulation and Copernicus EMS. Assigned tutor and open enrolment.

Duration300 h
ModeOnline
Start datesSet by the faculty
AwardSEIUM Institute certificate
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Learning outcomes

What you will be able to do

01

Understand the innovation ecosystem applied to urban resilience.

02

Use Earth observation data in risk management.

03

Apply artificial intelligence techniques to damage assessment.

04

Design urban platform architectures for emergencies.

05

Evaluate technologies using criteria of cost, impact and ethics.

06

Plan pilots and their scaling within public administration.

07

Develop an innovation roadmap for resilience.

Profile

Who it's for

  • Urban innovation manager who wants to specialise in Technological Innovation in Urban Resilience.
  • Data engineer for emergencies who wants to specialise in Technological Innovation in Urban Resilience.
  • Remote sensing specialist who wants to specialise in Technological Innovation in Urban Resilience.
  • Govtech consultant who wants to specialise in Technological Innovation in Urban Resilience.
  • European project manager who wants to specialise in Technological Innovation in Urban Resilience.
  • Applied artificial intelligence analyst who wants to specialise in Technological Innovation in Urban Resilience.
  • Graduates in engineering or sciences seeking to enter smart cities.
Standards & tools

What you'll work with

  • Regulation (EU) 2024/1689 on Artificial Intelligence
  • Regulation (EU) 2016/679 General Data Protection Regulation
  • Law 9/2017 on Public Sector Contracts (public procurement of innovation)
  • Royal Decree 1036/2017 on the civil use of remotely piloted aircraft
  • Implementing Regulation (EU) 2019/947 on UAS operations
  • ISO 37122 Indicators for smart cities
  • UNE 178104 Smart cities: integrated smart city management systems
Syllabus

6 modules · 300 h

  1. 1.1Innovation cycle and TRL levels
  2. 1.2Emerging technologies for risk management
  3. 1.3Public procurement of innovation
  4. 1.4Urban living labs and testbeds
  5. 1.5Horizon European projects and the Cities Mission
  6. 1.6Resilience startups and govtech
  7. 1.7University-city technology transfer
  8. 1.8Barriers to adoption in public administration
  9. 1.9Technology maturity assessment
  10. 1.10Case study: solutions map for a city
  1. 2.1Copernicus programme and emergency service
  2. 2.2Synthetic aperture radar and InSAR interferometry
  3. 2.3High-resolution optical imagery
  4. 2.4Drones for inspection and damage assessment
  5. 2.5Urban sensor IoT networks
  6. 2.6Low-cost sensors and citizen science
  7. 2.7Mobile LiDAR and geometric digital twins
  8. 2.8Multisensor data fusion
  9. 2.9Data quality and calibration
  10. 2.10Laboratory: detecting land subsidence with InSAR data
  1. 3.1Machine learning for event prediction
  2. 3.2Computer vision for damage assessment
  3. 3.3Natural language processing on social media
  4. 3.4Demand prediction models in crises
  5. 3.5Optimisation of emergency resources
  6. 3.6Generative AI in emergency planning
  7. 3.7Bias and model explainability
  8. 3.8European Artificial Intelligence Regulation
  9. 3.9Cloud and edge deployment
  10. 3.10Practical: classifying damage in images with Python
  1. 4.1Urban data platforms and FIWARE
  2. 4.2Digital twins for risk scenarios
  3. 4.3Critical 5G and LTE communications
  4. 4.4Broadband satellite constellations
  5. 4.5Interoperability and open standards
  6. 4.6Blockchain in aid and traceability
  7. 4.7Robotics in search and rescue
  8. 4.8Virtual reality for training
  9. 4.9Cybersecurity of new technologies
  10. 4.10Workshop: architecture of a resilience platform
  1. 5.1Cost-benefit evaluation of technologies
  2. 5.2Pilots and scaling of solutions
  3. 5.3Change management in public organisations
  4. 5.4Innovation impact indicators
  5. 5.5Ethics and privacy in surveillance technologies
  6. 5.6Sustainability and technological obsolescence
  7. 5.7Success stories: Rotterdam, Singapore, Tokyo
  8. 5.8Public-private collaboration models
  9. 5.9Municipal innovation roadmap
  10. 5.10Case study: evaluation of a drone pilot
  1. 6.1Identification of the urban challenge
  2. 6.2Technology watch on the current state
  3. 6.3Selection of the innovative solution
  4. 6.4Pilot design and its metrics
  5. 6.5Technical architecture of the solution
  6. 6.6Analysis of ethical and legal risks
  7. 6.7Scaling and funding plan
  8. 6.8Proposed impact indicators
  9. 6.9Report and presentation
  10. 6.10Final review with the tutor
Methodology, software & labs

How you'll learn

Fully 100 % online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. 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 Copernicus EMS, SNAP (ESA), Google Earth Engine, PyTorch, FIWARE, in free, academic or evaluation versions. Tests are studied using real procedures: a drone pilot for damage assessment, detection of urban land subsidence with InSAR, and design of a data platform for emergencies. Assessment is continuous by module, plus the final integrating project.

Accredited laboratories(EN ISO/IEC 17025) with a rotor rig, EMC/Lightning pre-compliance, HIL/SIL, vibration/acoustics.
Evidence-oriented Master's Thesis:safety case, test plan, compliance dossier and operational limits.
Industry mentoring:lecturers with experience in training, , eVTOL/UAM and flight test.
Flexible mode(hybrid/online), international cohorts and support from SEIUM Career Services.
Ethics and safety:a safety-by-design approach, ciber-OT, DIH and compliance as pillars.
Capstone project

Build it end to end

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

Identifying the urban challenge

Understand the innovation ecosystem applied to urban resilience.

Technology watch on the current state

Use Earth observation data in risk management.

Selection of the innovative solution

Apply artificial intelligence techniques to damage assessment.

Pilot design and its metrics

Design urban platform architectures for emergencies.

Technical architecture of the solution

Evaluate technologies using criteria of cost, impact and ethics.

Career opportunities

Where this takes you

Urban innovation managerData engineer for emergenciesRemote sensing specialistGovtech consultantEuropean project managerApplied artificial intelligence analyst
Admissions & scholarships

Requirements

  • No prior qualification required.
  • Internet connection and a computer capable of running the programme's software.
  • Sufficient Spanish to follow technical regulatory texts.

Ready to start?

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

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FAQ

Frequently asked questions

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

The course uses Copernicus EMS, SNAP (ESA), Google Earth Engine, PyTorch, FIWARE. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.

A SEIUM own diploma upon passing the continuous assessment and the integrating project. It is in-house training, not an official Ministry qualification.

Yes. Modules passed in a course or postgraduate diploma in the same area are recognised in the advanced programme. Check the recognition policy when you enrol.

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