Urban Resilience KPIs Course
Online 300 h course in KPIs in Urban Resilience. 6 modules covering ISO 37123 Sustainable cities and communities: indicators for resilient cities, ISO 37120 Indicators for city services and quality of life, and Power BI. Tutor assigned and enrolment open.
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What you will be able to do
Understand the main frameworks for measuring urban resilience.
Design quality indicators using methodological fact sheets.
Build composite indices using weighting and aggregation techniques.
Calculate ISO 37123 indicators from real data.
Develop dashboards that support decision-making.
Evaluate resilience strategies through systematic monitoring.
Communicate indicator results to decision-makers and citizens.
Who it's for
- Urban data analyst looking to specialise in KPIs in Urban Resilience.
- Strategic planning technician looking to specialise in KPIs in Urban Resilience.
- Municipal resilience manager looking to specialise in KPIs in Urban Resilience.
- Sustainability indicators consultant looking to specialise in KPIs in Urban Resilience.
- Urban observatory manager looking to specialise in KPIs in Urban Resilience.
- Public policy evaluation technician looking to specialise in KPIs in Urban Resilience.
- Graduates in engineering or science looking to enter local government.
What you'll work with
- ISO 37123 Sustainable cities and communities: indicators for resilient cities
- ISO 37120 Indicators for city services and quality of life
- Sendai Framework for Disaster Risk Reduction 2015-2030
- ISO 37122 Indicators for smart cities
- UNE 178201 Smart cities: definition, attributes and requirements
- ISO 22316 Organisational resilience: principles and attributes
- ISO 37101 Sustainable development in communities: management system
6 modules · 300 h
1.1Why measure a city's resilience1.2Indicators, indices and dashboards1.3Static and dynamic resilience1.4Dimensions: physical, social, economic, institutional1.5Arup's City Resilience Index framework1.6UNDRR resilience scorecard1.7ISO 37123 indicators for resilient cities1.8Open data and official statistical sources1.9Common errors in selecting indicators1.10Case study: comparison of two indicator frameworks
2.1SMART and RACER quality criteria2.2Input, process, output and impact indicators2.3Baseline and quantified targets2.4Indicator methodological sheets2.5Normalisation and measurement scales2.6Weighting with AHP and expert panels2.7Aggregation into composite indices2.8Sensitivity and uncertainty analysis2.9Indicators disaggregated by gender and neighbourhood2.10Workshop: indicator sheets for an urban service
3.1Recovery time of essential services3.2Redundancy of water and energy networks3.3Access to facilities during crises3.4Population exposed to natural hazards3.5Coverage of alerts and drills3.6Social indicators of cohesion and vulnerability3.7Economic and fiscal indicators3.8Governance and planning indicators3.9ISO 37120 urban services indicators3.10Practice: calculating indicators with municipal open data
4.1Data architecture for dashboards4.2Integration of heterogeneous sources4.3Visual design of executive panels4.4Indicator maps and traffic lights4.5Automatic updating and APIs4.6Real-time urban data platforms4.7Indicators for operational decision-making4.8Data storytelling for policymakers4.9Accessibility and open publication4.10Lab: resilience dashboard in Power BI
5.1Monitoring plans and frequency5.2Evaluation of resilience strategies5.3Benchmarking across cities5.4WCCD certification based on ISO 371205.5Reporting on Sendai Framework targets5.6Linking with the SDGs and the Urban Agenda5.7Results-based management in public administration5.8Data quality audit5.9Review and improvement of the indicator system5.10Case study: annual resilience report for a city
6.1Selection of the city and its context6.2Review of reference frameworks6.3Definition of the indicator system6.4Complete methodological sheets6.5Data collection and calculation6.6Dashboard prototype6.7Interpretation of results6.8Data-driven improvement proposals6.9Report and presentation6.10Final 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: 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 Power BI, Tableau, QGIS, R, Python, in free, academic or evaluation versions. The practical work is based on real procedures for designing a municipal resilience indicator system, calculating ISO 37123 indicators with open data, and developing an executive dashboard. Assessment is continuous per module plus the final integrating project.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Understand the main frameworks for measuring urban resilience.
Design quality indicators using methodological sheets.
Build composite indices using weighting and aggregation techniques.
Calculate ISO 37123 indicators from real data.
Develop dashboards that support decision-making.
Where this takes you
Requirements
- No prior degree is required.
- Internet connection and a computer capable of running the programme's software.
- Sufficient level of 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.
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 Power BI, Tableau, QGIS, R, Python. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.
An own SEIUM 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 towards the advanced programme. Check the recognition policy when enrolling.
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