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Postgraduate DiplomaData, AI, Simulation & Analytics Applications open

Diploma in Mobility Policy and KPI Evaluation

Online postgraduate diploma of 800 hours in mobility policy evaluation and KPIs: 8 modules covering public mobility policy, indicator systems under ISO 37120 and ISO 37122, data sources, impact evaluation methods, economic and social appraisal, monitoring dashboards and international cases, with an assigned technical tutor.

Duration6–8 months
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma
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Learning outcomes

What you will be able to do

01

Analyse the design of mobility policies using the theory of change.

02

Build standards-based mobility indicator systems.

03

Integrate mobility data sources using quality criteria.

04

Estimate the impact of policies with quasi-experimental methods.

05

Carry out economic and social appraisals of mobility measures.

06

Design dashboards for policy monitoring.

07

Draw lessons from international evaluation cases.

Profile

Who it's for

  • Mobility planning officers designing and reviewing urban mobility plans.
  • Public policy analysts who need robust evidence of what works.
  • Evaluation consultants assessing transport programmes for public clients.
  • Transport data analysts building indicators from surveys, GTFS and sensor data.
  • Managers of sustainable urban mobility plans responsible for monitoring.
  • Transport economists carrying out cost-benefit and distributional analysis.
  • Engineering or science graduates looking to move into the public sector.
Standards & tools

What you'll work with

  • ISO 37120:2018 (indicators for city services and quality of life)
  • ISO 37122:2019 (indicators for smart cities)
  • Ley 7/2021 de cambio climático y transición energética (Spanish Climate Change and Energy Transition Act)
  • EN 13816:2002 (quality of service in public passenger transport)
  • ISO 39001:2012 (road traffic safety management systems)
  • Directive 2010/40/EU (ITS) (framework for intelligent transport systems)
  • Delegated Regulation (EU) 2017/1926 (EU-wide multimodal travel information services)
  • Regulation (EU) 2016/679 (GDPR) (General Data Protection Regulation)
  • R
  • Power BI
  • QGIS
  • Python pandas
  • r5py
Syllabus

8 modules

  1. 1.1Objectives of mobility policies
  2. 1.2Sustainable urban mobility plans
  3. 1.3The European urban mobility framework
  4. 1.4Ley 7/2021 and low-emission zones
  5. 1.5Stakeholders and governance
  6. 1.6The public policy cycle
  7. 1.7Theory of change
  8. 1.8Ex-ante and ex-post evaluation
  9. 1.9Public participation in evaluation
  10. 1.10Workshop: theory of change for a mobility plan
  1. 2.1Indicators of ISO 37120 and ISO 37122
  2. 2.2EU sustainable urban mobility indicators
  3. 2.3Modal split indicators
  4. 2.4Accessibility and travel times
  5. 2.5Road safety and accident indicators
  6. 2.6Emissions and air quality
  7. 2.7Service quality according to EN 13816
  8. 2.8Equity indicators
  9. 2.9Designing indicator dashboards
  10. 2.10Practical: KPI set for a medium-sized city
  1. 3.1Mobility surveys
  2. 3.2Traffic counts and sensors
  3. 3.3Public transport ticket validation data
  4. 3.4Mobile phone data
  5. 3.5GTFS and operator data
  6. 3.6Shared micromobility data
  7. 3.7Open data and portals
  8. 3.8Quality and bias of data sources
  9. 3.9Personal data protection
  10. 3.10Lab: accessibility indicators with GTFS data
  1. 4.1Before-after designs with control
  2. 4.2Difference-in-differences with control groups
  3. 4.3Synthetic control for cities
  4. 4.4Spatial regression discontinuity
  5. 4.5Interrupted time series
  6. 4.6Demand models for counterfactuals
  7. 4.7Attribution of effects to measures
  8. 4.8Robustness and sensitivity analysis
  9. 4.9Limitations of the methods
  10. 4.10Lab: synthetic control of a low-emission zone
  1. 5.1Cost-benefit analysis in transport
  2. 5.2Value of time and value of a statistical life
  3. 5.3Externalities and environmental costs
  4. 5.4The European guide to cost-benefit analysis
  5. 5.5Multi-criteria analysis of alternatives
  6. 5.6Distributional impacts by social group
  7. 5.7Road safety appraisal
  8. 5.8Health and active mobility
  9. 5.9Presentation to decision-makers
  10. 5.10Practical: cost-benefit analysis of a cycle lane
  1. 6.1Policy monitoring plan
  2. 6.2Frequency and ownership of indicators
  3. 6.3Dashboards with Power BI
  4. 6.4Indicator maps
  5. 6.5Targets and alert thresholds
  6. 6.6Periodic monitoring reports
  7. 6.7Transparency and open data
  8. 6.8Mid-term evaluation of the plan
  9. 6.9Adjusting measures
  10. 6.10Case study: dashboard for a sustainable urban mobility plan (SUMP)
  1. 7.1Congestion charging in London and Stockholm
  2. 7.2Superblocks and tactical urbanism
  3. 7.3Free and discounted public transport
  4. 7.4Mobility as a service
  5. 7.5Autonomous vehicles in urban policy
  6. 7.6Fleet electrification
  7. 7.7ISO 39001 road traffic safety management systems
  8. 7.8Mobility and gender
  9. 7.9Lessons from international evaluations
  10. 7.10Case study: evaluation of a public transport fare discount programme
  1. 8.1Selection of the policy to be evaluated
  2. 8.2Reconstruction of the theory of change
  3. 8.3Indicator system
  4. 8.4Data collection
  5. 8.5Impact estimation
  6. 8.6Economic and social appraisal
  7. 8.7Monitoring dashboard
  8. 8.8Policy recommendations
  9. 8.9Report and presentation
  10. 8.10Final project: final 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: you progress at your own pace within the intake, so you can combine it with your job.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is R, Power BI, QGIS, Python pandas and r5py, in free, academic or evaluation versions. Practical work is based on real procedures for evaluating the impact of low-emission zones, building dashboards for mobility plans and cost-benefit analysis of cycling infrastructure. Assessment is continuous by module, plus the final project.

Standards covered: ISO 37120:2018, ISO 37122:2019, Ley 7/2021 de cambio climático y transición energética, EN 13816:2002, ISO 39001:2012, Directive 2010/40/EU (ITS), Delegated Regulation (EU) 2017/1926, Regulation (EU) 2016/679 (GDPR).

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of ISO 37120, ISO 37122 and Ley 7/2021 applied to real cases, not as a theoretical annex.
Industry software:R, Power BI, QGIS, Python pandas and r5py, in free, academic or evaluation versions.
Final project:a full evaluation of a real mobility policy, from theory of change and indicators to impact estimation and a monitoring dashboard, reviewed by your tutor.
Flexible format:100% online, no fixed timetables, compatible with full-time work.
Capstone project

Build it end to end

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

Policy and theory of change
Select the policy to evaluate and reconstruct its theory of change.
Indicators and data
Define the indicator system and collect the data.
Impact estimation
Estimate the impact of the policy with quasi-experimental methods.
Appraisal and dashboard
Carry out the economic and social appraisal and build the monitoring dashboard.
Final project
Present policy recommendations in a report and presentation, reviewed by your tutor.
Career opportunities

Where this takes you

Mobility planning officerPublic policy analystEvaluation consultantTransport data analystSustainable urban mobility plan managerTransport economist
Admissions & scholarships

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.

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FAQ

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 R, Power BI, QGIS, Python pandas and r5py, 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 programme 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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