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.
Diploma in Mobility Policy and KPI Evaluation — studying from Australia
Data, artificial intelligence and simulation are central to Australian industries including mining, banking, health, agriculture and government. Organisations use machine learning, digital twins and advanced analytics to improve productivity, asset performance and decision making. National science agency CSIRO, along with universities and a growing start-up ecosystem, drives research and applied innovation. Australia has also developed national AI ethics principles, making responsible design an important professional consideration. Engineers in this area typically work for technology firms, consultancies, research organisations and large enterprises.
Fees for Australia: A$1,740 (AUD), with instalments and employer sponsorship available.
Relevant bodies in Australia
Typical roles
Questions from Australia
Which Australian bodies recognise data and AI engineering skills?
Engineers Australia and the Australian Computer Society (ACS) are the main professional bodies, and the ACS runs a skills assessment for migration purposes. SEIUM's private qualifications are not accredited by either. Whether a private qualification is valued is decided by the employer or the relevant body.
What data and AI careers exist in Australia for this training?
Australia has demand for data scientists, AI engineers and simulation analysts across finance, health, mining, government and technology firms. Employers mainly assess your portfolio, technical skills and results. A SEIUM qualification may support your profile, but each employer decides its relevance.
Can I study this online from Australia while working?
Yes, the programmes are fully online and taught in English, and no student visa is needed to study from home. Specialist courses are 300 hours, postgraduate diplomas 800 and master's 1,900, with an assigned technical tutor and a final project. Fees can be paid in instalments, and employer sponsorship may be possible.
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
Analyse the design of mobility policies using the theory of change.
Build standards-based mobility indicator systems.
Integrate mobility data sources using quality criteria.
Estimate the impact of policies with quasi-experimental methods.
Carry out economic and social appraisals of mobility measures.
Design dashboards for policy monitoring.
Draw lessons from international evaluation cases.
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.
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
8 modules
1.1Objectives of mobility policies1.2Sustainable urban mobility plans1.3The European urban mobility framework1.4Ley 7/2021 and low-emission zones1.5Stakeholders and governance1.6The public policy cycle1.7Theory of change1.8Ex-ante and ex-post evaluation1.9Public participation in evaluation1.10Workshop: theory of change for a mobility plan
2.1Indicators of ISO 37120 and ISO 371222.2EU sustainable urban mobility indicators2.3Modal split indicators2.4Accessibility and travel times2.5Road safety and accident indicators2.6Emissions and air quality2.7Service quality according to EN 138162.8Equity indicators2.9Designing indicator dashboards2.10Practical: KPI set for a medium-sized city
3.1Mobility surveys3.2Traffic counts and sensors3.3Public transport ticket validation data3.4Mobile phone data3.5GTFS and operator data3.6Shared micromobility data3.7Open data and portals3.8Quality and bias of data sources3.9Personal data protection3.10Lab: accessibility indicators with GTFS data
4.1Before-after designs with control4.2Difference-in-differences with control groups4.3Synthetic control for cities4.4Spatial regression discontinuity4.5Interrupted time series4.6Demand models for counterfactuals4.7Attribution of effects to measures4.8Robustness and sensitivity analysis4.9Limitations of the methods4.10Lab: synthetic control of a low-emission zone
5.1Cost-benefit analysis in transport5.2Value of time and value of a statistical life5.3Externalities and environmental costs5.4The European guide to cost-benefit analysis5.5Multi-criteria analysis of alternatives5.6Distributional impacts by social group5.7Road safety appraisal5.8Health and active mobility5.9Presentation to decision-makers5.10Practical: cost-benefit analysis of a cycle lane
6.1Policy monitoring plan6.2Frequency and ownership of indicators6.3Dashboards with Power BI6.4Indicator maps6.5Targets and alert thresholds6.6Periodic monitoring reports6.7Transparency and open data6.8Mid-term evaluation of the plan6.9Adjusting measures6.10Case study: dashboard for a sustainable urban mobility plan (SUMP)
7.1Congestion charging in London and Stockholm7.2Superblocks and tactical urbanism7.3Free and discounted public transport7.4Mobility as a service7.5Autonomous vehicles in urban policy7.6Fleet electrification7.7ISO 39001 road traffic safety management systems7.8Mobility and gender7.9Lessons from international evaluations7.10Case study: evaluation of a public transport fare discount programme
8.1Selection of the policy to be evaluated8.2Reconstruction of the theory of change8.3Indicator system8.4Data collection8.5Impact estimation8.6Economic and social appraisal8.7Monitoring dashboard8.8Policy recommendations8.9Report 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. 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).
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 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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