Course in Autonomous Cities and Digital Governance
Online 300-hour course in Autonomous Cities and Digital Governance. 6 modules covering Regulation (EU) 2024/1689 on Artificial Intelligence, Implementing Regulation (EU) 2021/664 on U-space and FIWARE. Dedicated tutor and open enrolment.
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
Understand the cyber-physical systems that underpin the autonomous city.
Analyse autonomous urban services and their levels of automation.
Design digital governance models with human oversight.
Interpret the legal framework applicable to autonomous systems.
Assess technical, ethical and cybersecurity risks.
Plan pilots of autonomous services with evaluation.
Propose governance recommendations for digital cities.
Who it's for
- Urban digital transformation manager who wants to specialise in Autonomous Cities and Digital Governance.
- Smart city solutions architect who wants to specialise in Autonomous Cities and Digital Governance.
- Technology governance consultant who wants to specialise in Autonomous Cities and Digital Governance.
- Municipal innovation manager who wants to specialise in Autonomous Cities and Digital Governance.
- Technology risk analyst who wants to specialise in Autonomous Cities and Digital Governance.
- Autonomous mobility technician who wants to specialise in Autonomous Cities and Digital Governance.
- Engineering or science graduates seeking to enter local government.
What you'll work with
- Regulation (EU) 2024/1689 on Artificial Intelligence
- Implementing Regulation (EU) 2021/664 on U-space
- Regulation (EU) 2019/2144
- Directive (EU) 2022/2555 (NIS2)
- Regulation (EU) 2016/679 (GDPR)
- SAE J3016
- ISO/IEC 30141:2024
- Regulation (EU) 2022/2065 on Digital Services
6 modules · 300 h
1.1Concept of the autonomous city1.2Levels of autonomy in urban services1.3Cyber-physical systems and control loops1.4Urban edge and cloud computing1.55G networks and V2X communications1.6Digital twins and simulation1.7Autonomous agents and decision-making1.8Failures, degradation and safe mode1.9Examples from Songdo, Singapore and Toronto1.10Case study: analysis of the Sidewalk Toronto project
2.1Adaptive traffic management2.2Autonomous vehicles and SAE levels2.3Delivery and logistics robots2.4Drones and U-space management2.5Predictive maintenance of infrastructure2.6Self-managed electricity grids2.7Automated water management2.8Security and video analytics2.9Public services with intelligent assistants2.10Practice: design of an autonomous transport pilot
3.1Algorithmic governance and human oversight3.2Liability for autonomous decisions3.3Urban governance platforms3.4Data governance and trusts3.5Interoperability and open standards3.6Digital citizenship and identity3.7Participation in automated systems3.8Auditing and explainability3.9Management of technology suppliers3.10Workshop: human oversight model for a system
4.1AI Regulation and high-risk systems4.2European U-space Regulation4.3Regulation (EU) 2019/2144 on vehicle safety4.4Traffic law and autonomous vehicles in Spain4.5Civil liability and insurance4.6Data protection and surveillance4.7Cybersecurity and NIS24.8Digital Services Act4.9Digital rights of citizens4.10Case study: liability for an autonomous incident
5.1Systemic risks and interdependencies5.2Cyberattacks on urban infrastructure5.3Digital continuity plans5.4Algorithmic bias and discrimination5.5Digital divide and exclusion5.6Energy sustainability of computing5.7Social acceptance of autonomy5.8Rights impact assessment5.9Future governance scenarios5.10Workshop: risk analysis of an autonomous service
6.1Selection of the urban service6.2Architecture of the autonomous system6.3Proposed governance model6.4Regulatory and risk analysis6.5Pilot plan and evaluation6.6Implementation recommendations6.7Fundamental rights impact assessment6.8Human oversight mechanisms6.9Report and presentation6.10Final review with the tutor
How you'll learn
Fully 100% online training on the SEIUM campus, with downloadable material, recorded classes and a dedicated technical tutor. No fixed timetables: students progress at their own pace within the intake, which makes it possible to combine study with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is FIWARE, SUMO, CARLA, Node-RED, in free, academic or evaluation versions. Case studies are based on real procedures: designing an autonomous urban service pilot, analysing the risks of a cyber-physical system, and defining human oversight mechanisms. 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 cyber-physical systems that underpin the autonomous city.
Analyse autonomous urban services and their levels of automation.
Design digital governance models with human oversight.
Interpret the legal framework applicable to autonomous systems.
Assess technical, ethical and cybersecurity risks.
Where this takes you
Requirements
- No prior degree is 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.
Frequently asked questions
The programme consists of 300 hours in total, spread over 3 to 5 months. That is between 10 and 15 hours per week on average, compatible with full-time work.
You will work with FIWARE, SUMO, CARLA, Node-RED. Free, academic or evaluation versions are used, and the tutor will indicate the free alternative where one exists.
A SEIUM diploma of your own on passing the continuous assessment and the integrating project. It is in-house training, not an official qualification from the Ministry.
Yes. Modules passed in a course or postgraduate diploma in the same area can be credited towards the advanced programme. Check the credit transfer policy when you enrol.
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