Master’s in EV Public Charging Planning Engineering
Online master's programme of 1,900 hours in public EV charging planning engineering, structured in 12 modules covering the charging ecosystem, demand estimation, optimal siting, grid connection, station design, smart charging, interoperability, user experience, business models, fleets and municipal planning, with Regulation (EU) 2023/1804 (AFIR), IEC 61851-1 and QGIS, and an assigned technical tutor.
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
Estimate public charging demand at urban scale using quantitative models.
Select optimal sites through geospatial and multi-criteria analysis.
Size the grid connection and electrical installation of stations.
Apply AFIR, REBT and IEC requirements in charge point design.
Design smart charging management strategies.
Assess the economic viability of concession-based charging networks.
Draft municipal deployment plans with monitoring indicators.
Who it's for
- Charging infrastructure planners.
- E-mobility project engineers.
- Municipal electric mobility technicians.
- Fleet electrification consultants.
- Charging data analysts.
- CPO operations managers.
- Engineering or science graduates aiming to work in urban mobility.
What you'll work with
- Regulation (EU) 2023/1804 (AFIR) (Alternative Fuels Infrastructure Regulation)
- IEC 61851-1 (EV conductive charging systems – general requirements)
- ITC-BT-52 of the REBT (RD 1053/2014) (Spanish low-voltage rules for EV charging installations)
- IEC 62196-2 (plugs, socket-outlets and vehicle connectors)
- ISO 15118-20 (vehicle-to-grid communication interface)
- Directive (EU) 2024/1275 (EPBD) (Energy Performance of Buildings Directive)
- IEC 61851-23 (DC EV charging stations)
- QGIS
- Python (pandas, PuLP)
- PTV Visum
- DIgSILENT PowerFactory
- OCPP simulator (SteVe)
12 modules · 1900 h
1.1Charging types: slow, fast, rapid and ultra-rapid1.2Charging modes 1 to 4 to IEC 618511.3Type 2, CCS Combo 2 and CHAdeMO connectors1.4User profiles: residents without a garage, fleets, through traffic1.5Battery charging curves and accepted power1.6Stakeholders: CPO, eMSP, network operator and city council1.7AFIR targets by corridor and urban node1.8Growth of the EV fleet and penetration scenarios1.9Coverage indicators and charge-point-to-vehicle ratio1.10Case study: diagnosis of charging provision in a city
2.1Bass-type electric vehicle adoption models2.2Mobility surveys and origin–destination matrices2.3Parking patterns and dwell times2.4Fleet demand: taxis, ride-hailing, delivery and buses2.5Tourist and seasonal demand at destinations2.6Charging session data and its cleaning2.7Discrete choice models for charge point selection2.8Hourly projection and daily energy profiles2.9Sensitivity analysis of demand scenarios2.10Practical exercise: demand model by transport zones
3.1Accessibility analysis and isochrones3.2Maximum coverage and p-median problems3.3Flow-capturing models on corridors3.4Urban planning and street occupancy criteria3.5Points of interest and trip generators3.6Territorial equity and vulnerable neighbourhoods3.7Multi-criteria analysis with AHP for site selection3.8Validation with usage data from the existing network3.9Prioritisation by deployment phases3.10Workshop: site optimisation with QGIS and Python
4.1Access capacity in distribution networks4.2Access and connection application procedure4.3Transformer substations for charging hubs4.4Sizing medium- and low-voltage service connections4.5Simultaneity factor in multi-point stations4.6Power quality and charger harmonics4.7Type B residual-current protection and surges4.8Storage to support weak grids4.9Coordination with the distribution company's investment plan4.10Practical exercise: connection study for a 1 MW hub
5.1Installations to ITC-BT-52 of the REBT5.2Selecting AC and DC chargers by power5.3Distributed power architectures and dispensers5.4Earthing and connection schemes5.5Civil works, ducting and foundations5.6Universal accessibility of charging bays5.7Vertical and horizontal signage of bays5.8Fire protection in car parks5.9Lighting, CCTV and street furniture5.10Lab: detailed design of a four-bay station
6.1Dynamic power management and load balancing6.2Scheduled charging based on price and grid signals6.3Integration with local photovoltaics and storage6.4Bidirectional V2G and V1G charging on public streets6.5Flexibility for the system operator6.6Power allocation algorithms between vehicles6.7Charging forecasting with machine learning6.8Demand response and services to the distribution company6.9Battery constraints and degradation6.10Lab: simulation of charge management at a hub
7.1OCPP 1.6 and 2.0.1: messages and use cases7.2OCPI for roaming between operators7.3ISO 15118 and Plug & Charge7.4OpenADR for demand response7.5Charge point management platforms7.6Digital certificates and PKI in charging7.7Cybersecurity of connected chargers7.8Conformance and interoperability testing7.9Protocol migration in existing networks7.10Practical exercise: integrating a charger with a test CSMS
8.1Ad hoc card payment under AFIR8.2Price transparency and per-kWh pricing8.3Mobile apps and charge point location8.4Availability, reliability and uptime8.5Bay booking and queue management8.6Open data and national access points8.7Preventive and corrective maintenance8.8Customer service and incident handling8.9Satisfaction measurement and surveys8.10Case study: user experience audit of an urban network
9.1CAPEX investment costs by type9.2Operating costs, capacity and energy charges9.3Public-domain concessions and municipal tenders9.4Public–private partnership models9.5Grants and MOVES programmes9.6Additional revenue: advertising and retail9.7Pricing and pricing strategy9.8Profitability analysis with NPV and IRR9.9Utilisation risks and the learning curve9.10Case study: business plan for a concession network
10.1Electrification of urban buses at depots10.2Opportunity charging with pantographs10.3Charging for taxis and ride-hailing at ranks10.4Logistics hubs for delivery vehicles10.5Megawatt charging with MCS for trucks10.6Planning overnight fleet charging10.7Integration with service scheduling10.8Energy sizing of depots10.9Supply contracts for large consumers10.10Case study: charging plan for a municipal fleet
11.1Municipal charging strategy and sustainable urban mobility plans (SUMP)11.2Street occupancy by-laws and permits11.3Low-emission zones and their effect on demand11.4Citizen participation in siting charge points11.5Coordination between administrations11.6Monitoring with deployment indicators11.7End-of-life management of obsolete equipment11.8Integration with public car parks11.9Communication and social acceptance11.10Workshop: drafting a charging master plan
12.1Definition of the urban area and scope12.2Diagnosis of demand and existing supply12.3Network proposal and implementation phases12.4Electrical connection study and costs12.5Economic and governance model12.6Environmental and social impact assessment12.7Monitoring plan with indicators12.8Critical review of alternatives12.9Master's Thesis report12.10Master's Thesis: defence before a panel
How you'll learn
The programme is delivered 100% online on the SEIUM campus, with downloadable materials, recorded classes and an assigned technical tutor. There are no fixed timetables: you progress at your own pace within each intake, so the programme fits around your job.
Each module combines theory, guided reading of the original standards and applied exercises. The working software is QGIS, Python (pandas, PuLP), PTV Visum, DIgSILENT PowerFactory and OCPP simulator (SteVe), in free, academic or evaluation versions. Practical work is based on real procedures: connection capacity studies on distribution networks, simulation of charge point occupancy and station availability audits. Assessment is continuous, module by module, plus the final Master's Thesis.
Standards covered: Regulation (EU) 2023/1804 (AFIR), IEC 61851-1, ITC-BT-52 of the REBT (RD 1053/2014), IEC 62196-2, ISO 15118-20, Directive (EU) 2024/1275 (EPBD), IEC 61851-23.
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
- University degree in engineering, science or architecture, or equivalent demonstrable professional experience.
- Internet connection and a computer capable of running the programme's 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 1,900 hours over 12–14 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.
You work with QGIS, Python (pandas, PuLP), PTV Visum, DIgSILENT PowerFactory and OCPP simulator (SteVe), 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 Master's Thesis. 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 in a course or postgraduate diploma in the same area are recognised in the higher programme. Ask about the recognition policy when you enrol.
A university degree in engineering, science or architecture (or equivalent professional experience), a computer able to run the 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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