Postgraduate Diploma in Operation, KPIs and Revenue Models for Charging Hubs
Online 800-hour Postgraduate Diploma in Operation, KPIs and Revenue Models for Charging Hubs. 8 modules covering Regulation (EU) 2023/1804, OCPP 2.0.1 and Power BI. Assigned tutor and open enrolment.
Take the controls.
Run a real engineering trade-off from this programme. Move the sliders, watch the model react in real time and beat the challenge.
What you will be able to do
Analyse the business model of charging hubs.
Define and calculate operational KPIs from session data.
Build financial indicators and profit and loss accounts by site.
Design pricing policies compliant with AFIR.
Identify complementary revenue sources for the hub.
Organise the efficient operation of a charging hub.
Apply data analytics to the continuous improvement of profitability.
Who it's for
- Charging hub manager who wants to specialise in Operation, KPIs and Revenue Models for Charging Hubs.
- Business analyst in electromobility who wants to specialise in Operation, KPIs and Revenue Models for Charging Hubs.
- Charging pricing manager who wants to specialise in Operation, KPIs and Revenue Models for Charging Hubs.
- Financial controller for infrastructure who wants to specialise in Operation, KPIs and Revenue Models for Charging Hubs.
- Site operations manager who wants to specialise in Operation, KPIs and Revenue Models for Charging Hubs.
- Electric mobility data analyst who wants to specialise in Operation, KPIs and Revenue Models for Charging Hubs.
- Engineering or science graduates seeking to enter charging operators.
What you'll work with
- Regulation (EU) 2023/1804
- OCPP 2.0.1
- OCPI 2.2.1
- ISO 55001
- ISO 50001
- Regulation (EU) 2016/679
- ISO 9001
8 modules · 800 h
1.1Urban hubs versus corridor hubs1.2Hubs for fleets and urban logistics1.3The charging value chain1.4Role of the CPO, eMSP, owner and retailer1.5Complementary services for the user1.6User experience design1.7Competition and market positioning1.8Trends in the European charging market1.9Benchmarks of leading operators1.10Case study: analysis of a reference hub
2.1Time and energy utilisation2.2Availability and uptime of points2.3Successful versus failed sessions2.4Energy per session and dwell time2.5Waiting times and queue formation2.6Average power delivered per session2.7Share of returning users2.8Customer satisfaction and ratings2.9Energy efficiency indicators of the hub2.10Laboratory: calculating KPIs from OCPP data
3.1Revenue per point and per kWh3.2Gross margin on energy3.3Structure of fixed and variable costs3.4EBITDA by site3.5Utilisation required for break-even3.6Cost of capital and depreciation3.7Customer lifetime value3.8Return on investment indicators3.9Management dashboards3.10Practice: profit and loss account of a hub
4.1Price per kWh versus price per minute4.2Tariffs for prolonged occupation4.3Subscriptions and passes for frequent users4.4Dynamic pricing according to demand4.5Price transparency required by AFIR4.6Ad hoc payment by bank card4.7Prices for roaming customers4.8Price elasticity of demand4.9Market price comparison4.10Workshop: designing a pricing policy
5.1Retail and food service at the hub5.2Digital advertising on screens5.3Flexibility services with BESS5.4Sale of generated solar energy5.5Carbon certificates and credits5.6Agreements with professional fleets5.7Associated parking services5.8Data and value-added services5.9Partnerships with vehicle brands5.10Case study: revenue diversification of a hub
6.1Remote management from the operations centre6.2Predictive maintenance of chargers6.3Energy and available power management6.4On-site staff versus self-service6.5Site cleaning and security6.6Queue management and booking systems6.7Multichannel customer service6.8Supplier and subcontractor management6.9Incident management on site6.10Practice: standard operating procedure for the hub
7.1Data sources available at the hub7.2Business intelligence platforms7.3Customer segmentation by behaviour7.4Demand forecasting by time slot7.5User cohort analysis7.6A/B experiments on pricing7.7Optimisation of point utilisation7.8Periodic reporting to investors7.9Governance and data quality7.10Laboratory: KPI dashboard in Power BI
8.1Site selection8.2Definition of target KPIs8.3Design of the revenue model8.4Proposed pricing policy8.5Hub operations plan8.6Ten-year financial model8.7Sensitivity and risk analysis8.8Continuous improvement plan8.9Report and presentation8.10Final review with the tutor
How you'll learn
Fully 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 study with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is Power BI, Tableau, Python, Microsoft Excel, in free, academic or evaluation versions. Tests are studied on real procedures for profitability analysis of urban charging hubs, design of pricing policies for public charging, and definition of operational and financial dashboards. 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.
Analyse the business model of charging hubs.
Define and calculate operational KPIs from session data.
Build financial indicators and profit and loss accounts by site.
Design pricing policies compliant with AFIR.
Identify complementary revenue sources for the hub.
Where this takes you
Requirements
- Prior technical training or professional experience in the sector. A university degree is not 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 comprises 800 hours in total, spread over 6 to 8 months. That is 10 to 15 hours per week on average, compatible with a full-time job.
The programme works with Power BI, Tableau, Python, Microsoft Excel. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.
An SEIUM diploma upon 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 are credited towards the advanced programme. Check the credit recognition policy when you enrol.
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