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Master’s in Urban Fleet Electrification Engineering — TCO, Routes, Charging Depots

Online master's programme of 1,900 hours in urban fleet electrification engineering — TCO, routes and charging depots. 12 modules covering fleet data analysis, vehicle energy consumption, electric route optimisation, charging depot design, public and opportunity charging, total cost of ownership, fleet operations, smart charging, sustainability reporting and transition planning, with an assigned technical tutor.

Duration1900 h
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 telematics data to assess fleet electrifiability.

02

Model the energy consumption of urban vehicles.

03

Optimise routes with range and charging constraints.

04

Design scalable charging depots.

05

Calculate the total cost of ownership of electric vehicles.

06

Plan a phased fleet transition.

07

Develop a complete urban fleet electrification project.

Profile

Who it's for

  • Electric fleet managers.
  • Fleet electrification consultants.
  • Mobility data analysts.
  • Charging infrastructure engineers designing depots.
  • Sustainability managers responsible for fleet emissions.
  • Logistics operations planners.
  • Engineering or science graduates seeking to enter urban logistics.
Standards & tools

What you'll work with

  • Directive (EU) 2019/1161 (Clean Vehicles Directive)
  • Law 7/2021 (Spanish law on climate change and energy transition)
  • ITC-BT-52 (REBT, Spanish low-voltage regulation for charging infrastructure)
  • Regulation (EU) 2023/1804 (AFIR, alternative fuels infrastructure)
  • GHG Protocol Corporate Standard (greenhouse gas accounting)
  • ISO 14083 (GHG emissions from transport chains)
  • ISO 15118-2 (vehicle-to-grid communication, network and application protocol)
  • Directive (EU) 2022/2464 (CSRD, corporate sustainability reporting)
  • Google OR-Tools
  • Python
  • QGIS
  • PTV Route Optimiser
  • Geotab
Syllabus

12 modules · 1900 h

  1. 1.1Urban fleet types: delivery, services, taxi
  2. 1.2Low-emission zones and restrictions
  3. 1.3Climate change law and mobility
  4. 1.4Corporate decarbonisation targets
  5. 1.5Vehicle inventory and current use
  6. 1.6Maturity of the electric offering by segment
  7. 1.7Common operational barriers
  8. 1.8Governance of the transition
  9. 1.9Electrifiability indicators
  10. 1.10Case study: diagnosis of a municipal fleet
  1. 2.1Telematics and CAN-bus sources
  2. 2.2Cleaning trip data
  3. 2.3Daily mileage and variability
  4. 2.4Stop times and charging windows
  5. 2.5Speed profiles and topography
  6. 2.6Identification of replaceable vehicles
  7. 2.7Clustering routes by pattern
  8. 2.8Data visualisation with GIS
  9. 2.9Data quality and privacy
  10. 2.10Lab: telematics analysis with Python
  1. 3.1Consumption models by driving cycle
  2. 3.2Effect of payload
  3. 3.3HVAC consumption in winter and summer
  4. 3.4Effect of temperature on the battery
  5. 3.5Topography and regeneration
  6. 3.6Driving style and eco-driving
  7. 3.7Degradation and real-world range
  8. 3.8Consumption of auxiliary equipment
  9. 3.9Validation with test data
  10. 3.10Practical: van consumption model
  1. 4.1Electric vehicle routing problem (E-VRP)
  2. 4.2Range and charging constraints
  3. 4.3Delivery time windows
  4. 4.4Heuristic and metaheuristic algorithms
  5. 4.5En-route versus depot charging
  6. 4.6Assignment of vehicles to routes
  7. 4.7Dynamic real-time planning
  8. 4.8Commercial routing tools
  9. 4.9Evaluation of solutions
  10. 4.10Workshop: E-VRP with OR-Tools
  1. 5.1Estimating depot energy and power
  2. 5.2Number of points and charger type
  3. 5.3Sequential and staggered charging
  4. 5.4Bay layout and manoeuvring
  5. 5.5Depot load management
  6. 5.6Grid connection and transformer substation
  7. 5.7PV and storage integration
  8. 5.8Fire safety in depots
  9. 5.9Phased scalability
  10. 5.10Lab: design of a 60-van depot
  1. 6.1Use of the public network by fleets
  2. 6.2Charging at the driver's home
  3. 6.3Charging cards and roaming
  4. 6.4Opportunity charging at customer sites
  5. 6.5Home charging reimbursement
  6. 6.6Management of public charging costs
  7. 6.7Charging for taxis and ride-hailing vehicles
  8. 6.8Availability and waiting times
  9. 6.9Agreements with charging operators
  10. 6.10Practical: mixed charging strategy
  1. 7.1TCO methodology per vehicle
  2. 7.2Purchase price and residual values
  3. 7.3Energy cost versus fuel cost
  4. 7.4Maintenance and tyres
  5. 7.5Insurance and taxes
  6. 7.6Allocated infrastructure cost
  7. 7.7Financing, renting and leasing
  8. 7.8MOVES grants and taxation
  9. 7.9TCO sensitivity analysis
  10. 7.10Workshop: spreadsheet TCO model
  1. 8.1Electric fleet management software
  2. 8.2State of charge monitoring
  3. 8.3Shift and charging planning
  4. 8.4Predictive maintenance of EVs
  5. 8.5Management of battery incidents
  6. 8.6Training for drivers and technicians
  7. 8.7High-voltage safety in the workshop
  8. 8.8Organisational change management
  9. 8.9Operational availability indicators
  10. 8.10Case study: commissioning 30 EVs
  1. 9.1Tariff-based charging optimisation
  2. 9.2Limitation of contracted power
  3. 9.3Forecasting needs by shift
  4. 9.4Smart charging with OCPP
  5. 9.5Integration with planning systems
  6. 9.6Fleet flexibility services
  7. 9.7V2G in delivery fleets
  8. 9.8Electricity supply contracts
  9. 9.9PPAs and guarantees of origin
  10. 9.10Practical: overnight charging planning
  1. 10.1Fleet carbon footprint
  2. 10.2GHG Protocol Scopes 1, 2 and 3
  3. 10.3Vehicle life cycle assessment
  4. 10.4CSRD and ESRS E1 requirements
  5. 10.5Sustainable fleet certifications
  6. 10.6Communicating results
  7. 10.7End of life of batteries
  8. 10.8Urban air quality
  9. 10.9Noise and social benefits
  10. 10.10Workshop: fleet emissions report
  1. 11.1Phased roadmap
  2. 11.2Prioritisation of vehicles to replace
  3. 11.3Pilot tests and evaluation
  4. 11.4Public procurement of clean vehicles
  5. 11.5Clean Vehicles Directive
  6. 11.6Transition risk management
  7. 11.7Multi-year investment budget
  8. 11.8Internal and external communication
  9. 11.9Monitoring and review of the plan
  10. 11.10Case study: five-year plan for a company
  1. 12.1Characterisation of the target fleet
  2. 12.2Usage data analysis
  3. 12.3Selection of electric vehicles
  4. 12.4Route optimisation
  5. 12.5Charging depot design
  6. 12.6Total cost of ownership calculation
  7. 12.7Environmental assessment of the proposal
  8. 12.8Implementation roadmap
  9. 12.9Master's Thesis report
  10. 12.10Master's Thesis: defence before a panel
Methodology, software & labs

How you'll learn

100% online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. No fixed timetables: you progress at your own pace within the intake, so it can be combined with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is Google OR-Tools, Python, QGIS, PTV Route Optimiser and Geotab, in free, academic or evaluation versions. Testing is studied through real procedures for fleet telematics data analysis, route optimisation with range constraints and sizing of charging depots. Assessment is continuous by module, plus the final Master's Thesis.

Standards covered: Directive (EU) 2019/1161 (clean vehicles), Law 7/2021 on climate change and energy transition, ITC-BT-52 (REBT), Regulation (EU) 2023/1804 (AFIR), GHG Protocol Corporate Standard, ISO 14083, ISO 15118-2, Directive (EU) 2022/2464 (CSRD).

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of Directive (EU) 2019/1161, Law 7/2021 and ITC-BT-52 (REBT) applied to real cases, not as a theoretical annex.
Industry software:Google OR-Tools, Python, QGIS, PTV Route Optimiser and Geotab, in free, academic or evaluation versions.
Master's Thesis with defence:A complete urban fleet electrification project, defended before a panel.
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.

Fleet characterisation
Characterise the target fleet and analyse its telematics usage data.
Vehicles and routes
Select the electric vehicles and optimise routes with E-VRP.
Charging depot design
Design the charging depot and its load management.
TCO and environmental case
Calculate total cost of ownership and assess the environmental impact.
Master's Thesis
A complete urban fleet electrification project, defended before a panel.
Career opportunities

Where this takes you

Electric fleet managerFleet electrification consultantMobility data analystCharging infrastructure engineerSustainability managerLogistics operations planner
Admissions & scholarships

Requirements

  • A university degree in engineering, science or architecture, or equivalent demonstrable professional experience.
  • An internet connection and a computer able to run 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 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 Google OR-Tools, Python, QGIS, PTV Route Optimiser and Geotab, 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, plus 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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