Postgraduate Diploma in Route Planning and TCO
Online 800 h postgraduate diploma in Route Planning and TCO. 8 modules covering Regulation (EU) 2023/1804 (AFIR, alternative fuels infrastructure), Directive (EU) 2019/1161 (clean vehicles in public procurement) and Python (OR-Tools). Assigned 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
Characterise electric vehicle technologies for fleets.
Model energy consumption by route, load and climate.
Plan routes with range and recharging constraints.
Schedule charging to minimise cost and power demand.
Calculate the total cost of ownership against combustion vehicles.
Design a fleet transition roadmap.
Define operational and management indicators for an electrified fleet.
Who it's for
- Electric fleet manager looking to specialise in Route Planning and TCO.
- Vehicle TCO analyst looking to specialise in Route Planning and TCO.
- Logistics route planner looking to specialise in Route Planning and TCO.
- Charging infrastructure engineer looking to specialise in Route Planning and TCO.
- Fleet electrification consultant looking to specialise in Route Planning and TCO.
- Sustainable mobility manager looking to specialise in Route Planning and TCO.
- Engineering or science graduates seeking to enter logistics and transport.
What you'll work with
- Regulation (EU) 2023/1804 (AFIR, alternative fuels infrastructure)
- Directive (EU) 2019/1161 (clean vehicles in public procurement)
- Regulation (EU) 2019/1242 (CO₂ emissions from heavy-duty vehicles)
- IEC 61851-1 (conductive charging systems)
- ISO 15118 (vehicle-to-grid communication)
- OCPP 2.0.1 (charge point protocol)
8 modules · 800 h
1.1Fleet typologies: urban, regional and long-distance1.2Battery electric and fuel cell vehicles1.3Range, consumption and influencing factors1.4Traction batteries and degradation1.5Depot and opportunity chargers1.6Pantographs and fast charging1.7Operational requirements of fleets1.8Telematics data and its use1.9Emissions regulations and low-emission zones1.10Workshop: real consumption analysis of a pilot fleet
2.1Physical models of longitudinal dynamics2.2Effect of gradient, load and speed2.3Climate control and auxiliary consumption2.4Regenerative braking2.5Standard driving cycles2.6Data-based models2.7Uncertainty in consumption2.8Simulation tools2.9Validation with real data2.10Practical: consumption model of an electric bus
3.1Vehicle routing problem (VRP)3.2VRP with electric vehicles (E-VRP)3.3Time windows and constraints3.4En-route charging stops3.5Exact and heuristic algorithms3.6Metaheuristics: tabu search and genetic algorithms3.7Tools: OR-Tools and VROOM3.8Real-time dynamic routing3.9Integration with traffic data3.10Laboratory: E-VRP with OR-Tools
4.1Scheduling of vehicles and services4.2Depot charging scheduling4.3Contracted power constraints4.4Time-of-use tariffs and dynamic pricing4.5Charging optimisation with linear programming4.6Management of minimum departure SoC4.7Opportunity charging at terminals4.8OCPP interoperability4.9Coordination with the distribution network operator4.10Practical: overnight charging optimisation of a fleet
5.1Components of TCO5.2Acquisition costs and residual value5.3Energy costs by energy carrier5.4Maintenance of electric versus diesel vehicles5.5Charging infrastructure and its amortisation5.6Battery replacement5.7Insurance, tolls and taxes5.8Public subsidies and taxation5.9TCO sensitivity analysis5.10Laboratory: comparative TCO model for diesel, electric and hydrogen
6.1Progressive replacement strategies6.2Selection of priority routes6.3Sizing the electric fleet6.4Infrastructure planning6.5Driver and workshop training6.6Transition risk management6.7Carbon footprint and life cycle assessment6.8Sustainability reporting6.9Leasing and service contracts6.10Case study: electrification plan for an urban delivery fleet
7.1Fleet management systems7.2Battery state monitoring7.3Operational and energy indicators7.4En-route incident management7.5Predictive vehicle maintenance7.6Efficient driving7.7Cybersecurity in connected vehicles7.8Integration with ERP and planning7.9Continuous improvement7.10Workshop: dashboard for an electric fleet
8.1Characterisation of the fleet and its services8.2Energy consumption modelling8.3Electric route planning8.4Charging strategy design8.5Total cost of ownership calculation8.6Phased transition plan8.7Risk analysis8.8Recommendations and conclusions8.9Report and presentation8.10Final 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. No fixed timetables: students progress at their own pace within the enrolment period, making it possible to combine the programme with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is Python (OR-Tools), ArcGIS Network Analyst, PTV Route Optimiser, MATLAB, advanced Excel, in free, academic or evaluation versions. Tests are studied using real energy consumption modelling procedures with telemetry data, route optimisation with range constraints, and comparative total cost of ownership calculations. Assessment is continuous, per module, plus the final integrative project.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Characterise electric vehicle technologies for fleets.
Model energy consumption by route, load and climate.
Plan routes with range and recharging constraints.
Schedule charging to minimise cost and power demand.
Calculate the total cost of ownership against combustion vehicles.
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 command of 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 totals 800 hours spread over 6 to 8 months. That is an average of 10 to 15 hours per week, compatible with full-time work.
The programme works with Python (OR-Tools), ArcGIS Network Analyst, PTV Route Optimiser, MATLAB and advanced Excel. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.
A SEIUM Institute diploma upon passing the continuous assessment and the final integrative project. This 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 recognised towards the higher programme. Check the recognition policy when you enrol.
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