Postgraduate Diploma in Fuel Analytics and Route Optimisation
Online 800-hour Postgraduate Diploma in Fuel Analytics and Route Optimisation. 8 modules covering MARPOL Annex VI (prevention of air pollution), Regulation (EU) 2015/757 (monitoring, reporting and verification of CO₂ emissions from maritime transport) and Python (pandas, scikit-learn). Assigned tutor and enrolment open.
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
Analyse the factors that determine the vessel's fuel consumption.
Clean and structure onboard data for analysis.
Build performance models based on data and physics.
Incorporate meteorological and oceanographic information into route planning.
Apply route optimisation techniques to reduce consumption and emissions.
Calculate fleet indicators in line with the EU MRV and the IMO CII.
Develop a route optimisation project using real data.
Who it's for
- Vessel performance analyst looking to specialise in Fuel Analytics and Route Optimisation.
- Maritime energy efficiency engineer looking to specialise in Fuel Analytics and Route Optimisation.
- Maritime data scientist looking to specialise in Fuel Analytics and Route Optimisation.
- Technical superintendent looking to specialise in Fuel Analytics and Route Optimisation.
- Route optimisation manager looking to specialise in Fuel Analytics and Route Optimisation.
- Fleet emissions manager looking to specialise in Fuel Analytics and Route Optimisation.
- Engineering or science graduates looking to enter shipping companies.
What you'll work with
- MARPOL Annex VI (prevention of air pollution)
- Regulation (EU) 2015/757 (monitoring, reporting and verification of CO₂ emissions from maritime transport)
- ISO 19030 (measurement of changes in hull and propeller performance)
- Regulation (EU) 2023/1805 (FuelEU Maritime)
- IMO Carbon Intensity Indicator (CII)
- ISO 15016 (analysis of speed trials)
8 modules · 800 h
1.1Resistance to advance and power1.2Propeller curve and specific fuel consumption1.3Speed–consumption relationship1.4Influence of draught and trim1.5Hull fouling1.6Effect of weather and waves1.7Fuels and calorific value1.8EEOI and CII indicators1.9ISO 19030 performance standards1.10Case study: consumption curve of a container ship
2.1Noon reports2.2Fuel flow meters2.3Shaft torsionmeters2.4Navigation sensors and AIS2.5Automatic data acquisition2.6Data quality and cleaning2.7Filtering steady-state conditions2.8Fleet data platforms2.9Data cyber security2.10Laboratory: cleaning noon reports in Python
3.1Physical resistance models3.2Black-box models3.3Hybrid or grey-box models3.4Regression and machine learning3.5Wind and wave correction under ISO 150163.6Tracking degradation3.7Evaluation of hull cleaning3.8Model validation3.9Model interpretability3.10Practice: consumption model using gradient boosting
4.1Marine weather forecasting4.2GFS and ECMWF models4.3Waves and WAVEWATCH III models4.4Ocean currents4.5Ice and restricted zones4.6Forecast uncertainty4.7GRIB formats4.8Weather routing services4.9Safety and storms4.10Workshop: reading GRIB forecasts
5.1The route optimisation problem5.2Isochrone method5.3Dynamic programming5.4A* and Dijkstra algorithms on a grid5.5Multi-objective optimisation5.6Safety and manoeuvring constraints5.7Speed optimisation5.8Just-in-time arrival (JIT)5.9ECA zones and costs5.10Laboratory: route optimisation with isochrones
6.1Slow steaming and its effect6.2Trim optimisation6.3Voyage planning6.4Charter clauses and guaranteed consumption6.5Performance claims6.6Fleet management with dashboards6.7Communication with the vessel6.8Crew training6.9Efficiency incentives6.10Case study: consumption claim under a charter
7.1Calculation of CO₂ emissions7.2SEEMP Part III7.3EU ETS and MRV7.4FuelEU Maritime7.5Carbon cost on the route7.6Reporting to charterers7.7Sea Cargo Charter initiatives7.8Data verification7.9Operational decarbonisation strategies7.10Practice: emissions cost per route
8.1Vessel and route selection8.2Historical data analysis8.3Consumption model8.4Forecast integration8.5Optimisation algorithm8.6Assessment of savings8.7Impact on emissions and costs8.8Implementation proposal8.9Report 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. There are 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 Python (pandas, scikit-learn), Power BI, MATLAB, QGIS, Copernicus Marine Service, in free, academic or evaluation versions. Case studies are based on real procedures: analysis of onboard sensor data, route simulation with weather forecasts and fleet consumption audits. 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 factors that determine the vessel's fuel consumption.
Clean and structure onboard data for analysis.
Build performance models based on data and physics.
Incorporate meteorological and oceanographic information into route planning.
Apply route optimisation techniques to reduce consumption and emissions.
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 between 10 and 15 hours per week on average, compatible with a full-time job.
You will work with Python (pandas, scikit-learn), Power BI, MATLAB, QGIS, Copernicus Marine Service. Free, academic or evaluation versions are used, and the tutor indicates the open-source alternative where one exists.
A SEIUM Diploma upon passing the continuous assessment and the final 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 recognised towards the advanced programme. Please consult the recognition policy when you enrol.
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