Postgraduate Diploma in Consumption and ETA Optimisation
Online 800-hour Postgraduate Diploma in Consumption and ETA Optimisation. 8 modules covering MARPOL Annex VI (energy efficiency, EEXI and CII), Regulation (EU) 2015/757 (MRV of maritime emissions) and NAPA Voyage Optimization. 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
Analyse the factors that determine the vessel's fuel consumption.
Monitor vessel performance using operational data.
Apply operational optimisation measures such as speed adjustment and trim.
Plan the ETA by coordinating speed, port and berth availability.
Build predictive consumption models using machine learning techniques.
Assess the impact of CII, EU ETS and FuelEU Maritime on operations.
Interpret contractual clauses related to consumption and speed.
Who it's for
- Fleet performance analyst looking to specialise in Consumption Optimisation and ETA.
- Energy efficiency superintendent looking to specialise in Consumption Optimisation and ETA.
- Voyage planner looking to specialise in Consumption Optimisation and ETA.
- Vessel operator looking to specialise in Consumption Optimisation and ETA.
- Maritime decarbonisation consultant looking to specialise in Consumption Optimisation and ETA.
- Data engineer in maritime operations looking to specialise in Consumption Optimisation and ETA.
- Engineering or science graduates seeking to enter shipping companies.
What you'll work with
- MARPOL Annex VI (energy efficiency, EEXI and CII)
- Regulation (EU) 2015/757 (MRV of maritime emissions)
- ISO 19030 (hull-propeller performance measurement)
- Regulation (EU) 2023/1805 (FuelEU Maritime)
- Directive (EU) 2023/959 (inclusion of maritime transport in the EU ETS)
- BIMCO CII and ETS clauses for charter parties
8 modules · 800 h
1.1Energy balance of the vessel1.2Resistance to advance and effective power1.3Propulsive and propeller efficiency1.4Speed-power curve and cube law1.5Specific fuel oil consumption (SFOC)1.6Consumption of auxiliaries and boilers1.7Influence of draught and trim1.8Hull and propeller fouling1.9Fuels and calorific value1.10Practice: speed-consumption curve of a bulk carrier
2.1ISO 19030 standard for hull and propeller performance2.2Noon reports and data quality2.3Automatic acquisition systems2.4Coriolis mass flowmeters2.5Torsiometers and shaft power2.6Correction for wind, waves and current2.7Energy performance indicators2.8Detection of hull degradation2.9Assessment of cleaning and coatings2.10Laboratory: speed loss according to ISO 19030
3.1Optimum speed and slow steaming3.2Trim optimisation3.3Ballast management3.4Optimum load of auxiliary engines3.5Management of steam plant and boilers3.6Adaptive autopilot3.7Hull cleaning and propeller polishing3.8Energy management on board3.9SEEMP good practices3.10Workshop: trim optimisation with real data
4.1ETA calculation and its uncertainties4.2Berth windows and port congestion4.3Just-in-time arrival and IMO guidance4.4Data exchange with the port (PortCDM)4.5Required speed and time margin4.6Effect of currents and weather4.7Waiting at anchor versus speed reduction4.8Communication with charterer and agent4.9Impact on laytime and demurrage4.10Case study: JIT arrival at a container terminal
5.1Physical and semi-empirical models5.2Holtrop-Mennen method5.3Grey-box models5.4Regression and machine learning5.5Neural networks to predict consumption5.6Validation and prediction error5.7Performance digital twin5.8Integration with routing systems5.9Quantification of uncertainty5.10Practice: consumption model in Python with sensor data
6.1MARPOL Annex VI and energy efficiency6.2EEDI and EEXI indices6.3Carbon Intensity Indicator (CII)6.4IMO Data Collection System (DCS)6.5EU MRV Regulation6.6EU ETS applied to maritime transport6.7FuelEU Maritime Regulation6.8Calculation of CO2 emissions per voyage6.9CII improvement plans6.10Case study: CII projection of an oil tanker
7.1Speed and consumption guarantees in charters7.2BIMCO slow steaming and CII clauses7.3Performance claims7.4Fuel cost and bunker adjustment7.5Sharing of savings between owner and charterer7.6Economic valuation of efficiency measures7.7Fleet management tools7.8Client reporting and transparency7.9Audit of consumption data7.10Practice: claim for excess consumption
8.1Selection of vessel and route8.2Historical data analysis8.3Vessel consumption model8.4Speed and ETA strategy8.5Operational saving measures8.6CII and emissions assessment8.7Economic analysis8.8On-board implementation plan8.9Report 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 intake, which makes it compatible with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is NAPA Voyage Optimization, Python (pandas, scikit-learn), MATLAB, Power BI, in free, academic or evaluation versions. The practical tests are based on real procedures for data analysis of noon reports and sensors, simulation of speed and ETA scenarios, and calculation of a vessel's CII rating. Assessment is continuous, module by 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.
Monitor vessel performance using operational data.
Apply operational optimisation measures such as speed adjustment and trim.
Plan the ETA by coordinating speed, port and berth availability.
Build predictive consumption models using machine learning techniques.
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 consists of 800 hours in total, spread over 6 to 8 months. That is an average of 10 to 15 hours per week, compatible with a full-time job.
Work is carried out with NAPA Voyage Optimization, Python (pandas, scikit-learn), MATLAB, Power BI. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.
An SEIUM own 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 credited towards the advanced programme. Check the credit transfer policy when enrolling.
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