Course in IMO Regulatory Reporting Automation
Online 300-hour course in IMO regulatory reporting automation. 6 modules covering MARPOL Annex VI, IMO Resolution MEPC.346(78) on SEEMP and Python with pandas. 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
Understand the IMO and EU reporting obligations applicable to ships.
Validate the quality of source consumption and navigation data.
Automate the extraction, transformation and generation of regulatory reports.
Calculate indicators such as AER, CII, EEXI and GHG intensity.
Simulate corrective measures in the event of a poor CII rating.
Prepare reports for verification and audit.
Design an automated regulatory reporting workflow for a fleet.
Who it's for
- Environmental compliance manager looking to specialise in IMO regulatory reporting automation.
- Regulatory reporting analyst looking to specialise in IMO regulatory reporting automation.
- Fleet superintendent looking to specialise in IMO regulatory reporting automation.
- Designated Person Ashore (DPA) looking to specialise in IMO regulatory reporting automation.
- Maritime regulatory consultant looking to specialise in IMO regulatory reporting automation.
- Process automation engineer looking to specialise in IMO regulatory reporting automation.
- Engineering or science graduates seeking to enter shipping companies.
What you'll work with
- MARPOL Annex VI
- IMO Resolution MEPC.346(78) on SEEMP
- IMO Resolution MEPC.352(78) on the CII
- Regulation (EU) 2015/757 on MRV
- Directive (EU) 2023/959 on EU ETS
- Regulation (EU) 2023/1805 FuelEU Maritime
- ISM Code
6 modules · 300 h
1.1Structure of the IMO conventions1.2MARPOL Annex VI and emissions reporting1.3DCS consumption data collection system1.4CII indicator and annual rating1.5SEEMP parts I, II and III1.6MARPOL electronic record books1.7IMO GISIS database1.8MRV and EU ETS reporting in parallel1.9Verification schedule and deadlines1.10Case study: regulatory calendar of a shipowner
2.1Oil record book and fuel2.2Bunker delivery notes (BDN)2.3Consumption measurement methods2.4IMO emission factors2.5Distances and navigation hours2.6Cross-validation with AIS2.7Corrections and error management2.8Traceability for the verifier2.9Standardised data templates2.10Laboratory: validation of one year of DCS data
3.1Data extraction from ERP and PMS3.2Transformation with Python scripts3.3Robotic process automation (RPA)3.4Automatic generation of PDF reports3.5XML and JSON schemas for submissions3.6Integration with THETIS-MRV3.7Report version control3.8Audit trails3.9Scheduling of periodic tasks3.10Practice: automatic generator of the DCS report
4.1Calculation of AER and the attained CII4.2Correction factors and voyage adjustments4.3Reference lines and annual reduction4.4CII projection to year end4.5Simulation of corrective measures4.6EEXI index and power limitation4.7EU ETS allowance costs4.8GHG intensity under FuelEU4.9Sensitivity to fuel choice4.10Workshop: CII projection for a fleet
5.1Relationship with classification societies5.2Declaration of conformity and certificates5.3Internal process audit5.4Port State Control inspections5.5Non-conformity management5.6Data security and confidentiality5.7DPA responsibilities under the ISM Code5.8Compliance indicators5.9Preparing for regulatory changes5.10Case study: audit of a rejected report
6.1Inventory of reporting obligations6.2Map of data sources6.3Design of the automated workflow6.4Implementation of validation rules6.5Generation of test reports6.6Testing with historical data6.7Control and audit plan6.8Estimation of hours saved6.9Report and presentation6.10Final review with the tutor
How you'll learn
100 % online training on the SEIUM campus, with downloadable material, recorded classes and assigned technical tutor. No fixed timetables: students progress at their own pace within the intake, which makes it possible to combine the course with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is Python with pandas, UiPath, Microsoft Power Automate, THETIS-MRV, Microsoft Power BI, in free, academic or evaluation versions. Case studies are based on real procedures: automating a DCS report from on-board data, projecting the annual CII under different scenarios, and preparing a file for the verifier. Assessment is continuous 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.
Understand the IMO and EU reporting obligations applicable to ships.
Validate the quality of source consumption and navigation data.
Automate the extraction, transformation and generation of regulatory reports.
Calculate indicators such as AER, CII, EEXI and GHG intensity.
Simulate corrective measures in the event of a poor CII rating.
Where this takes you
Requirements
- No prior degree is required.
- Internet connection and a computer capable of running the programme's software.
- Sufficient level 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 300 hours, spread over 3 to 5 months. That is an average of 10 to 15 hours per week, compatible with full-time work.
The course uses Python with pandas, UiPath, Microsoft Power Automate, THETIS-MRV and Microsoft Power BI. Free, academic or evaluation versions are used, and the tutor indicates the open-source alternative where one exists.
An own diploma from SEIUM on 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 recognised towards the advanced programme. Check the recognition policy when you enrol.
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