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Postgraduate DiplomaNaval, Offshore & Sports Nautical Applications open

Postgraduate Diploma in Fleet Operational Visualisation and KPIs

Online 800 h Postgraduate Diploma in Operational Visualisation and Fleet KPIs. 8 modules covering Regulation (EU) 2015/757 (MRV of maritime transport emissions), MARPOL Annex VI regulation 27 (Data Collection System, DCS) and Power BI. Assigned tutor and enrolment open.

Duration800 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

Identify the operational data sources of a fleet.

02

Define fleet KPIs with clear calculation criteria.

03

Apply principles of effective data visualisation.

04

Build dashboards with business intelligence tools.

05

Design the operations of a fleet operations centre.

06

Carry out comparative analyses between vessels.

07

Manage user adoption of dashboards.

Profile

Who it's for

  • Fleet performance analyst looking to specialise in Operational Visualisation and Fleet KPIs.
  • Fleet operations centre manager looking to specialise in Operational Visualisation and Fleet KPIs.
  • Maritime data engineer looking to specialise in Operational Visualisation and Fleet KPIs.
  • Performance superintendent looking to specialise in Operational Visualisation and Fleet KPIs.
  • Business intelligence consultant looking to specialise in Operational Visualisation and Fleet KPIs.
  • Environmental reporting manager looking to specialise in Operational Visualisation and Fleet KPIs.
  • Graduates in engineering or sciences seeking to enter shipping companies.
Standards & tools

What you'll work with

  • Regulation (EU) 2015/757 (MRV of maritime transport emissions)
  • MARPOL Annex VI regulation 27 (Data Collection System, DCS)
  • Resolution MEPC.352(78) (CII indicator)
  • BIMCO Shipping KPI Standard
  • ISO 19848 (standards for shipboard machinery and equipment data)
  • ISO 8000 (data quality)
  • ISO 50001 (energy management)
Syllabus

8 modules · 800 h

  1. 1.1Data sources: noon reports, sensors and AIS
  2. 1.2Fleet management and maintenance systems
  3. 1.3Data quality, completeness and validation
  4. 1.4ISO 19847 and ISO 19848 standards for shipboard data
  5. 1.5Integration of onboard and shore-side data
  6. 1.6Commercial and chartering data
  7. 1.7Data governance and ownership
  8. 1.8Data frequency and latency
  9. 1.9Architecture of a fleet data warehouse
  10. 1.10Practical case: data inventory of a shipping company
  1. 2.1BIMCO Shipping KPI framework
  2. 2.2Technical KPIs: breakdowns and availability
  3. 2.3Safety KPIs: LTIF and near misses
  4. 2.4Environmental KPIs: CII and consumption
  5. 2.5PSC inspection and vetting KPIs
  6. 2.6Crew KPIs and retention
  7. 2.7Commercial KPIs: off-hire and utilisation
  8. 2.8Leading versus lagging indicators
  9. 2.9Targets, thresholds and traffic lights
  10. 2.10Workshop: KPI dashboard for a tanker fleet
  1. 3.1Visual perception and preattentive attributes
  2. 3.2Selecting the chart type
  3. 3.3Colour, contrast and accessibility
  4. 3.4Tables versus charts
  5. 3.5Time series and trends
  6. 3.6Maps and geospatial visualisation of vessels
  7. 3.7Visualising uncertainty
  8. 3.8Common errors and misleading charts
  9. 3.9Data storytelling
  10. 3.10Practice: redesigning a monthly fleet report
  1. 4.1Power BI: modelling and DAX
  2. 4.2Tableau and Grafana
  3. 4.3Python with Plotly and Dash
  4. 4.4Connecting to databases and APIs
  5. 4.5Automatic data refresh
  6. 4.6Mobile-responsive design
  7. 4.7Access control and security
  8. 4.8Dashboard performance
  9. 4.9Deployment and maintenance
  10. 4.10Lab: fuel consumption dashboard in Power BI
  1. 5.1Functions of the operations centre
  2. 5.2Vessel position and status view
  3. 5.3Alerts and exception management
  4. 5.4Hull and engine performance view
  5. 5.5ETA and delay tracking
  6. 5.6Weather and risk view
  7. 5.7Integration with communications
  8. 5.8Videowall ergonomics
  9. 5.9Shifts and centre procedures
  10. 5.10Practical case: operations room of a shipping company
  1. 6.1Comparison between sister vessels
  2. 6.2Normalisation by vessel type and conditions
  3. 6.3Root cause analysis with data
  4. 6.4Statistical trend analysis
  5. 6.5KPI anomaly detection
  6. 6.6Market benchmarking
  7. 6.7Operating cost (OPEX) analysis
  8. 6.8Reporting to management and owners
  9. 6.9Periodic review of targets
  10. 6.10Practice: benchmarking five sister vessels
  1. 7.1User needs ashore and onboard
  2. 7.2User-centred design
  3. 7.3Training and data literacy
  4. 7.4Data-driven decision-making culture
  5. 7.5Performance review meetings
  6. 7.6Communicating results to crew
  7. 7.7Measuring adoption
  8. 7.8Continuous improvement of the dashboard
  9. 7.9Ethical and responsible use of data
  10. 7.10Practical case: KPI implementation in a ship manager
  1. 8.1Defining users and objectives
  2. 8.2KPI selection
  3. 8.3Data integration and cleansing
  4. 8.4Prototype design
  5. 8.5Dashboard development
  6. 8.6User testing
  7. 8.7Deployment plan
  8. 8.8Adoption indicators
  9. 8.9Report and presentation
  10. 8.10Final review with the tutor
Methodology, software & labs

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 Power BI, Tableau, Grafana, Python (pandas), SQL, in free, academic or evaluation versions. The exercises draw on real procedures for designing dashboards with real fleet data, benchmarking of sister vessels and workshops with users of the operations centre. Assessment is continuous by module, plus the final integrative project.

Accredited laboratories(EN ISO/IEC 17025) with rotor test bench, EMC/Lightning pre-compliance, HIL/SIL, vibration/acoustics.
Evidence-oriented final project:safety case, test plan, compliance dossier and operating limits.
Industry-mentored:lecturers with experience in training, , eVTOL/UAM and flight test.
Flexible format(hybrid/online), international cohorts and support from SEIUM Career Services.
Ethics and safety:a safety-by-design approach, OT cybersecurity, DIH and compliance as its pillars.
Capstone project

Build it end to end

Your final project follows the real engineering workflow, step by step, reviewed by your tutor.

Defining users and objectives

Identify the operational data sources of a fleet.

KPI selection

Define fleet KPIs with clear calculation criteria.

Data integration and cleansing

Apply principles of effective data visualisation.

Prototype design

Build dashboards with business intelligence tools.

Dashboard development

Design the operations of a fleet operations centre.

Career opportunities

Where this takes you

Fleet performance analystFleet operations centre managerMaritime data engineerPerformance superintendentBusiness intelligence consultantEnvironmental reporting manager
Admissions & scholarships

Requirements

  • Prior technical training or professional experience in the sector. No university degree is required.
  • Internet connection and a computer capable of running the programme's software.
  • A level of Spanish sufficient 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.

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FAQ

Frequently asked questions

The programme comprises 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.

The programme uses Power BI, Tableau, Grafana, Python (pandas), SQL. 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 integrative project. It is in-house training, not an official qualification from the Ministry.

Yes. Modules passed in a course or diploma in the same area are credited towards the advanced programme. Check the credit transfer policy when you enrol.

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