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CourseNaval, Offshore & Sports Nautical Applications open

Course on KPIs and Metrics in Smart Ports

Online 300-hour course on KPIs and metrics in smart ports. 6 modules covering Real Decreto Legislativo 2/2011, GRI Standards and Microsoft Power BI. Assigned tutor and open enrolment.

Duration300 h
ModeOnline
Start datesSet by the faculty
AwardSEIUM Institute certificate
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Learning outcomes

What you will be able to do

01

Design indicator systems aligned with port strategy.

02

Calculate operational indicators for quay, yard and gate.

03

Integrate economic, environmental and social indicators.

04

Structure the data architecture that feeds the indicators.

05

Build dashboards that support decision-making.

06

Compare performance against international benchmarks.

07

Propose a complete indicator system for a port.

Profile

Who it's for

  • Port data analyst wishing to specialise in KPIs and metrics in smart ports.
  • Strategic planning manager wishing to specialise in KPIs and metrics in smart ports.
  • Port management controller wishing to specialise in KPIs and metrics in smart ports.
  • Business intelligence specialist wishing to specialise in KPIs and metrics in smart ports.
  • Sustainability and reporting technician wishing to specialise in KPIs and metrics in smart ports.
  • Port performance consultant wishing to specialise in KPIs and metrics in smart ports.
  • Engineering or science graduates looking to enter port authorities.
Standards & tools

What you'll work with

  • Real Decreto Legislativo 2/2011
  • GRI Standards
  • ISO 14031:2021
  • ISO 50001:2018
  • ISO 14064-1:2018
  • ISO 9001:2015
  • ISO 8000-8:2015
Syllabus

6 modules · 300 h

  1. 1.1Why measure in a port
  2. 1.2Efficiency, effectiveness and quality
  3. 1.3Port authority and terminal indicators
  4. 1.4International reference frameworks
  5. 1.5World Bank CPPI index
  6. 1.6UNCTAD indicators
  7. 1.7Balanced scorecard
  8. 1.8SMART definition of indicators
  9. 1.9Common measurement errors
  10. 1.10Case study: auditing a port's indicators
  1. 2.1Port call and waiting times
  2. 2.2Quay productivity per crane and per vessel
  3. 2.3Berth occupancy
  4. 2.4Yard occupancy and dwell time
  5. 2.5Gate transit time
  6. 2.6Rail terminal performance
  7. 2.7Reliability of nautical and technical services
  8. 2.8Port call efficiency
  9. 2.9Terminal benchmarking
  10. 2.10Workshop: calculating quay indicators using port call data
  1. 3.1Port profitability and EBITDA
  2. 3.2Revenue from dues and concessions
  3. 3.3Investment efficiency
  4. 3.4CO2 emissions per tonne
  5. 3.5Energy consumption and renewables
  6. 3.6ESPO and EcoPorts indicators
  7. 3.7Employment and economic impact
  8. 3.8Occupational accident indicators
  9. 3.9GRI sustainability report
  10. 3.10Practice: ESG indicators of a port authority
  1. 4.1Data sources in connected ports
  2. 4.2Data quality and validation
  3. 4.3ETL integration processes
  4. 4.4Data warehouses and data lakes
  5. 4.5Dimensional modelling of indicators
  6. 4.6Real-time data and IoT
  7. 4.7Indicator dictionary
  8. 4.8Data sharing between stakeholders
  9. 4.9Open data publication
  10. 4.10Laboratory: data model for a dashboard
  1. 5.1Dashboard design
  2. 5.2Time series and comparisons
  3. 5.3Alerts and thresholds
  4. 5.4Predictive analytics of indicators
  5. 5.5Leading congestion indicators
  6. 5.6Reporting to management
  7. 5.7Objectives and incentives
  8. 5.8Data-driven continuous improvement
  9. 5.9Data culture
  10. 5.10Case study: operations director's dashboard
  1. 6.1Port and scope of study
  2. 6.2Process map
  3. 6.3Indicator system
  4. 6.4Indicator sheets
  5. 6.5Data architecture
  6. 6.6Dashboard prototype
  7. 6.7Implementation plan
  8. 6.8Periodic review of indicators
  9. 6.9Report and presentation
  10. 6.10Final review with the tutor
Methodology, software & labs

How you'll learn

Training 100 % online on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. No fixed timetable: 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 Microsoft Power BI, Tableau, Qlik Sense, Grafana, Python with pandas, in free, academic or evaluation versions. The practice work is based on real procedures for designing indicator systems for port authorities, building operational dashboards and benchmarking productivity between terminals. Assessment is continuous per module, plus the final integrating project.

Accreditable laboratories(EN ISO/IEC 17025) with rotor test rig, EMC/Lightning pre-compliance, HIL/SIL, vibration/acoustics.
Evidence-driven Master's Thesis:safety case, test plan, compliance dossier and operating limits.
Industry mentorship:faculty with experience in the training, , eVTOL/UAM and flight test.
Flexible format(hybrid/online), international cohorts and support from SEIUM Career Services.
Ethics and safety:safety-by-design approach, cyber-OT, DIH and compliance as core pillars.
Capstone project

Build it end to end

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

Port and scope of study

Design indicator systems aligned with port strategy.

Process map

Calculate operational indicators for quay, yard and gate.

Indicator system

Integrate economic, environmental and social indicators.

Indicator sheets

Structure the data architecture that feeds the indicators.

Data architecture

Build dashboards that support decision-making.

Career opportunities

Where this takes you

Port data analystStrategic planning managerPort management controllerBusiness intelligence specialistSustainability and reporting technicianPort performance consultant
Admissions & scholarships

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.

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FAQ

Frequently asked questions

The programme totals 300 hours, spread over 3 to 5 months. That is between 10 and 15 hours per week on average, compatible with a full-time job.

The course uses Microsoft Power BI, Tableau, Qlik Sense, Grafana and Python with pandas. Free, academic or evaluation versions are used, and the tutor indicates the free 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. Check the recognition policy when enrolling.

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