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CourseAerospace, UAM, Drones & Space Enrolment open

Course in Ethics in Navigation Artificial Intelligence

Online 300-hour course in ethics in navigation artificial intelligence. 6 modules with the International Regulations for Preventing Collisions at Sea (COLREG, 1972), IMO Interim Guidelines for trials of autonomous ships (MSC.1/Circ.1604) and ROS 2 (Nav2). Assigned tutor and open enrolment.

Duration300 h
ModeOnline
Start datesOctober / March
LocationEurope (Madrid)
AwardSEIUM Institute diploma
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Learning outcomes

What you will be able to do

01

Describe AI-based autonomous navigation methods.

02

Apply safety and validation approaches to navigation functions.

03

Analyse ethical decisions in collision-risk situations.

04

Manage the privacy of data captured by sensors.

05

Identify dual-use implications and their regulation.

06

Assess compliance with existing navigation rules.

07

Design a responsible autonomous navigation system.

Profile

Who it's for

  • Autonomous navigation engineer who wants to specialise in Ethics in navigation artificial intelligence.
  • Guidance, navigation and control engineer who wants to specialise in Ethics in navigation artificial intelligence.
  • Validation specialist for autonomous systems who wants to specialise in Ethics in navigation artificial intelligence.
  • Sensor fusion engineer who wants to specialise in Ethics in navigation artificial intelligence.
  • Maritime safety analyst who wants to specialise in Ethics in navigation artificial intelligence.
  • Regulatory consultant for autonomous systems who wants to specialise in Ethics in navigation artificial intelligence.
  • Graduates in engineering or sciences seeking to enter the maritime sector.
Standards & tools

What you'll work with

  • International Regulations for Preventing Collisions at Sea (COLREG, 1972)
  • IMO Interim Guidelines for trials of autonomous ships (MSC.1/Circ.1604)
  • UL 4600 (safety of autonomous products)
  • ISO 21448 (SOTIF)
  • DO-178C (software in airborne systems)
  • Regulation (EU) 2021/821 (dual use)
  • Regulation (EU) 2016/679 (GDPR)
Syllabus

6 modules · 300 h

  1. 1.1Navigation problem: localisation and planning
  2. 1.2Visual and lidar SLAM
  3. 1.3Fusion of GNSS, inertial and vision
  4. 1.4Navigation without GNSS
  5. 1.5Route planning: A*, RRT and MPC
  6. 1.6Reinforcement learning for navigation
  7. 1.7End-to-end neural networks
  8. 1.8High-definition maps
  9. 1.9Maritime, aerial and land navigation
  10. 1.10Laboratory: SLAM with a public dataset
  1. 2.1Perception and localisation failures
  2. 2.2Robustness to weather conditions
  3. 2.3GNSS and visual spoofing attacks
  4. 2.4ISO 21448 and triggering conditions
  5. 2.5Scenario-based validation and simulation
  6. 2.6Edge-case coverage
  7. 2.7Runtime monitoring
  8. 2.8Degraded modes and safe return
  9. 2.9Certification of AI components in aviation
  10. 2.10Practice: edge-case analysis of a planner
  1. 3.1Risk to third parties on the route
  2. 3.2Unavoidable collision dilemmas
  3. 3.3Critiques of the trolley problem
  4. 3.4Navigation rules: COLREG and aviation regulations
  5. 3.5Priority of lives over property
  6. 3.6Fairness in risk distribution
  7. 3.7Transparency of decision criteria
  8. 3.8German Ethics Commission on automated driving
  9. 3.9Designer responsibility
  10. 3.10Workshop: ethical rules for an autonomous ship
  1. 4.1Sensors that capture the environment and people
  2. 4.2Maps as sensitive data
  3. 4.3GDPR and automated driving
  4. 4.4Trajectory and location data
  5. 4.5Data sharing across fleets
  6. 4.6Anonymisation of navigation images
  7. 4.7Security of maps in defence
  8. 4.8Sovereignty of geospatial data
  9. 4.9Retention and deletion
  10. 4.10Case study: maps of a fleet in a military zone
  1. 5.1Civil and military autonomous navigation
  2. 5.2Export control of navigation systems
  3. 5.3Regulation (EU) 2024/1689 and high-risk systems
  4. 5.4IMO regulation for MASS
  5. 5.5EASA AI roadmap
  6. 5.6Liability for defective products
  7. 5.7Insurance and autonomous vehicles
  8. 5.8Accident investigation
  9. 5.9Algorithm governance
  10. 5.10Practice: regulatory matrix for an autonomous drone
  1. 6.1Selection of the vehicle and domain
  2. 6.2Navigation architecture
  3. 6.3Risk analysis and edge cases
  4. 6.4Ethical decision rules
  5. 6.5Data privacy plan
  6. 6.6Regulatory analysis
  7. 6.7Validation plan
  8. 6.8Final ethical assessment
  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 lectures and an assigned technical tutor. No fixed timetable: students progress at their own pace within the intake, which makes it possible to combine with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is ROS 2 (Nav2), MATLAB (Navigation Toolbox), Gazebo, Python (PyTorch), in free, academic or evaluation versions. Trials are studied through real autonomous navigation simulation procedures, collision-avoidance scenario analysis and sensor data audits. Assessment is continuous across modules, plus the final integrating project.

Accreditable laboratories(EN ISO/IEC 17025) with a rotor test rig, EMC/Lightning pre-compliance, HIL/SIL, vibration/acoustics.
Evidence-oriented Master's Thesis:safety case, test plan, compliance dossier and operational limits.
Industry-mentored:lecturers with a track record in 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, IHL and compliance as pillars.
Capstone project

Build it end to end

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

Selection of the vehicle and domain

Describe AI-based autonomous navigation methods.

Navigation architecture

Apply safety and validation approaches to navigation functions.

Risk analysis and edge cases

Analyse ethical decisions in collision-risk situations.

Ethical decision rules

Manage the privacy of data captured by sensors.

Data privacy plan

Identify dual-use implications and their regulation.

Career opportunities

Where this takes you

Autonomous navigation engineerGuidance, navigation and control engineerValidation specialist for autonomous systemsSensor fusion engineerMaritime safety analystRegulatory consultant for autonomous systems
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 comprises 300 hours in total, spread over 3 to 5 months. That is an average of 10 to 15 hours per week, compatible with a full-time job.

Work is carried out with ROS 2 (Nav2), MATLAB (Navigation Toolbox), Gazebo, Python (PyTorch). Free, academic or evaluation versions are used, and the tutor indicates the open-source alternative where one exists.

An in-house SEIUM Institute diploma upon passing 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 higher programme. Check the recognition policy when you enrol.

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