Course in Ethics in AI Integration in Land Vehicles
Online course of 300 h in ethics in AI integration in land vehicles. 6 modules with UL 4600 (safety of autonomous products), ISO 26262 (functional safety of vehicles) and ROS 2. Assigned tutor and open enrolment.
Course in Ethics in AI Integration in Land Vehicles — studying from Malta
Malta's defence sector is comparatively small, reflecting the country's neutrality and modest armed forces. Activity centres on the Armed Forces of Malta, maritime surveillance, border security and the associated technical support. Engineering roles are mostly found in equipment maintenance, communications, infrastructure and government procurement rather than large-scale defence manufacturing. Professionals may find opportunities through public service and contractors supplying the armed forces and related agencies, where reliability and compliance with national procurement rules are important.
Fees for Malta: €743 (Euro), with instalments and employer sponsorship available.
Relevant bodies in Malta
Typical roles
Questions from Malta
Which bodies regulate defence and military engineering work in Malta?
Malta's Armed Forces and the Ministry responsible for defence oversee military engineering and procurement. General engineering practice is regulated by the Chamber of Engineers (KSU) under the Engineering Profession Act. Export and dual-use controls follow EU and national rules. A SEIUM qualification is private and not accredited, so any recognition depends on employers or the relevant authority.
What career paths exist in Malta for land systems and defence engineering?
Opportunities in Malta are limited and mostly within government, the Armed Forces and their suppliers, with more substantial defence industry work typically found abroad. Many roles require security clearance and specific experience. A private qualification can support your profile, but you should expect employers to focus on experience and clearance eligibility.
How do I study this from Malta, and what should I consider about workload and funding?
The programme is delivered fully online in English, with an assigned technical tutor and a final project. You do not need a visa to study from home in Malta. Durations range from 300 to 1,900 hours, so plan time alongside any work commitments. Ask about instalment payments and whether employer sponsorship is available.
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
Describe AI architectures in unmanned land vehicles.
Apply functional safety standards and SOTIF to autonomous functions.
Analyse the interaction of the vehicle with people in its environment.
Determine legal responsibilities in failures of autonomous systems.
Identify data biases and cybersecurity threats.
Define scenario-based validation strategies.
Develop a responsible AI integration project for a UGV.
Who it's for
- Autonomous vehicle engineer who wants to specialise in ethics in AI integration in land vehicles.
- Functional safety engineer who wants to specialise in ethics in AI integration in land vehicles.
- AI validation specialist who wants to specialise in ethics in AI integration in land vehicles.
- Mobile robotics engineer who wants to specialise in ethics in AI integration in land vehicles.
- Vehicle cybersecurity analyst who wants to specialise in ethics in AI integration in land vehicles.
- Adviser on ethics of autonomous systems who wants to specialise in ethics in AI integration in land vehicles.
- Graduates in engineering or science looking to enter the automotive sector.
What you'll work with
- UL 4600 (safety of autonomous products)
- ISO 26262 (functional safety of vehicles)
- ISO 21448 (SOTIF, safety of the intended functionality)
- IEC 61508 (functional safety)
- UN Regulation No. 155 (vehicle cybersecurity)
- Additional Protocol I, Art. 36 (review of new weapons)
- ISO/IEC 23894 (AI risk management)
6 modules · 300 h
1.1SAE J3016 levels of automation1.2Unmanned ground vehicles (UGV)1.3Perception: cameras, lidar and radar1.4Path planning in unstructured terrain1.5Teleoperation and supervised autonomy1.6Conversion kits for manned vehicles1.7Autonomous logistics and convoys1.8Civil applications: mining and agriculture1.9Status of European UGV programmes1.10Workshop: functional architecture of a logistics UGV
2.1ISO 26262 applied to special vehicles2.2ISO 21448 and the intended functionality2.3Scenario-based validation2.4Simulation and testing on test track2.5Detection of pedestrians and people on the terrain2.6Behaviour upon sensor failure2.7Safe states and emergency stop2.8Certification of AI components2.9Acceptable residual risk2.10Laboratory: catalogue of off-road test scenarios
3.1Coexistence with troops and civilians3.2Signalling vehicle intentions3.3Operator trust and overtrust3.4Workload in teleoperation3.5Human factors in autonomous convoys3.6Accessibility and training3.7Reaction to population in operating areas3.8Communication in noisy environments3.9User-centred design3.10Practice: human factors assessment of a convoy
4.1Liability for accidents involving autonomous vehicles4.2Liability of the manufacturer and the operator4.3DIH and armed autonomous vehicles: debate4.4Reviews under Article 36 of Protocol I4.5Meaningful human control in vehicles4.6Event data recorders4.7Product liability directive4.8Traffic regulations for military vehicles4.9Use on national territory and domestic security4.10Case study: accident involving a logistics UGV during an exercise
5.1Training data across diverse terrains5.2Detection bias by clothing and environment5.3Cybersecurity under ISO/SAE 214345.4Adversarial attacks on perception5.5Remote software updates5.6Model lifecycle management5.7Privacy of data captured while driving5.8Interoperability with allies5.9Independent algorithm auditing5.10Workshop: bias analysis in a person detector
6.1Definition of mission and vehicle6.2Autonomy architecture6.3Functional safety analysis6.4Scenario-based validation plan6.5Human factors assessment6.6Legal and liability analysis6.7Cybersecurity plan6.8Final ethical assessment6.9Report and presentation6.10Final review with the tutor
How you'll learn
100 % online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. No fixed timetables: students progress at their own pace within the intake, which makes it possible to combine it with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is ROS 2, Gazebo, CARLA, MATLAB/Simulink, in free, academic or evaluation versions. Trials are studied using real procedures for simulating autonomous driving scenarios, test tracks for unmanned vehicles and functional safety analysis. Assessment is continuous per 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.
Describe AI architectures in unmanned land vehicles.
Apply functional safety standards and SOTIF to autonomous functions.
Analyse the interaction of the vehicle with people in its environment.
Determine legal responsibilities in failures of autonomous systems.
Identify data biases and cybersecurity threats.
Where this takes you
Requirements
- No prior degree is 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 is 300 hours in total, spread over 3 to 5 months. That is between 10 and 15 hours a week on average, compatible with a full-time job.
The course uses ROS 2, Gazebo, CARLA, MATLAB/Simulink. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.
An in-house SEIUM diploma upon passing the continuous assessment and the integrating project. It is in-house training, not an official Ministry qualification.
Yes. Modules passed in a course or postgraduate diploma in the same area are recognised in the advanced programme. Check the recognition policy when enrolling.
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