Diploma in Ethics in the Coordination of Autonomous Systems
Online postgraduate diploma of 800 hours in ethics in the coordination of autonomous systems. 8 modules covering multi-agent systems and swarms, responsibility in collective decisions, the legal framework, human supervision, verification of emergent behaviour, cybersecurity and ethical governance, with an assigned technical tutor.
Diploma in Ethics in the Coordination of Autonomous Systems — studying from Singapore
Singapore maintains a comprehensive defence sector through the Ministry of Defence and the Defence Science and Technology Agency, which develops military technologies and manages procurement. Engineering work covers land systems, ammunition, command and control, and simulation. Industry partners include ST Engineering, which supplies defence and security systems globally. Engineers here work within strict security and export control frameworks, often combining systems integration with reliability and safety engineering.
Fees for Singapore: S$2,560 (Singapore dollar), with instalments and employer sponsorship available.
Relevant bodies in Singapore
Typical roles
Questions from Singapore
How does defence engineering work in Singapore, and which bodies oversee it?
Singapore's defence engineering is largely centred on the Ministry of Defence (MINDEF) and DSTA, the defence procurement and development agency, along with the Singapore Armed Forces. Engineers may register with the Professional Engineers Board (PEB). SEIUM's qualifications are private, not state degrees, and not accredited by any national body, so recognition for defence roles depends on the employer or relevant authority.
Who employs defence and land systems engineers in Singapore?
Main employers include MINDEF, DSTA, the SAF, and defence industry companies including ST Engineering. Access to many roles requires security clearance and citizenship or residency rules, so check eligibility early. Employers focus on proven competence and clearance status. Your final project can illustrate technical capability, but it does not replace these requirements.
Is the course manageable alongside a job, and can employers fund it?
The programme is fully online and taught in English, with an assigned technical tutor. Plan for a heavy workload: 1,900 hours for a master's, 800 for a postgraduate diploma, or 300 for a specialist course. Fees are payable in instalments, and employer sponsorship is possible, which is common in defence-linked organisations, though approval is up to them.
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
Understand the coordination architectures of multi-agent systems and swarms.
Analyse the attribution of responsibility in automated collective decisions.
Apply the international and European legal framework to cooperative autonomous systems.
Design human supervision schemes for groups of autonomous platforms.
Verify safety properties of emergent behaviour using formal methods.
Evaluate the cyber-resilience of distributed systems and its ethical implications.
Propose ethical governance frameworks for cooperative autonomy programmes.
Who it's for
- Multi-agent systems engineers.
- Specialists in the ethics of autonomy seeking to work on cooperative systems.
- Verification and validation analysts.
- AI governance consultants.
- Human-machine interaction engineers designing supervision interfaces.
- Cybersecurity analysts for autonomous systems.
- Engineering or science graduates seeking to enter the defence sector.
What you'll work with
- Convention on Certain Conventional Weapons (CCW, 1980) (international framework restricting certain weapons, including the LAWS debate)
- Additional Protocol I to the Geneva Conventions, Art. 36 (legal review of new weapons and means of warfare)
- IEEE 7000-2021 (addressing ethical concerns during system design)
- Regulation (EU) 2024/1689 (EU Artificial Intelligence Act)
- ISO/IEC 23894:2023 (AI risk management)
- IEC 61508 (functional safety of electrical/electronic/programmable systems)
- US DoD Directive 3000.09 (autonomy in weapon systems)
- ROS 2
- Gazebo
- UPPAAL
- MATLAB/Simulink
- NetLogo
8 modules
1.1Centralised, distributed and hybrid architectures1.2Emergent behaviour in swarms1.3Distributed consensus and coordination algorithms1.4Multi-robot task allocation1.5Inter-agent communication and fault tolerance1.6Manned-unmanned teaming (MUM-T)1.7Interoperability between heterogeneous platforms1.8Predictability versus adaptability1.9Scalability and loss of supervision1.10Lab: simulation of a swarm in Gazebo
2.1Attribution of responsibility in distributed systems2.2The problem of many hands2.3Responsibility of the designer, the operator and the commander2.4Unprogrammed emergent decisions2.5Accountability in automated chains2.6Moral delegation in groups of machines2.7Responsibility of suppliers and integrators2.8Shared civil liability and insurance2.9Doctrine of command responsibility2.10Case study: allocation of responsibilities after a failure
3.1International humanitarian law applied to swarms3.2The GGE debate on LAWS within the CCW3.3Legal review of cooperative systems3.4High-risk systems under the European AI Act3.5Defence exclusions in European regulation3.6Liability for defective products3.7Regulation of the radio spectrum3.8Civil regulations for multi-UAS operations3.9Political declarations and soft law3.10Workshop: legal review of a swarm concept
4.1Mission-level versus platform-level control4.2Interfaces for supervising dozens of agents4.3Collective situational awareness4.4Operator-to-platform ratio and cognitive load4.5Intervention, withdrawal and overriding of orders4.6Alerts and exception management4.7Visualisation of group intentions4.8Training of hybrid teams4.9Measuring trust in the team4.10Practical exercise: prototype of a supervision interface
5.1Formal specification of safety properties5.2Model checking in multi-agent systems5.3Monte Carlo simulation of scenarios5.4Scenario-based testing and edge cases5.5Runtime monitoring and safety shields5.6Validation of consensus algorithms5.7Incremental testing in controlled environments5.8Certification of adaptive software5.9Epistemic uncertainty in validation5.10Lab: verification of a protocol with UPPAAL
6.1Attacks on inter-agent communication6.2Compromised agents and Byzantine fault tolerance6.3Spoofing of position data6.4Resilience to link degradation6.5Authentication and lightweight encryption6.6Safe behaviour on loss of link6.7Threat modelling with STRIDE6.8Penetration testing in distributed systems6.9Ethical implications of vulnerability6.10Case study: threat analysis of a cooperative fleet
7.1Value Sensitive Design in cooperative systems7.2Ethical requirements according to IEEE 70007.3Risk management of distributed AI7.4Traceability and audit logs7.5Transparency towards command and society7.6Decision gates and review boards7.7Metrics of acceptable behaviour7.8NATO principles of responsible AI7.9Lessons from international swarm programmes7.10Workshop: ethical requirements matrix
8.1Choice of the coordination scenario8.2Modelling of the multi-agent system8.3Identification of emergent ethical risks8.4Proposed human supervision scheme8.5Verification and validation plan8.6Cyber-resilience measures8.7Responsibility and traceability framework8.8Conclusions and recommendations8.9Report and presentation8.10Final project: final 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: you progress at your own pace within the intake, so the programme can be combined with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is ROS 2, Gazebo, UPPAAL, MATLAB/Simulink and NetLogo, in free, academic or evaluation versions. Practical work is based on real procedures: swarm simulations with human supervision, formal verification of consensus protocols and threat analyses of cooperative fleets. Assessment is continuous by module, plus the final project.
Standards covered: Convention on Certain Conventional Weapons (CCW, 1980), Additional Protocol I to the Geneva Conventions (Art. 36), IEEE 7000-2021, Regulation (EU) 2024/1689 (AI Act), ISO/IEC 23894:2023, IEC 61508 and US Department of Defense Directive 3000.09.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Where this takes you
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 software.
- English sufficient to read technical standards.
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 800 hours over 6–8 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.
You work with ROS 2, Gazebo, UPPAAL, MATLAB/Simulink and NetLogo, using free, academic or evaluation versions. Your tutor indicates the free alternative wherever one exists.
A SEIUM Institute diploma, awarded on passing the continuous assessment and the final project. It is SEIUM's own qualification, not an official state degree; its recognition depends on the programme completed and the regulations of each country.
Yes. Modules passed are recognised in a higher programme in the same area (postgraduate diploma or master's). Ask about the recognition policy when you enrol.
Prior technical training or professional experience in the sector (no university degree required), a suitable computer and English sufficient to read technical standards.
Start dates are set by SEIUM's faculty for each intake. Our admissions team will confirm the next available date when you apply.
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