Postgraduate DiplomaDefense, Military Engineering & Land Systems Applications open

Diploma in Ethics of Resilient Autonomy in Combat

Online postgraduate diploma of 800 hours in ethics of resilient autonomy in combat: 8 modules covering autonomy in degraded environments, applied ethical theories, the legal framework, human control under adverse conditions, testing and evaluation, systemic risk and institutional governance, under US DoD Directive 3000.09, Additional Protocol I to the Geneva Conventions and the CCW, with an assigned technical tutor.

Duration6–8 months
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma

Diploma in Ethics of Resilient Autonomy in Combat — studying from Canada

Canada's defence sector is centred on procurement and sustainment through the Department of National Defence and Defence Research and Development Canada. Industrial activity spans land vehicles, naval systems, avionics and electronics, with firms in Ontario, Québec, Nova Scotia and British Columbia. Companies such as General Dynamics Land Systems Canada and Lockheed Martin Canada are notable employers, alongside a broad base of small and medium suppliers. Engineers work on systems integration, vehicle protection, logistics and sustainment, operating within strict security and export control frameworks.

Fees for Canada: C$2,010 (Canadian dollar), with instalments and employer sponsorship available.

Relevant bodies in Canada

  • Department of National Defence (DND)
  • Defence Research and Development Canada (DRDC)
  • Canadian Association of Defence and Security Industries (CADSI)
  • Public Services and Procurement Canada

Typical roles

  • Defence Systems Engineer
  • Land Systems Engineer
  • Systems Integration Engineer
  • Sustainment Engineer

Questions from Canada

Which Canadian bodies or processes govern defence engineering recognition?

Defence engineering in Canada often involves government procurement and security clearances, and engineers typically hold provincial Professional Engineer licences where a title is required. SEIUM's qualifications are private and not official state degrees or accredited by a national body, so they do not confer licensing or clearance. Recognition is for employers or the relevant body to decide, so verify this first.

Would Canadian defence or land systems employers accept this training?

Canadian defence employers and contractors generally rely on security clearance, licensing and demonstrated experience. A private qualification may support your application, but it is unlikely to replace those requirements, and its acceptance is up to each employer. A SEIUM final project can help show applied skill, so discuss expectations with prospective employers early.

Can I study remotely while working, and what are the costs and language demands?

Yes, the programmes are fully online, so you can study from Canada or elsewhere without a student visa, and fit sessions around work. Specialist courses are 300 hours, postgraduate diplomas 800 and master's 1,900. Teaching is in English, supported by an assigned technical tutor. Fees are payable in instalments, and employer sponsorship may be available.

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Learning outcomes

What you will be able to do

01

Understand the ethical dilemmas of autonomy in degraded environments.

02

Apply ethical theories to design and employment decisions.

03

Analyse the legal framework of resilient autonomy.

04

Design constraints that preserve human control.

05

Define test and evaluation strategies under adverse conditions.

06

Assess systemic and escalation risks.

07

Propose institutional governance frameworks.

Profile

Who it's for

  • Autonomous systems ethics specialists.
  • Test and evaluation analysts.
  • Defence legal advisers.
  • Technology governance consultants.
  • System safety engineers working on autonomous platforms.
  • Researchers in strategic studies.
  • Engineering or science graduates aiming to move into the defence sector.
Standards & tools

What you'll work with

  • US DoD Directive 3000.09 (autonomy in weapon systems)
  • Additional Protocol I to the Geneva Conventions (arts. 36 and 57) (legal review of new weapons and precautions in attack)
  • Convention on Certain Conventional Weapons (CCW, 1980) (international framework for weapons restrictions)
  • IEEE 7000-2021 (addressing ethical concerns during system design)
  • ISO/IEC 23894:2023 (AI risk management)
  • ISO 21448:2022 (safety of the intended functionality (SOTIF))
  • MATLAB/Simulink
  • Gazebo
  • AnyLogic
  • Python
Syllabus

8 modules

  1. 1.1What resilience means in autonomous systems
  2. 1.2Loss of link and default behaviour
  3. 1.3Autonomy as a response to degradation
  4. 1.4The tension between resilience and control
  5. 1.5Predictability under uncertainty
  6. 1.6Fragility of AI models
  7. 1.7Jamming and isolation scenarios
  8. 1.8Command expectations
  9. 1.9Characteristic dilemmas
  10. 1.10Case study: behaviour on loss of link
  1. 2.1The just war tradition
  2. 2.2Individual and collective moral responsibility
  3. 2.3The precautionary principle
  4. 2.4Distribution of risk
  5. 2.5Human dignity
  6. 2.6Military virtue ethics
  7. 2.7Ethics of technology design
  8. 2.8Trust and reliability
  9. 2.9Ethics of technological risk
  10. 2.10Workshop: structured analysis of dilemmas
  1. 3.1Precautions in attack under IHL
  2. 3.2Article 36 legal review
  3. 3.3Predictability from a legal standpoint
  4. 3.4Temporal and geographical restrictions
  5. 3.5Rules of engagement
  6. 3.6Command responsibility
  7. 3.7The debate within the CCW
  8. 3.8International political declarations
  9. 3.9National defence law
  10. 3.10Practical exercise: legal analysis of a degraded mode
  1. 4.1Pre-mission control
  2. 4.2Constraints built into the design
  3. 4.3Time and space limits
  4. 4.4Conditional delegation
  5. 4.5Authorisation interfaces
  6. 4.6Automatic return and abort
  7. 4.7Decision logging
  8. 4.8Operator training
  9. 4.9Simulation of degraded scenarios
  10. 4.10Case study: designing operational constraints
  1. 5.1Test and evaluation of autonomous systems
  2. 5.2Testing in degraded environments
  3. 5.3Adversarial scenarios
  4. 5.4Test coverage
  5. 5.5Robustness of perception
  6. 5.6Formal guarantees
  7. 5.7Continuous in-service evaluation
  8. 5.8Test data management
  9. 5.9Certification of autonomous functions
  10. 5.10Laboratory: test scenario matrix
  1. 6.1Unintended escalation
  2. 6.2Interaction between autonomous systems
  3. 6.3Speed of decision-making
  4. 6.4Cascading errors
  5. 6.5Cyberattacks on autonomy
  6. 6.6Technology proliferation
  7. 6.7Strategic stability
  8. 6.8Confidence-building measures
  9. 6.9Crisis communication
  10. 6.10Workshop: analysis of an escalation scenario
  1. 7.1US DoD Directive 3000.09
  2. 7.2NATO Principles of Responsible Use of AI
  3. 7.3Ethics review boards
  4. 7.4Documenting design decisions
  5. 7.5Accountability
  6. 7.6Institutional transparency
  7. 7.7Continuous ethics training
  8. 7.8Programme auditing
  9. 7.9Lessons from international programmes
  10. 7.10Case study: opinion of a review board
  1. 8.1Selection of the system and scenario
  2. 8.2Analysis of degraded modes
  3. 8.3Ethical assessment
  4. 8.4Legal assessment
  5. 8.5Proposed design constraints
  6. 8.6Test plan
  7. 8.7Governance framework
  8. 8.8Conclusions
  9. 8.9Report and presentation
  10. 8.10Final project: final review with the tutor
Methodology, software & labs

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 each intake, so you can combine it with your job.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is MATLAB/Simulink, Gazebo, AnyLogic and Python, in free, academic or evaluation versions. Practical work is based on real procedures for analysing behaviour on loss of link, degraded-scenario matrices and ethics review board opinions. Assessment is continuous by module, plus the final project.

Standards covered: US DoD Directive 3000.09, Additional Protocol I to the Geneva Conventions (arts. 36 and 57), Convention on Certain Conventional Weapons (CCW, 1980), IEEE 7000-2021, ISO/IEC 23894:2023, ISO 21448:2022.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of US DoD Directive 3000.09, Additional Protocol I to the Geneva Conventions and the CCW applied to real cases, not as a theoretical annex.
Industry software:MATLAB/Simulink, Gazebo, AnyLogic and Python, in free, academic or evaluation versions.
Final project:An ethical, legal and governance assessment of an autonomous system operating in degraded modes, reviewed by your tutor.
Flexible format:100% online, no fixed timetables, compatible with full-time work.
Capstone project

Build it end to end

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

System and scenario selection
Choose an autonomous system and an operational scenario with degraded conditions.
Degraded-mode analysis
Analyse how the system behaves on loss of link, jamming or isolation.
Ethical and legal assessment
Evaluate the system against ethical theories, IHL and Article 36 review.
Design constraints and test plan
Propose constraints that preserve human control and a plan to test them.
Final project
A complete resilience ethics assessment with its governance framework, reviewed by your tutor.
Career opportunities

Where this takes you

Autonomous systems ethics specialistTest and evaluation analystDefence legal adviserTechnology governance consultantSystem safety engineerStrategic studies researcher
Admissions & scholarships

Requirements

  • Prior technical training or professional experience in the sector. No university degree is required.
  • An 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.

FAQ

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 MATLAB/Simulink, Gazebo, AnyLogic and Python, 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 computer able to run the software 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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