Diploma in Ethics in the Use of Advanced Sensors
Online postgraduate diploma of 800 hours in Ethics in the Use of Advanced Sensors. 8 modules covering advanced sensors, ethical foundations, the legal framework (GDPR, Directive (EU) 2016/680, the EU AI Act), bias and accuracy, impact assessment, privacy by design and governance, with an assigned technical tutor.
Diploma in Ethics in the Use of Advanced Sensors — 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
Typical roles
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.
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 capabilities and limits of advanced sensors.
Analyse the ethical dilemmas of technological perception and surveillance.
Apply data protection and artificial intelligence regulations.
Assess bias, accuracy and transparency in sensor-based systems.
Carry out ethical and data protection impact assessments.
Integrate privacy-by-design principles.
Propose governance frameworks for the responsible use of sensors.
Who it's for
- Technology ethics specialists.
- Data protection officers.
- Sensor engineers who want to address the ethical side of their work.
- Technology legal advisers.
- Privacy researchers.
- AI compliance managers.
- Engineering or science graduates seeking to enter the defence sector.
What you'll work with
- Regulation (EU) 2016/679 (GDPR)
- Directive (EU) 2016/680 (data protection in criminal matters)
- Regulation (EU) 2024/1689 (Artificial Intelligence Act)
- European Convention on Human Rights, Article 8
- IEEE 7000-2021 (ethical concerns during system design)
- ISO/IEC 23894 (AI risk management)
- Additional Protocol I to the Geneva Conventions, Article 36 (review of new weapons)
- NVivo
- Python (Fairlearn)
- Zotero
- Miro
8 modules
1.1Optical and hyperspectral sensors1.2Thermal imaging1.3Radar and lidar1.4Acoustic sensors1.5Biometrics and recognition1.6Sensors on drones and satellites1.7Data fusion and AI1.8Actual capabilities versus public perception1.9Civil and military uses1.10Case study: capabilities of a multi-sensor system
2.1Privacy as a value2.2Autonomy and dignity2.3Surveillance and power2.4Information ethics2.5Proportionality and necessity2.6Dual use of sensors2.7The engineer's responsibility2.8Ethics of research with data2.9Cultural perspectives2.10Workshop: ethical analysis of a surveillance deployment
3.1The GDPR and its principles3.2The Law Enforcement Data Protection Directive3.3The Artificial Intelligence Act3.4Prohibited and high-risk systems3.5Article 8 of the ECHR3.6European case law3.7International humanitarian law and sensors3.8Private security regulations3.9Video surveillance in Spain3.10Practical exercise: classifying a system under the AI Act
4.1Sources of bias in data4.2Differential performance across groups4.3Fairness metrics4.4False positives and their consequences4.5Independent evaluation4.6Robustness to adverse conditions4.7Explainability4.8Model documentation4.9Human oversight4.10Lab: detecting bias in a classifier
5.1Data protection impact assessment5.2Fundamental rights impact assessment5.3The IEEE 7000 process5.4Risk management with ISO/IEC 238945.5Involvement of affected people5.6Mitigation measures5.7Periodic review5.8Public reporting5.9Assessment tools5.10Practical exercise: impact assessment of a sensor system
6.1Data minimisation6.2Edge processing6.3Anonymisation and pseudonymisation6.4Encryption and access control6.5Limited retention6.6Differential privacy6.7Transparency towards affected people6.8Privacy-respecting architectures6.9Privacy certifications6.10Case study: redesigning a system with privacy by design
7.1Ethics committees7.2Independent oversight7.3Use policies7.4Responsible public procurement7.5Export of surveillance technologies7.6Operator training7.7Accountability7.8Public participation7.9International good practice7.10Workshop: responsible sensor use policy
8.1System selection8.2Capability analysis8.3Applicable legal framework8.4Ethical assessment8.5Bias assessment8.6Privacy measures8.7Governance proposal8.8Final opinion8.9Report 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. There are no fixed timetables: you progress at your own pace within each intake, so the programme fits around your job.
Each module combines theory, guided reading of the original regulation and applied exercises. The working software is NVivo, Python (Fairlearn), Zotero and Miro, in free, academic or evaluation versions. Practical work is based on real procedures: a data protection impact assessment of a sensor system, the ethical analysis of a surveillance deployment and detecting bias in a classifier. Assessment is continuous by module, plus the final project.
Standards covered: Regulation (EU) 2016/679 (GDPR), Directive (EU) 2016/680, Regulation (EU) 2024/1689 (AI Act), ECHR Article 8, IEEE 7000-2021, ISO/IEC 23894, Additional Protocol I to the Geneva Conventions, Article 36.
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.
- 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.
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 NVivo, Python (Fairlearn), Zotero and Miro, 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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