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Postgraduate Diploma in Governance and Digital Ethics Committees

Online 800-hour Postgraduate Diploma in Governance and Digital Ethics Committees. 8 modules covering Regulation (EU) 2024/1689 (Artificial Intelligence Act), Regulation (EU) 2016/679 (GDPR) and Miro. Assigned tutor and open enrolment.

Duration800 h
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma
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Learning outcomes

What you will be able to do

01

Apply digital ethics principles to real technology decisions.

02

Compare digital governance models and their accountability structures.

03

Design the composition and rules of a digital ethics committee.

04

Lead deliberation processes and issue reasoned opinions.

05

Interpret the European regulatory framework on AI and data.

06

Assess the ethical impact of a technology before its deployment.

07

Promote an ethical culture through internal communication and training.

Profile

Who it's for

  • Digital ethics officer looking to specialise in Governance and Digital Ethics Committees.
  • Technical secretary of an ethics committee looking to specialise in Governance and Digital Ethics Committees.
  • AI governance consultant looking to specialise in Governance and Digital Ethics Committees.
  • Data protection officer looking to specialise in Governance and Digital Ethics Committees.
  • Technology regulatory compliance manager looking to specialise in Governance and Digital Ethics Committees.
  • Algorithmic risk analyst looking to specialise in Governance and Digital Ethics Committees.
  • Graduates in engineering or science seeking to join technology companies.
Standards & tools

What you'll work with

  • Regulation (EU) 2024/1689 (Artificial Intelligence Act)
  • Regulation (EU) 2016/679 (GDPR)
  • ISO/IEC 42001 (AI management systems)
  • ISO/IEC 38500 (IT governance)
  • IEEE 7000-2021 (ethical considerations in system design)
  • UNESCO Recommendation on the Ethics of Artificial Intelligence (2021)
  • Regulation (EU) 2022/2065 (Digital Services Act)
Syllabus

8 modules · 800 h

  1. 1.1Principles of beneficence, autonomy, justice and non-maleficence
  2. 1.2Ethics of technology versus ethics of data
  3. 1.3European Commission ethics guidelines for trustworthy AI
  4. 1.4UNESCO Recommendation on the Ethics of AI
  5. 1.5Ethical dilemmas in digital health and wearables
  6. 1.6Privacy, surveillance and user autonomy
  7. 1.7Fairness, bias and algorithmic discrimination
  8. 1.8Responsibility and accountability
  9. 1.9Ethics by design and value-sensitive design
  10. 1.10Case study: dilemmas of a workplace monitoring wearable
  1. 2.1Corporate governance versus data governance
  2. 2.2The three lines model
  3. 2.3Roles: board, management, DPO and AI officer
  4. 2.4Acceptable use policies for technology
  5. 2.5IT governance according to ISO/IEC 38500
  6. 2.6AI management system according to ISO/IEC 42001
  7. 2.7Data governance: ownership, quality and lineage
  8. 2.8Third-party and technology supplier management
  9. 2.9Governance maturity indicators
  10. 2.10Workshop: RACI map of roles and responsibilities
  1. 3.1Types of committees: research, clinical care and digital
  2. 3.2Multidisciplinary composition and profiles
  3. 3.3Independence and management of conflicts of interest
  4. 3.4Mandate, scope and internal regulations
  5. 3.5Relationship with research ethics committees
  6. 3.6Position in the organisational chart and reporting lines
  7. 3.7Resources, technical secretariat and budget
  8. 3.8Training of committee members
  9. 3.9External committees and advisory panels
  10. 3.10Workshop: drafting the regulations of a digital committee
  1. 4.1Case request and admission process
  2. 4.2Ethical deliberation methods
  3. 4.3Assessment matrices and checklists
  4. 4.4Decision-making: consensus and voting
  5. 4.5Opinions, recommendations and conditions
  6. 4.6Minutes, traceability and records
  7. 4.7Monitoring of issued recommendations
  8. 4.8Confidentiality and transparency of the committee
  9. 4.9Managing disagreements and appeals
  10. 4.10Practice: simulation of a deliberative session
  1. 5.1General Data Protection Regulation in healthcare
  2. 5.2European AI Regulation: risk levels
  3. 5.3Obligations for high-risk AI systems
  4. 5.4Medical Devices Regulation MDR 2017/745
  5. 5.5European Health Data Space
  6. 5.6Digital Services Act and Data Act
  7. 5.7NIS2 Directive and cybersecurity
  8. 5.8LOPDGDD and AI oversight in Spain
  9. 5.9Codes of conduct and certifications
  10. 5.10Case study: risk classification of a health app
  1. 6.1Algorithmic impact assessment
  2. 6.2Fundamental rights impact assessment
  3. 6.3Bias auditing and fairness metrics
  4. 6.4Explainability and transparency towards the user
  5. 6.5Dynamic informed consent
  6. 6.6Assessment of health technologies with an ethical dimension
  7. 6.7Patient and user participation
  8. 6.8Supplier and contract assessment
  9. 6.9Monitoring impacts after deployment
  10. 6.10Practice: ethical assessment of a triage algorithm
  1. 7.1Ethical codes and technology conduct codes
  2. 7.2Whistleblowing channels and Law 2/2023
  3. 7.3Staff training and awareness
  4. 7.4Ethical leadership and management example
  5. 7.5Public communication and reputational crises
  6. 7.6Transparency reports and sustainability reports
  7. 7.7Ethical culture metrics
  8. 7.8Relations with regulators and civil society
  9. 7.9Lessons from international ethical failures
  10. 7.10Workshop: designing an ethics training plan
  1. 8.1Organisational diagnosis
  2. 8.2Digital ethical risk map
  3. 8.3Governance structure design
  4. 8.4Establishment and rules of the committee
  5. 8.5Case assessment procedures
  6. 8.6Communication and training plan
  7. 8.7Monitoring indicators
  8. 8.8Implementation roadmap
  9. 8.9Report and presentation
  10. 8.10Final review with the tutor
Methodology, software & labs

How you'll learn

Training 100% online 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 compatible with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is Miro, Python (Fairlearn), IBM AI Fairness 360, Notion, in free, academic or evaluation versions. Case work is based on real procedures from simulated ethics committee deliberations, ethical impact assessments of algorithms, and reviews of technology use cases. Assessment is continuous per module plus the final integrative project.

Accredited laboratories(EN ISO/IEC 17025) with rotor test rig, EMC/Lightning pre-compliance, HIL/SIL, vibration/acoustics.
Evidence-oriented final project:safety case, test plan, compliance dossier and operational limits.
Industry mentoring:lecturers with experience 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, ciber-OT, DIH 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.

Organisational diagnosis

Apply digital ethics principles to real technology decisions.

Digital ethical risk map

Compare digital governance models and their accountability structures.

Governance structure design

Design the composition and rules of a digital ethics committee.

Establishment and rules of the committee

Lead deliberation processes and issue reasoned opinions.

Case assessment procedures

Interpret the European regulatory framework on AI and data.

Career opportunities

Where this takes you

Digital ethics officerTechnical secretary of an ethics committeeAI governance consultantData protection officerTechnology regulatory compliance managerAlgorithmic risk analyst
Admissions & scholarships

Requirements

  • Prior technical training or professional experience in the sector. A university degree is not 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.

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FAQ

Frequently asked questions

The programme comprises 800 hours in total, spread over 6 to 8 months. That is an average of 10 to 15 hours per week, compatible with a full-time job.

The work is carried out with Miro, Python (Fairlearn), IBM AI Fairness 360, Notion. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.

A SEIUM own diploma upon passing the continuous assessment and the integrative 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 advanced programme. Please check the recognition policy when you enrol.

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