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Postgraduate Diploma in Ethics of Care and Technology Acceptance

Online 800-hour Postgraduate Diploma in Ethics of Care and Technology Acceptance. 8 modules covering ISO 13482 (personal care robots), BS 8611 (ethical robot design) and NVivo. 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

Explain the fundamentals of the ethics of care.

02

Apply technology acceptance models such as TAM and UTAUT.

03

Analyse the use of robotics and care technologies.

04

Assess the impact of technology on privacy and autonomy.

05

Measure acceptance using qualitative and quantitative methods.

06

Integrate principles of ethical and inclusive design.

07

Plan the responsible implementation of technology in care services.

Profile

Who it's for

  • Technology ethics specialist looking to specialise in Ethics of Care and Technology Acceptance.
  • Gerontechnology researcher looking to specialise in Ethics of Care and Technology Acceptance.
  • Social and healthcare innovation manager looking to specialise in Ethics of Care and Technology Acceptance.
  • Care technology designer looking to specialise in Ethics of Care and Technology Acceptance.
  • Digital transformation consultant for care looking to specialise in Ethics of Care and Technology Acceptance.
  • Human-robot interaction researcher looking to specialise in Ethics of Care and Technology Acceptance.
  • Graduates in engineering or sciences seeking to enter social and healthcare services.
Standards & tools

What you'll work with

  • ISO 13482 (personal care robots)
  • BS 8611 (ethical robot design)
  • IEEE 7000-2021 (system design with ethical considerations)
  • Regulation (EU) 2024/1689 (Artificial Intelligence Act)
  • Regulation (EU) 2016/679 (GDPR)
  • UN Convention on the Rights of Persons with Disabilities
  • Law 39/2006 (Personal Autonomy and Dependency)
Syllabus

8 modules · 800 h

  1. 1.1Origins of the ethics of care: Gilligan and Noddings
  2. 1.2Vulnerability, dependence and interdependence
  3. 1.3Dignity and relational autonomy
  4. 1.4Formal and informal care: roles and burdens
  5. 1.5Moral dimension of assistive technologies
  6. 1.6Paternalism versus respect for preferences
  7. 1.7Nussbaum and Sen's capabilities approach
  8. 1.8Justice in access to care technology
  9. 1.9Gender perspective in care
  10. 1.10Case study: dilemmas in home telecare
  1. 2.1TAM model: perceived usefulness and ease of use
  2. 2.2TAM2 and TAM3: determinants of acceptance
  3. 2.3UTAUT and UTAUT2 theories
  4. 2.4STAM model for older people
  5. 2.5Rogers' diffusion of innovations
  6. 2.6Self-efficacy and technology anxiety
  7. 2.7Digital divide and ageism
  8. 2.8Acceptance by professionals and carers
  9. 2.9Abandonment of assistive products
  10. 2.10Practice: analysis of a UTAUT questionnaire
  1. 3.1Social robots: PARO, Pepper and others
  2. 3.2Assistive robots for mobility and transfers
  3. 3.3Ambient sensors and ambient assisted living (AAL)
  4. 3.4Advanced telecare and fall detection
  5. 3.5Voice assistants for older people
  6. 3.6Monitoring of activity and sleep
  7. 3.7AI in frailty prediction
  8. 3.8Deception, attachment and simulated affection
  9. 3.9Substitution versus complement to human care
  10. 3.10Case study: social robot in a care home
  1. 4.1Surveillance and continuous monitoring at home
  2. 4.2Consent for people with cognitive impairment
  3. 4.3Decision-making support and Law 8/2021
  4. 4.4Advance directives and care planning
  5. 4.5Health data and GDPR in care contexts
  6. 4.6Geolocation of people with dementia
  7. 4.7Technological restraints and containment
  8. 4.8Right not to use technology
  9. 4.9Balancing security and freedom
  10. 4.10Workshop: consent protocol for home monitoring
  1. 5.1Designing technology acceptance studies
  2. 5.2Validated scales: SUS, QUEST and PIADS
  3. 5.3Interviews and focus groups with older adults
  4. 5.4Ethnographic observation in the home
  5. 5.5Usage diaries and interaction logs
  6. 5.6Indicators of adoption and abandonment
  7. 5.7Mixed-methods evaluation
  8. 5.8Biases in research with older populations
  9. 5.9Structural equation models in acceptance
  10. 5.10Practice: designing a telecare acceptance study
  1. 6.1Value-sensitive design
  2. 6.2Participatory design and co-design with users
  3. 6.3Accessibility: EN 301 549 and WCAG guidelines
  4. 6.4Design for sensory and cognitive decline
  5. 6.5Personalisation and interface adaptability
  6. 6.6Transparency towards older users
  7. 6.7MEESTAR ethical evaluation model
  8. 6.8Ethical impact assessment in design
  9. 6.9Iteration based on feedback
  10. 6.10Workshop: co-design session with older people
  1. 7.1Organisation of social and healthcare services
  2. 7.2Person-centred integrated care
  3. 7.3Training carers in technologies
  4. 7.4Organisational change in care homes and home help
  5. 7.5Funding models and sustainability
  6. 7.6Outcomes in quality of life
  7. 7.7Scaling and replicating pilots
  8. 7.8Clinical ethics committees
  9. 7.9European active ageing policies
  10. 7.10Case study: sensors in a home help service
  1. 8.1Selecting the context and technology
  2. 8.2User and carer needs
  3. 8.3Prior ethical assessment
  4. 8.4Intervention design
  5. 8.5Acceptance evaluation plan
  6. 8.6Consent and privacy protocol
  7. 8.7Implementation and training plan
  8. 8.8Outcome indicators
  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 possible to combine study with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is NVivo, ATLAS.ti, IBM SPSS Statistics, Qualtrics, R, in free, academic or evaluation versions. Case studies are based on real procedures from acceptance studies using TAM and UTAUT questionnaires, focus groups with people receiving care and carers, and implementation pilots in care centres. Assessment is continuous per module, plus the final integrating project.

Accredited laboratories(EN ISO/IEC 17025) with rotor test rig, EMC/Lightning pre-compliance, HIL/SIL, vibration/acoustics.
Evidence-oriented thesis:safety case, test plan, compliance dossier and operational limits.
Industry mentoring:lecturers with a track record 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, cyber-OT, DIH and compliance as core pillars.
Capstone project

Build it end to end

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

Selecting the context and technology

Explain the fundamentals of the ethics of care.

User and carer needs

Apply technology acceptance models such as TAM and UTAUT.

Prior ethical assessment

Analyse the use of robotics and care technologies.

Intervention design

Assess the impact of technology on privacy and autonomy.

Acceptance evaluation plan

Measure acceptance using qualitative and quantitative methods.

Career opportunities

Where this takes you

Technology ethics specialistGerontechnology researcherSocial and healthcare innovation managerCare technology designerDigital transformation consultant for careHuman-robot interaction researcher
Admissions & scholarships

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's software.
  • Sufficient Spanish to follow technical regulatory reading.

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 totals 800 hours, spread over 6 to 8 months. That averages between 10 and 15 hours per week, compatible with a full-time job.

The programme works with NVivo, ATLAS.ti, IBM SPSS Statistics, Qualtrics, R. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.

An SEIUM own diploma upon passing the continuous assessment and the integrating project. It is in-house training, not an official qualification from the Ministry.

Yes. Modules passed in a course or diploma in the same area can be credited towards the advanced programme. Consult the credit transfer policy when you enrol.

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