Course in Ethics in Big Data Applied to Defence
Online 300-hour course in ethics in big data applied to defence. 6 modules covering Regulation (EU) 2016/679 (GDPR), Organic Law 3/2018 (LOPDGDD) and Apache Hadoop. Assigned tutor and open enrolment.
Course in Ethics in Big Data Applied to Defence — studying from Australia
Defence is one of Australia's largest engineering employers, with major programmes in land systems, naval platforms, aircraft and integrated systems managed through the Department of Defence. Land systems engineering supports armoured vehicles, weapons and logistics equipment, often through prime contractors and local industry partners. Industry involvement is strongly encouraged through the Defence industry policy framework. Engineers work on sustainment, capability development, systems integration and safety assurance, typically in Canberra, Adelaide, Melbourne and regional defence precincts.
Fees for Australia: A$868 (AUD), with instalments and employer sponsorship available.
Relevant bodies in Australia
Typical roles
Questions from Australia
How does defence engineering recognition work in Australia?
Defence engineering in Australia is largely run through the Department of Defence and its industry partners, which set their own security clearance and qualification requirements. Engineers Australia is the professional body for accreditation. SEIUM's private qualifications are not accredited by these bodies, so recognition is for employers or the relevant body to decide.
Which Australian employers hire in defence and land systems?
Australia has defence prime contractors, the Department of Defence, and specialist land systems firms. Many of these roles require Australian security clearances, which depend on citizenship and background checks rather than course completion. Ask employers how they weigh private qualifications against experience and clearance requirements.
Is the course manageable with a job, and does it need a visa?
The programmes are 100% online and taught in English, so you can study from Australia without a student visa. Specialist courses take 300 hours, diplomas 800 and master's 1,900. An assigned technical tutor supports you, fees are payable in instalments, and employer sponsorship may be possible.
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
Describe the uses of big data in defence and its value chain.
Apply the privacy and data protection framework to defence systems.
Identify biases and ethical risks in data analysis.
Design data governance and security policies.
Assign responsibilities and human oversight mechanisms.
Assess the quality and integrity of the data used.
Produce an ethical assessment of a defence data system.
Who it's for
- Data engineer who wants to specialise in Ethics in Big Data Applied to Defence.
- Data governance manager who wants to specialise in Ethics in Big Data Applied to Defence.
- Data protection officer who wants to specialise in Ethics in Big Data Applied to Defence.
- Cybersecurity analyst who wants to specialise in Ethics in Big Data Applied to Defence.
- Big data architect who wants to specialise in Ethics in Big Data Applied to Defence.
- Information systems auditor who wants to specialise in Ethics in Big Data Applied to Defence.
- Graduates in engineering or science looking to enter the defence sector.
What you'll work with
- Regulation (EU) 2016/679 (GDPR)
- Organic Law 3/2018 (LOPDGDD)
- Royal Decree 311/2022 (National Security Framework)
- ISO/IEC 27701 (privacy management)
- ISO/IEC 20547 (big data reference architecture)
- ISO 8000 (data quality)
- ISO/IEC 27001 (information security)
6 modules · 300 h
1.1The five Vs of big data1.2Data sources in defence: sensors, satellites and networks1.3Open-source intelligence (OSINT)1.4Multi-source data fusion1.5Data architectures: lakes and platforms1.6Predictive analytics in logistics and maintenance1.7Data-driven situational awareness1.8Data in cyber defence1.9European defence data projects1.10Practical case: data architecture of a command centre
2.1GDPR and the national security exclusion2.2Directive (EU) 2016/680 and police processing2.3Organic Law 7/20212.4Personal data in OSINT2.5Anonymisation and pseudonymisation2.6Re-identification and data combination2.7Social media data and metadata2.8Mass surveillance and European case law2.9Data protection impact assessment2.10Workshop: impact assessment of an OSINT project
3.1Consent and reasonable expectations3.2Bias in data and predictive models3.3Profiling of individuals and groups3.4Discrimination and use of sensitive data3.5Opacity of models3.6Proportionality and necessity3.7Effects on the civilian population3.8Research ethics with conflict data3.9Humanitarian data and the do-no-harm principle3.10Practice: ethical analysis of a risk prediction model
4.1Data governance in defence organisations4.2Data quality and lineage4.3Information classification and access control4.4Data sovereignty and defence cloud4.5European data spaces4.6Cybersecurity of data platforms4.7Data retention and destruction4.8Access auditing and traceability4.9Data sharing with allies4.10Laboratory: designing an access control model
5.1Parliamentary and judicial oversight5.2Data protection authorities5.3Transparency and accountability5.4Technology companies as suppliers5.5Public procurement of data platforms5.6Academic research with defence data5.7Codes of conduct for analysts5.8Whistleblowing5.9Lessons from known surveillance cases5.10Practical case: analysis of the Snowden revelations
6.1Selection of the big data system6.2Data sources and flows6.3Legal analysis of data protection6.4Ethical risk assessment6.5Governance and security measures6.6Oversight mechanisms6.7Design recommendations6.8Monitoring plan6.9Report and presentation6.10Final 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 timetable: students progress at their own pace within the intake, which makes it possible to combine the programme with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is Apache Hadoop, Apache Kafka, Elasticsearch, Power BI, Python (pandas), in free, academic or evaluation versions. Practical exercises are based on real procedures for data protection impact assessments, data governance audits and big data use-case analysis. Assessment is continuous by module, plus the final integrative project.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Describe the uses of big data in defence and its value chain.
Apply the privacy and data protection framework to defence systems.
Identify biases and ethical risks in data analysis.
Design data governance and security policies.
Assign responsibilities and human oversight mechanisms.
Where this takes you
Requirements
- No prior qualification 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.
Frequently asked questions
The programme comprises 300 hours in total, spread over 3 to 5 months. That is an average of 10 to 15 hours a week, compatible with full-time work.
The programme uses Apache Hadoop, Apache Kafka, Elasticsearch, Power BI, Python (pandas). Free, academic or evaluation versions are used, and the tutor indicates the open-source alternative where one exists.
A SEIUM Institute diploma upon passing the continuous assessment and the final integrative project. It is in-house training, not an official Ministry qualification.
Yes. Modules passed in a Course or Postgraduate Diploma in the same area are credited towards the advanced programme. Check the credit transfer policy when you enrol.
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