Postgraduate Diploma in Anonymisation, Pseudonymisation and Consent
Online 800-hour Postgraduate Diploma in Anonymisation, Pseudonymisation and Consent. 8 modules covering Regulation (EU) 2016/679 (GDPR), Organic Law 3/2018 (LOPDGDD) and ARX Data Anonymization Tool. Assigned tutor and open enrolment.
Postgraduate Diploma in Anonymisation, Pseudonymisation and Consent — studying from Australia
Health technology and biomechanics are growing areas in Australia, supported by a strong medical research sector and an established medical device industry. Wearable devices and occupational safety systems are increasingly used in mining, construction and healthcare. Medical devices are regulated nationally, requiring engineers to understand conformity, risk management and clinical evaluation. Employers include medical device manufacturers, hospitals, research institutes such as those affiliated with universities, and workplace safety consultancies.
Fees for Australia: A$2,050 (AUD), with instalments and employer sponsorship available.
Relevant bodies in Australia
Typical roles
Questions from Australia
Will a SEIUM qualification be recognised by Engineers Australia or other professional bodies for this area?
SEIUM qualifications are private qualifications and are not accredited by Engineers Australia or any other national body. Recognition is decided by individual employers and, where relevant, by the professional body assessing your application. Engineers Australia assesses skills and experience independently, so check directly with the body you hope to join before enrolling.
Which Australian employers might value this training in health, biomechanics or wearable safety work?
Employers in Australian medical device firms, rehabilitation services, workplace health and safety teams and wearable technology companies may consider advanced engineering training when hiring. Whether they value a private qualification depends on each employer's own policy and on your existing experience. Speaking with prospective employers about how they view private qualifications is a sensible step.
Can I study this alongside full-time work in Australia, and is employer funding possible?
The programmes are 100% online and taught in English, so you can study from any time zone, including Australian time zones, around your work hours. Fees are payable in instalments, and employer sponsorship is possible; ask your employer whether they fund training. Plan for the workload of 300 to 1,900 hours depending on the programme, and confirm the schedule with SEIUM.
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
Classify personal health data and its special categories.
Interpret the lawful bases for processing health data under the GDPR.
Apply pseudonymisation techniques with secure key management.
Implement anonymisation techniques such as k-anonymity, l-diversity and differential privacy.
Quantitatively assess the re-identification risk of a dataset.
Design informed, broad and dynamic consent models.
Establish a governance framework with privacy-enhancing technologies.
Who it's for
- Data protection officers who want to specialise in Anonymisation, Pseudonymisation and Consent.
- Health data privacy specialists who want to specialise in Anonymisation, Pseudonymisation and Consent.
- Privacy engineers who want to specialise in Anonymisation, Pseudonymisation and Consent.
- Clinical data analysts who want to specialise in Anonymisation, Pseudonymisation and Consent.
- Regulatory compliance consultants who want to specialise in Anonymisation, Pseudonymisation and Consent.
- Data governance managers who want to specialise in Anonymisation, Pseudonymisation and Consent.
- Engineering or science graduates seeking to enter the public and private healthcare sectors.
What you'll work with
- Regulation (EU) 2016/679 (GDPR)
- Organic Law 3/2018 (LOPDGDD)
- ISO/IEC 20889 (de-identification techniques)
- ISO 25237 (health informatics, pseudonymisation)
- ISO/IEC 27701 (privacy information management)
- Regulation (EU) 2025/327 (European Health Data Space)
- HIPAA Privacy Rule (USA)
8 modules · 800 h
1.1Health data and special categories under the GDPR1.2Genetic and biometric data1.3Direct and indirect identifiers1.4Quasi-identifiers and re-identification risk1.5Well-known re-identification cases1.6Wearable and location data1.7European Health Data Space1.8Secondary use for research1.9Role of the DPO and the ethics committee1.10Case study: identifier inventory of a clinical dataset
2.1GDPR: lawful bases for processing2.2Recital 26 and anonymous data2.3Pseudonymisation in Article 4(5)2.4LOPDGDD and its seventeenth additional provision2.5AEPD guidelines on anonymisation2.6Opinion 05/2014 of the WP292.7HIPAA: Safe Harbor and Expert Determination2.8International transfers2.9Accountability2.10Practice: legal basis analysis of a study using health data
3.1Tokenisation and correspondence tables3.2Salted hash functions and HMAC3.3Deterministic encryption3.4Key management and separation of duties3.5Trusted third parties3.6Multi-centre pseudonymisation3.7Privacy-preserving record linkage3.8ENISA recommendations3.9Residual risks3.10Workshop: HMAC pseudonymisation of a patient record
4.1Suppression and generalisation4.2k-anonymity4.3l-diversity and t-closeness4.4Microaggregation4.5Noise and perturbation4.6Differential privacy4.7Synthetic data4.8Tools: ARX and sdcMicro4.9Utility loss and its measurement4.10Practice: k-anonymisation of a dataset with ARX
5.1Attacker models: prosecutor, journalist and prosecutor5.2Risk metrics5.3Risk in longitudinal data5.4Risk in signals and images5.5DICOM de-identification5.6Free text and natural language processing5.7Motivated intruder testing5.8Documentation of the assessment5.9Periodic risk review5.10Laboratory: risk assessment of a published dataset
6.1Informed consent in research6.2Broad and dynamic consent6.3Consent in apps and wearables6.4Withdrawal of consent6.5Minors and persons with limited capacity6.6Designing comprehensible forms6.7Electronic consent management6.8Interoperability with FHIR Consent6.9Consent auditing6.10Practice: designing a digital consent workflow
7.1Data protection impact assessment7.2Privacy by design7.3Secure processing environments7.4Federated learning7.5Multiparty computation and homomorphic encryption7.6Data access agreements7.7Records of processing activities7.8Data access committees7.9Breach notification7.10Case study: secure environment for a multicentre study
8.1Dataset description and purpose8.2Legal analysis8.3Identification of quasi-identifiers8.4Pseudonymisation strategy8.5Anonymisation techniques8.6Risk and utility assessment8.7Consent design8.8Governance plan8.9Report and presentation8.10Final 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. There are 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 ARX Data Anonymization Tool, sdcMicro (R), Python (pandas), Amnesia, in free, academic or evaluation versions. The practical work is based on real procedures from data protection impact assessments, re-identification risk analyses and documentary consent audits. Assessment is continuous, module 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.
Classify personal health data and its special categories.
Interpret the lawful bases for processing health data under the GDPR.
Apply pseudonymisation techniques with secure key management.
Implement anonymisation techniques such as k-anonymity, l-diversity and differential privacy.
Quantitatively assess the re-identification risk of a dataset.
Where this takes you
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.
- A sufficient level of 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 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 programme uses ARX Data Anonymization Tool, sdcMicro (R), Python (pandas) and Amnesia. Free, academic or evaluation versions are used, and the tutor indicates the open-source alternative where one exists.
A SEIUM own diploma upon passing the continuous assessment and the final 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 can be recognised towards the advanced programme. Check the recognition policy when you enrol.
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