Diploma in Risk Management and Regulatory Documentation
Online postgraduate diploma of 800 hours in risk management and regulatory documentation: 8 modules covering AI risk management, the European AI regulatory framework, risk assessment and treatment, the quality management system, regulatory technical documentation, regulated sectors, and post-market monitoring and continuous improvement, with an assigned technical tutor.
Diploma in Risk Management and Regulatory Documentation — studying from Australia
Data, artificial intelligence and simulation are central to Australian industries including mining, banking, health, agriculture and government. Organisations use machine learning, digital twins and advanced analytics to improve productivity, asset performance and decision making. National science agency CSIRO, along with universities and a growing start-up ecosystem, drives research and applied innovation. Australia has also developed national AI ethics principles, making responsible design an important professional consideration. Engineers in this area typically work for technology firms, consultancies, research organisations and large enterprises.
Fees for Australia: A$1,740 (AUD), with instalments and employer sponsorship available.
Relevant bodies in Australia
Typical roles
Questions from Australia
Which Australian bodies recognise data and AI engineering skills?
Engineers Australia and the Australian Computer Society (ACS) are the main professional bodies, and the ACS runs a skills assessment for migration purposes. SEIUM's private qualifications are not accredited by either. Whether a private qualification is valued is decided by the employer or the relevant body.
What data and AI careers exist in Australia for this training?
Australia has demand for data scientists, AI engineers and simulation analysts across finance, health, mining, government and technology firms. Employers mainly assess your portfolio, technical skills and results. A SEIUM qualification may support your profile, but each employer decides its relevance.
Can I study this online from Australia while working?
Yes, the programmes are fully online and taught in English, and no student visa is needed to study from home. Specialist courses are 300 hours, postgraduate diplomas 800 and master's 1,900, with an assigned technical tutor and a final project. Fees can be paid 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
Apply the ISO 31000 and ISO/IEC 23894 processes to AI systems.
Classify AI systems under the European regulation.
Assess and treat technical, ethical and fundamental rights risks.
Design a quality management system in line with ISO/IEC 42001.
Prepare the technical documentation required for high-risk systems.
Adapt risk management to specific regulated sectors.
Plan post-market monitoring and continuous improvement.
Who it's for
- AI compliance officers.
- Technology risk managers.
- Regulatory consultants advising on AI.
- Software quality managers.
- Internal AI auditors.
- Regulatory affairs specialists.
- Engineering or science graduates aiming to enter financial services.
What you'll work with
- Regulation (EU) 2024/1689 on Artificial Intelligence (EU AI Act)
- ISO/IEC 23894:2023 (AI risk management)
- ISO/IEC 42001:2023 (AI management systems)
- ISO 31000:2018 (risk management guidelines)
- NIST AI RMF 1.0 (AI risk management framework)
- ISO/IEC 5338:2023 (AI system life cycle processes)
- ISO 14971:2019 (risk management for medical devices)
- Regulation (EU) 2016/679 (GDPR) (General Data Protection Regulation)
- OneTrust
- IBM watsonx.governance
- Confluence
- Jira
8 modules
1.1ISO 31000 principles applied to AI1.2The ISO/IEC 23894 process1.3NIST AI RMF functions1.4Identifying hazards and harms1.5Risks to fundamental rights1.6Risk appetite and tolerance1.7Stakeholders and context1.8The AI risk register1.9Integration with corporate risk management1.10Workshop: risk register for a recruitment system
2.1Structure of Regulation (EU) 2024/16892.2Prohibited AI practices2.3Classification of high-risk systems2.4Obligations of providers and deployers2.5General-purpose AI models2.6Application timeline2.7Harmonised standards and common specifications2.8Relationship with the GDPR and sector legislation2.9Penalties and market surveillance authorities2.10Case study: risk classification of five systems
3.1Qualitative and quantitative analysis3.2Likelihood and severity matrices3.3Failure mode analysis in AI3.4Assessing bias and discrimination3.5Cybersecurity risks in models3.6Technical and organisational mitigation measures3.7Residual risk and acceptance3.8Human oversight as a measure3.9Fundamental rights impact assessment3.10Practical exercise: risk treatment for a credit model
4.1Requirements of Article 17 of the AI Act4.2The ISO/IEC 42001 management system4.3ISO/IEC 5338 life cycle processes4.4Data management and governance4.5Change and version control4.6Managing suppliers and components4.7Quality indicators4.8Corrective and preventive actions4.9Internal audits of the quality system4.10Workshop: process map of an AI provider
5.1Content of Annex IV of the AI Act5.2System description and intended purpose5.3Documentation of data and governance5.4Performance metrics and limitations5.5Instructions for use for deployers5.6Model cards and datasheets for datasets5.7Automatic logging and traceability5.8EU declaration of conformity5.9Document management and versioning5.10Practical exercise: technical file for a high-risk system
6.1Medical device software and ISO 149716.2IEC 62304 and clinical validation6.3AI in financial services6.4AI in human resources6.5AI in critical infrastructure6.6CE-marked products with embedded AI6.7Applicable cybersecurity requirements6.8Post-market monitoring system6.9Reporting serious incidents6.10Case study: technical file for AI-based medical software
7.1Post-market monitoring plan7.2Risk indicators and alerts7.3Drift and performance monitoring7.4Managing incidents and complaints7.5Reassessment after substantial modifications7.6Relationship with market surveillance authorities7.7Transparent risk communication7.8AI training and literacy7.9Management review7.10Case study: monitoring plan for a customer service chatbot
8.1System description and context8.2Justified regulatory classification8.3Risk identification and analysis8.4Treatment plan and controls8.5Structure of the quality system8.6Summary technical file8.7Post-market monitoring plan8.8Conclusions and accepted risks8.9Report 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 the intake, so it fits around your job.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is OneTrust, IBM watsonx.governance, Confluence and Jira, in free, academic or evaluation versions. Testing is studied on real procedures: preparing technical files for high-risk systems, fundamental rights impact assessments and post-market monitoring plans. Assessment is continuous by module, plus the final capstone project.
Standards covered: Regulation (EU) 2024/1689 on Artificial Intelligence, ISO/IEC 23894:2023, ISO/IEC 42001:2023, ISO 31000:2018, NIST AI RMF 1.0, ISO/IEC 5338:2023, ISO 14971:2019, Regulation (EU) 2016/679 (GDPR).
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 OneTrust, IBM watsonx.governance, Confluence and Jira, 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 programme 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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