Diploma in Multi-Stakeholder Governance and Risk Assessment
Online postgraduate diploma of 800 hours in multi-party governance and risk assessment, with 8 modules covering data and AI governance, multi-party ecosystems, the European legal framework, shared risk assessment, decision and control mechanisms, assurance and audit and ecosystem sustainability, with an assigned technical tutor.
Diploma in Multi-Stakeholder Governance and Risk Assessment — studying from Canada
Canada is a recognised centre for artificial intelligence research, with hubs in Toronto, Montréal and Edmonton supported by institutes such as the Vector Institute, Mila and Amii. Engineering teams across manufacturing, energy, finance and transport apply simulation, machine learning and data analytics to real operational problems. The federal government's Pan-Canadian AI Strategy and privacy regulation shape how organisations handle data. Typical employers include technology firms, banks, aerospace and automotive companies, and public research bodies.
Fees for Canada: C$2,790 (Canadian dollar), with instalments and employer sponsorship available.
Relevant bodies in Canada
Typical roles
Questions from Canada
Do Canadian bodies recognise data or AI qualifications from private institutes?
Data and AI roles in Canada are generally not licensed in the way engineering is, so recognition depends on employers and professional communities rather than a regulator. Engineering licensing through provincial associations applies only to engineering titles. SEIUM's qualifications are private, not official state degrees and not accredited by a national body, so employers decide how much weight to give them.
Do Canadian employers hire for data and AI skills, and would this help?
Canada has a large and active data and AI sector, with notable hubs in Toronto, Montreal and Vancouver, and employers hire widely for these skills. They usually look first at portfolios, technical interviews and proven projects. A SEIUM final project can demonstrate your ability, but a private qualification's value is decided by each employer, so present it alongside concrete work.
Is this manageable with a job, and what level of English is needed?
Because the programmes are fully online, you can study from home around your job, and no student visa is needed. Specialist courses are 300 hours, postgraduate diplomas 800 and master's 1,900, so plan your weekly time. Teaching is in English, so strong written and reading English is important. Instalment payments and possible employer sponsorship can help with funding.
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 data and AI governance frameworks based on ISO/IEC standards.
Design multi-party ecosystems and data spaces.
Interpret the European legal framework for data and artificial intelligence.
Assess shared risks and allocate responsibilities.
Set up governing bodies and decision and control mechanisms.
Organise assurance and audit across several parties.
Plan the sustainability and value sharing of the ecosystem.
Who it's for
- Data governance leads responsible for shared data initiatives.
- Regulatory compliance consultants advising on data and AI regulation.
- Technology risk managers dealing with third-party and supply-chain risk.
- Data space architects building federated sharing infrastructures.
- Technology lawyers who need a working grasp of multi-party governance.
- Innovation consortium coordinators managing several partners.
- Engineering or science graduates aiming to enter the public sector.
What you'll work with
- Regulation (EU) 2022/868 (Data Governance Act)
- Regulation (EU) 2023/2854 (Data Act)
- Regulation (EU) 2016/679 – GDPR (EU data protection regulation)
- Regulation (EU) 2024/1689 (Artificial Intelligence Act)
- ISO/IEC 38505-1:2017 (governance of data)
- ISO/IEC 38507:2022 (governance implications of AI)
- ISO/IEC 23894:2023 (AI risk management)
- ISO/IEC 42001:2023 (AI management systems)
- Eclipse Dataspace Components
- Collibra
- OneTrust
- Open Policy Agent
8 modules
1.1Governance and management concepts1.2Data governance under ISO/IEC 38505-11.3AI governance under ISO/IEC 385071.4Accountability principles1.5Maturity models1.6Owner and custodian roles1.7Internal policies and standards1.8Relationship with corporate governance1.9Governance indicators1.10Workshop: governance map of an organisation
2.1Data consortia and alliances2.2European data spaces2.3IDSA and Gaia-X architectures2.4Data intermediaries2.5Data trusts and cooperatives2.6Shared AI platforms2.7AI value chain models2.8Providers, integrators and users2.9Conflicts of interest2.10Practical: design of a sectoral data space
3.1Data Governance Act3.2Data Act3.3GDPR and joint controllership under Article 263.4AI Act and the value chain3.5Liability for defective products3.6Intellectual property and trade secrets3.7Competition law in data sharing3.8Data sharing contracts3.9Standard contractual clauses3.10Case study: joint controllership agreement in a consortium
4.1Identifying risks along the chain4.2Third-party and supplier risks4.3Multi-party risk matrices4.4RACI allocation of responsibilities4.5Concentration and dependency risks4.6Security risks in data sharing4.7Shared reputational risks4.8Assessment under ISO/IEC 238944.9Risk treatment and transfer4.10Practical: risk matrix for a shared platform
5.1Consortium governing bodies5.2Decision and voting rules5.3Technical and ethics committees5.4Policy-based access control5.5Smart contracts and usage policies5.6Traceability and audit logs5.7Dispute resolution5.8Managing member onboarding and exit5.9Transparency towards affected parties5.10Case study: internal rules of a data space
6.1Joint and third-party audits6.2ISO/IEC 27001 and ISO/IEC 42001 certifications6.3Shared compliance evidence6.4Key risk indicators6.5Continuous control monitoring6.6Incident management between parties6.7Notification to authorities6.8Independent review of the model6.9Improving the governance model6.10Case study: audit of an external AI provider
7.1Business models and value sharing7.2Incentives for participation7.3Interoperability and open standards7.4Trust and reputation7.5Inclusion of SMEs and civil society7.6Ethics and fundamental rights7.7Scaling governance7.8Lessons from existing data spaces7.9Exit strategy and portability7.10Case study: value sharing in a mobility consortium
8.1Definition of the ecosystem and actors8.2Applicable legal analysis8.3Data sharing architecture8.4Shared risk assessment8.5Governing bodies and decision rules8.6Controls and audit8.7Sustainability model8.8Implementation roadmap8.9Report 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 each intake, so it can be combined with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is Eclipse Dataspace Components, Collibra, OneTrust and Open Policy Agent, in free, academic or evaluation versions. Real procedures are studied: designing sectoral data spaces, drafting joint controllership agreements and assessing risks in shared AI platforms. Assessment is continuous by module plus the final integrative project.
Standards covered: Regulation (EU) 2022/868 (Data Governance Act), Regulation (EU) 2023/2854 (Data Act), Regulation (EU) 2016/679 (GDPR), Regulation (EU) 2024/1689 (AI Act), ISO/IEC 38505-1:2017, ISO/IEC 38507:2022, ISO/IEC 23894:2023, ISO/IEC 42001:2023.
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's 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 Eclipse Dataspace Components, Collibra, OneTrust and Open Policy Agent, 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 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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