Diploma in Data Sharing, Marketplaces and Monetisation Models
Online postgraduate diploma of 800 hours in data sharing, marketplaces and monetisation models. 8 modules covering the data economy, the Data Act and Data Governance Act, data spaces, marketplaces, monetisation models, privacy-enhancing technologies and data product governance, with an assigned technical tutor.
Diploma in Data Sharing, Marketplaces and Monetisation Models — studying from New Zealand
Engineering management and technology policy roles are important across New Zealand, particularly in infrastructure, energy, primary industries and the technology sector, which is concentrated in Auckland and Wellington. Organisations such as the Ministry of Business, Innovation and Employment shape innovation policy, while Callaghan Innovation supports research commercialisation and industrial development. Professionals in this field usually combine technical knowledge with project governance, procurement and strategic planning for large public and private organisations.
Fees for New Zealand: NZ$2,160 (New Zealand dollar), with instalments and employer sponsorship available.
Relevant bodies in New Zealand
Typical roles
Questions from New Zealand
Do New Zealand professional bodies recognise business or technology policy qualifications for engineers?
Engineering New Zealand regulates engineering registration, including Chartered Professional Engineer status, and focuses on engineering competence rather than management study alone. Other relevant bodies include professional institutes for management and project leadership. SEIUM's qualifications are private, not state degrees, and not accredited by any national body, so their standing is determined by the employer or relevant body.
Where do engineers with management and technology policy skills work in New Zealand?
Typical employers include government agencies, infrastructure and energy organisations, consultancies, and technology companies needing leaders who understand both engineering and policy. Advancement often depends on experience, results and professional networks. A private programme can add credibility to a CV, but it does not guarantee promotion or a particular role.
Can I manage this study alongside a job and get my employer to pay?
The programmes are online and in English, so you can study from New Zealand without a student visa. Specialist courses take 300 hours, postgraduate diplomas 800 hours and master's programmes 1,900 hours, each with an assigned technical tutor and a final project. Fees are payable in instalments, and employer sponsorship is possible. Plan a realistic weekly schedule before enrolling.
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
Analyse the economic value of data.
Apply the European legal framework for data sharing.
Design architectures for sovereign data spaces.
Set up data products for marketplaces.
Define sustainable monetisation models.
Incorporate privacy-enhancing technologies.
Govern data products with quality and traceability.
Who it's for
- Data product managers.
- Data strategists.
- Data space architects.
- Legal advisers working on data contracts and compliance.
- Monetisation analysts.
- Data partnership managers building data ecosystems.
- Engineering or science graduates looking to enter the mobility and transport sector.
What you'll work with
- Regulation (EU) 2023/2854 Data Act (access to and use of data)
- Regulation (EU) 2022/868 Data Governance Act (data intermediaries and re-use)
- Regulation (EU) 2016/679 GDPR (personal data protection)
- Directive (EU) 2019/1024 (open data and public-sector information)
- ISO/IEC 25012 (data quality model)
- Directive (EU) 2016/943 (protection of trade secrets)
- IDSA RAM 4 (reference architecture for data spaces)
- Eclipse Dataspace Connector
- Snowflake Marketplace
- Databricks
- Collibra
- Python
8 modules
1.1Data as an economic asset1.2Economic characteristics of data1.3Network effects and platforms1.4Data value chains1.5Personal and non-personal data1.6Industrial and mobility data1.7The European data strategy1.8Sectoral data spaces1.9Barriers to data sharing1.10Case study: data assets of a logistics operator
2.1The European Data Act2.2The Data Governance Act2.3GDPR and lawful bases2.4Anonymisation and pseudonymisation2.5Re-use of public-sector data2.6Competition law and sharing agreements2.7Protection of trade secrets2.8Data-sharing contracts2.9The Commission's model clauses2.10Workshop: business-to-business data-sharing contract
3.1The IDSA reference architecture3.2The Gaia-X initiative and federated services3.3Connectors and data sovereignty3.4Catalogues and metadata3.5Usage policies and their enforcement3.6Identity and trust3.7The European mobility data space3.8Catena-X in the automotive sector3.9Semantic interoperability and common vocabularies3.10Laboratory: deploying an Eclipse EDC connector
4.1Types of marketplaces4.2Actors: providers, consumers and intermediaries4.3Marketplace functions4.4Quality and description of data products4.5Data usage licences4.6Payment mechanisms4.7Reputation and trust4.8Existing marketplace cases4.9Requirements for data intermediaries4.10Practical exercise: designing a data product
5.1Direct sale of data5.2Data as a service and APIs5.3Derived analytics services5.4Internal data monetisation5.5Subscription and usage-based models5.6Revenue sharing in ecosystems5.7Pricing data5.8Valuation of data assets5.9Cannibalisation risks5.10Workshop: data business model for a manufacturer
6.1Differential privacy techniques6.2Secure multi-party computation6.3Cross-organisation federated learning6.4Homomorphic encryption and its limits6.5Synthetic data generation6.6Trusted environments and clean rooms6.7Re-identification risk assessment6.8Governance of data use6.9Technology selection6.10Practical exercise: generating synthetic data
7.1Data product life-cycle management7.2Data quality agreements7.3Lineage and traceability7.4Documentation and metadata7.5Support and versioning7.6Usage and value metrics7.7Incident management7.8Ethics of data use7.9Organising the data team7.10Case study: data product dashboard
8.1Selecting the business case8.2Data inventory8.3Legal analysis of the case8.4Designing the technical architecture8.5Designing the data product8.6Monetisation model8.7Governance plan8.8Conclusions and areas for improvement8.9Report and presentation8.10Final project: final review with your 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 the programme fits around your job.
Each module combines theory, guided reading of the original regulation and applied exercises. The working software is Eclipse Dataspace Connector, Snowflake Marketplace, Databricks, Collibra and Python, in free, academic or evaluation versions. Practical work is based on real procedures: deploying a data space connector, designing a licensed data product and analysing re-identification risk. Assessment is continuous by module plus the final project.
Standards covered: Regulation (EU) 2023/2854 Data Act, Regulation (EU) 2022/868 Data Governance Act, Regulation (EU) 2016/679 GDPR, Directive (EU) 2019/1024 on open data, ISO/IEC 25012, Directive (EU) 2016/943 on trade secrets, IDSA Reference Architecture Model 4.
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 Eclipse Dataspace Connector, Snowflake Marketplace, Databricks, Collibra and Python, 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 suitable computer 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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