Master’s in PropTech/ConTech and Urban Data Regulation (Privacy, Ethics)
Online master's programme of 1,900 hours in PropTech/ConTech and urban data regulation, with a focus on privacy and ethics. 12 modules covering the PropTech and ConTech ecosystems, urban data, data protection, the European data strategy, AI and algorithms, digital platforms, housing and digital construction regulation, cybersecurity, data ethics and corporate compliance, with an assigned technical tutor.
Master’s in PropTech/ConTech and Urban Data Regulation (Privacy, Ethics) — studying from Australia
Australia's infrastructure pipeline is substantial, covering roads, rail, ports, water and urban development across major cities such as Sydney, Melbourne, Brisbane and Perth. Rail engineering is especially active, with projects including Sydney Metro and Melbourne Metro. Smart city initiatives draw on sensors, data platforms and digital twins to improve transport, utilities and public services. Employers include state transport authorities, engineering consultancies such as Aurecon and WSP, and major contractors. Engineers work on design, asset management, construction oversight and sustainability.
Fees for Australia: A$14,200 (AUD), with instalments and employer sponsorship available.
Relevant bodies in Australia
Typical roles
Questions from Australia
Does a SEIUM qualification meet Australian civil engineering registration requirements?
No. Civil engineers in Australia typically need an Engineers Australia accredited degree to pursue Chartered status, and state and territory rail and infrastructure regulators set their own requirements. SEIUM's private qualifications are not accredited by these bodies, so employers or regulators decide how much weight they carry.
Which Australian employers hire in civil, rail and smart cities?
Australia has public infrastructure agencies, rail operators, engineering consultancies and councils working on urban and smart city projects. Employers usually prioritise accredited qualifications, licensing and project experience. Ask potential employers whether a private online qualification would be considered alongside your experience.
Is the course workable alongside work, and what does it cost?
The courses are 100% online and taught in English, so you can study from anywhere in Australia without a student visa. Specialist courses take 300 hours, diplomas 800 and master's 1,900, so plan your time accordingly. Fees are payable in instalments, employer sponsorship may be possible, and you will have an assigned technical tutor.
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 PropTech and ConTech ecosystems.
Manage urban data with quality and interoperability.
Apply data protection legislation.
Interpret the European data strategy.
Assess AI systems in the real estate sector.
Analyse housing and digital construction regulation.
Design compliance programmes and ethical governance frameworks.
Who it's for
- Legal advisers in real estate technology moving into data and platform regulation.
- Data protection officers working with smart buildings and urban platforms.
- Compliance managers in PropTech, digital construction or local government.
- Urban data managers who need a solid regulatory grounding.
- Smart city consultants advising municipalities and developers.
- Digital regulation analysts.
- Engineering or science graduates looking to enter PropTech.
What you'll work with
- Regulation (EU) 2016/679 (General Data Protection Regulation)
- Regulation (EU) 2023/2854 (Data Act)
- Regulation (EU) 2022/868 (Data Governance Act)
- Regulation (EU) 2024/1689 (Artificial Intelligence Act)
- Regulation (EU) 2022/2065 (Digital Services Act)
- Directive (EU) 2019/1024 (open data and re-use of public sector information)
- Regulation (EU) 2024/3110 (Construction Products Regulation)
- Law 12/2023 (Spanish Housing Act)
- FIWARE
- CKAN
- QGIS
- OneTrust
- Power BI
12 modules
1.1PropTech ecosystem1.2ConTech ecosystem1.3Digital real estate platforms1.4Smart buildings1.5Digital asset management1.6Industrialised and digital construction1.7Data across the building life cycle1.8Investment and start-ups1.9Adoption challenges1.10Case study: map of the Spanish ecosystem
2.1Types of urban data2.2Urban sensors and platforms2.3City digital twins2.4Cadastral and land registry data2.5Mobility data2.6Building energy data2.7Municipal open data2.8Quality and interoperability2.9Smart city reference models2.10Practical exercise: data inventory of a municipality
3.1General Data Protection Regulation3.2Personal data in smart buildings3.3Video surveillance and access control3.4Geolocation and mobility3.5Anonymisation of urban data3.6Impact assessment3.7Privacy by design3.8Data subject rights3.9Penalties and AEPD cases3.10Lab: impact assessment of a connected building
4.1Data Governance Act4.2Data Act4.3European data spaces4.4Data intermediaries4.5Data altruism4.6Re-use of public sector data4.7High-value datasets4.8Access to data from connected devices4.9Portability between services4.10Practical exercise: analysis of Data Act obligations
5.1European AI Act5.2High-risk systems5.3Automated property valuation5.4Tenant screening and discrimination5.5Price prediction5.6Algorithmic transparency5.7Human oversight5.8Algorithm auditing5.9Liability for damages5.10Case study: audit of a valuation algorithm
6.1Digital Services Act6.2Short-term rental platforms6.3Single rental registry6.4Consumer protection6.5Advertising and price transparency6.6Competition in platforms6.7Electronic contracting6.8European digital identity6.9Real estate tokenisation6.10Workshop: legal review of a rental platform
7.1Housing Act7.2Horizontal property and technology7.3Digital planning permits7.4Digital building logbook7.5Energy efficiency of buildings7.6Electronic land registry7.7Accessibility7.8Property taxation and data7.9Coordination between administrations7.10Practical exercise: digital processing of a permit
8.1Construction Products Regulation8.2Digital product passport8.3BIM in public procurement8.4Information management standards8.5Electronic signature and sealing of projects8.6Liability of building agents8.7Insurance and guarantees8.8Intellectual property of models8.9Digital collaborative contracts8.10Case study: BIM requirements in public tender specifications
9.1Threats to smart buildings9.2Building management systems9.3Internet of Things and security9.4NIS2 Directive and the real estate sector9.5Cyber Resilience Act9.6Security of urban platforms9.7Incident management9.8Cyber insurance9.9Certification of connected products9.10Lab: risk analysis of a BMS
10.1The smart city and rights10.2Urban surveillance10.3Spatial justice and algorithms10.4The digital divide10.5Citizen participation10.6Municipal technological sovereignty10.7Data as a common good10.8Ethical public procurement10.9International ethical frameworks10.10Case study: debate on a smart neighbourhood project
11.1Compliance programmes11.2Data protection officer11.3Record of processing activities11.4Contracts with technology providers11.5Third-party management11.6Internal audits11.7Data governance11.8Compliance indicators11.9Relations with regulators11.10Workshop: compliance programme for a PropTech start-up
12.1Selection of the case study12.2Regulatory state of the art12.3Analysis of the data involved12.4Applicable legal framework12.5Ethical analysis12.6Risk assessment12.7Compliance proposal12.8Conclusions12.9Thesis report12.10Master's Thesis: defence before a panel
How you'll learn
The programme is delivered 100% online 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 fits around your job.
Each module combines theory, guided reading of the original legislation and applied exercises. The working software is FIWARE, CKAN, QGIS, OneTrust and Power BI, in free, academic or evaluation versions. Exercises are based on real procedures: data protection impact assessments, audits of valuation algorithms and legal reviews of digital platforms. Assessment is continuous by module, plus the final Master's Thesis.
Standards covered: Regulation (EU) 2016/679, Regulation (EU) 2023/2854, Regulation (EU) 2022/868, Regulation (EU) 2024/1689, Regulation (EU) 2022/2065, Directive (EU) 2019/1024, Regulation (EU) 2024/3110, Law 12/2023.
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
- University degree in engineering, science or architecture, or equivalent demonstrable professional experience.
- 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 1,900 hours over 12–14 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.
You work with FIWARE, CKAN, QGIS, OneTrust and Power BI, 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 Master's Thesis. 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 in a course or postgraduate diploma in the same area are recognised in the higher programme. Ask about the recognition policy when you enrol.
A university degree in engineering, science or architecture (or equivalent professional experience), 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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