Master’s in Emerging Technologies Engineering (High Level, Non-Operational)
Online master's programme of 1,900 hours in emerging technologies engineering (high-level, non-operational). 12 modules covering technology foresight, artificial intelligence and autonomy, quantum technologies, biotechnology, space, advanced materials, energy and propulsion, an academic approach to hypersonics and directed energy, digital technologies, technology governance and innovation, with the AI Act (EU) 2024/1689, the Dual-Use Regulation (EU) 2021/821 and the Outer Space Treaty, with an assigned technical tutor.
Master’s in Emerging Technologies Engineering (High Level, Non-Operational) — studying from Australia
Defence is one of Australia's largest engineering employers, with major programmes in land systems, naval platforms, aircraft and integrated systems managed through the Department of Defence. Land systems engineering supports armoured vehicles, weapons and logistics equipment, often through prime contractors and local industry partners. Industry involvement is strongly encouraged through the Defence industry policy framework. Engineers work on sustainment, capability development, systems integration and safety assurance, typically in Canberra, Adelaide, Melbourne and regional defence precincts.
Fees for Australia: A$15,800 (AUD), with instalments and employer sponsorship available.
Relevant bodies in Australia
Typical roles
Questions from Australia
How does defence engineering recognition work in Australia?
Defence engineering in Australia is largely run through the Department of Defence and its industry partners, which set their own security clearance and qualification requirements. Engineers Australia is the professional body for accreditation. SEIUM's private qualifications are not accredited by these bodies, so recognition is for employers or the relevant body to decide.
Which Australian employers hire in defence and land systems?
Australia has defence prime contractors, the Department of Defence, and specialist land systems firms. Many of these roles require Australian security clearances, which depend on citizenship and background checks rather than course completion. Ask employers how they weigh private qualifications against experience and clearance requirements.
Is the course manageable with a job, and does it need a visa?
The programmes are 100% online and taught in English, so you can study from Australia without a student visa. Specialist courses take 300 hours, diplomas 800 and master's 1,900. An assigned technical tutor supports you, fees are payable 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 technology foresight methodologies.
Assess the maturity and impact of emerging technologies.
Understand the fundamentals of AI, quantum technologies and biotechnology.
Analyse trends in space, materials and energy.
Study hypersonics and directed energy from an academic perspective.
Analyse technology governance and control frameworks.
Design dual-use innovation roadmaps.
Who it's for
- Technology foresight analysts
- Innovation managers
- Emerging technology consultants
- Science policy analysts
- R&D project managers
- Technology governance specialists
- Engineering or science graduates looking to enter defence and security
What you'll work with
- Regulation (EU) 2024/1689 (Artificial Intelligence Act)
- Regulation (EU) 2021/821 (dual-use export control)
- Outer Space Treaty (international space law)
- Biological Weapons Convention (prohibition of biological weapons)
- IEC 60825-1 (laser safety)
- NIST FIPS 203 (post-quantum key encapsulation standard)
- ISO 16290 (technology readiness levels)
- Qiskit
- GMAT
- VOSviewer
- Ansys Granta
- Python
12 modules · 1900 h
1.1Foresight methodologies: Delphi and scenarios1.2Horizon scanning1.3Technology readiness levels (TRL)1.4Adoption curves and hype cycles1.5Emerging and disruptive technologies: NATO taxonomy1.6Science and technology trends report1.7Innovation ecosystems1.8Bibliometric and patent indicators1.9Biases in foresight1.10Case study: patent analysis of an emerging technology
2.1Deep learning and foundation models2.2Language models and their applications2.3Autonomy in physical systems2.4AI for decision support2.5AI robustness and safety2.6Responsible AI and European regulation2.7AI hardware2.8International AI governance2.9Risks and limitations2.10Workshop: maturity assessment of an AI application
3.1Fundamentals of quantum mechanics for engineers3.2Quantum computing: qubits and platforms3.3Quantum algorithms and their cryptographic impact3.4Quantum communications and QKD3.5Quantum sensors: magnetometers and gravimeters3.6Atomic clocks and quantum navigation3.7European Quantum Flagship programmes3.8Maturity and time horizons3.9Engineering challenges3.10Practical exercise: quantum circuits with Qiskit
4.1CRISPR gene editing4.2Synthetic biology4.3Biomaterials and biofabrication4.4Brain-computer interfaces4.5Regenerative medicine in trauma4.6Biosensors4.7Biosecurity and dual use4.8Biological Weapons Convention4.9Ethics of bioengineering4.10Case study: dual-use analysis in synthetic biology
5.1New Space and reusable launchers5.2LEO mega-constellations5.3High-revisit Earth observation5.4Space situational awareness5.5Space debris and sustainability5.6In-orbit servicing5.7Outer Space Treaty5.8EU space programme5.9Space governance5.10Practical exercise: orbital analysis with GMAT
6.1Metamaterials6.2Two-dimensional materials: graphene6.3Nanomaterials6.4Self-healing materials6.5Advanced additive manufacturing6.6High-temperature materials6.7Smart materials6.8Critical raw materials6.9Materials sustainability6.10Lab: materials selection with Ansys Granta
7.1Advanced energy storage7.2Hydrogen and fuel cells7.3Small modular reactors7.4Platform electrification7.5Applied superconductivity7.6Synthetic fuels7.7Wireless power transmission7.8Advanced thermal management7.9Energy security7.10Workshop: comparison of storage technologies
8.1Physics of hypersonic flight8.2Aerothermodynamics and materials8.3Civil hypersonic research8.4Physics of high-power lasers8.5Laser safety and regulations8.6High-power microwaves and electromagnetic compatibility8.7Arms control framework8.8Academic strategic debate8.9Implications for stability8.10Case study: literature review on strategic stability
9.15G and 6G networks9.2Edge computing9.3Sovereign cloud9.4Post-quantum cryptography9.5Digital twins9.6Extended reality9.7Internet of Things9.8Cyber resilience9.9Digital technological sovereignty9.10Practical exercise: post-quantum migration roadmap
10.1Export control of emerging technologies10.2Multilateral regimes and their adaptation10.3Legal review of new technologies10.4Responsible research10.5Technical standardisation10.6Anticipatory governance10.7Science diplomacy10.8Research security10.9Academic integrity10.10Workshop: governance assessment of a technology
11.1Innovation agencies: DARPA, DIANA and EDF11.2Public procurement of innovation11.3Dual-use start-ups11.4Venture capital in defence11.5Intellectual property11.6University-industry transfer11.7R&D project management11.8Impact assessment11.9Regional ecosystems11.10Case study: analysis of an innovation acceleration programme
12.1Selection of the emerging technology12.2Maturity and trend analysis12.3Assessment of civil and dual-use applications12.4Ethical and legal analysis12.5Foresight scenarios12.6Proposed roadmap12.7Governance recommendations12.8Conclusions12.9Master's Thesis report12.10Master's Thesis: defence before a panel
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 you can combine it with your job.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is Qiskit, GMAT, VOSviewer, Ansys Granta and Python, in free, academic or evaluation versions. Real procedures are studied, such as bibliometric and patent analysis, construction of foresight scenarios and technology maturity assessment. Assessment is continuous by module, plus the final Master's Thesis.
Standards covered: AI Act (EU) 2024/1689, Dual-Use Regulation (EU) 2021/821, Outer Space Treaty, Biological Weapons Convention, IEC 60825-1, NIST FIPS 203, ISO 16290.
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
- A university degree in engineering, science or architecture, or equivalent demonstrable professional experience.
- 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 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 Qiskit, GMAT, VOSviewer, Ansys Granta 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 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 computer able to run the programme's 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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