Master’s in End-to-End IoT Platforms
Online master's programme of 1,900 hours in end-to-end IoT platforms (device to gateway to cloud, provisioning and device management). 12 modules covering IoT architectures, connected device hardware, firmware and operating systems, connectivity, application protocols, edge computing, cloud IoT platforms, data and analytics, end-to-end security, applications and user experience, and operation and scaling, with an assigned technical tutor.
Master’s in End-to-End IoT Platforms — studying from Australia
Electronics and embedded systems underpin a wide range of Australian industries, including defence, mining automation, medical devices and consumer technology. The telecommunications sector is significant, with ongoing investment in fibre, mobile networks and satellite communications for remote regions. Research organisations such as CSIRO and university groups contribute to advances in sensing, communications and signal processing. Engineers typically work on hardware design, firmware development, testing and certification. Employers include telecommunications carriers, defence contractors, instrumentation companies and product manufacturers.
Fees for Australia: A$9,410 (AUD), with instalments and employer sponsorship available.
Relevant bodies in Australia
Typical roles
Questions from Australia
Is this qualification recognised for electronics engineering in Australia?
SEIUM's qualifications are private and not official state degrees, and they are not accredited by Engineers Australia or the Australian Communications and Media Authority. Recognition for electronics and telecom roles generally depends on accredited degrees, licences and experience. Employers or the relevant body make the final decision.
Which Australian employers hire embedded and telecom engineers?
Australia has telecommunications carriers, defence electronics firms, medical device makers, mining technology companies and IoT developers. Employers mostly assess your hands-on skills, project record and certifications. Ask prospective employers whether they would consider a private online qualification.
Can I study this part-time while working, and how is it supported?
The courses are 100% online and taught in English, so you can study from anywhere in Australia without needing a student visa. Specialist courses take 300 hours, diplomas 800 and master's 1,900. Each student has an assigned technical tutor, 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
Design complete IoT architectures from the sensor to the cloud.
Develop low-power devices with updatable firmware.
Select connectivity technologies according to range and power consumption.
Implement communication with MQTT, CoAP and LwM2M.
Deploy scalable edge and cloud solutions.
Secure the IoT chain with end-to-end identity and encryption.
Operate device fleets with remote management and analytics.
Who it's for
- IoT solutions architects.
- Firmware engineers who want to understand the full chain up to the cloud.
- Cloud platform engineers moving into IoT.
- IoT data engineers.
- Product managers of connected devices.
- IoT security engineers.
- Engineering or science graduates aiming to enter the smart cities sector.
What you'll work with
- ISO/IEC 30141 (IoT reference architecture)
- ETSI EN 303 645 (cybersecurity baseline for consumer IoT)
- Directive 2014/53/EU (RED) (radio equipment)
- OASIS MQTT 5.0 (MQTT messaging protocol)
- IETF RFC 7252 (CoAP) (Constrained Application Protocol)
- Regulation (EU) 2016/679 (GDPR) (protection of personal data)
- Regulation (EU) 2024/2847 (Cyber Resilience Act) (cybersecurity requirements for products with digital elements)
- LoRaWAN Specification 1.0.4 (LoRaWAN link-layer specification)
- Zephyr RTOS
- AWS IoT Core
- ThingsBoard
- Node-RED
- Grafana
12 modules
1.1Device, edge, network and cloud layers1.2ISO/IEC 30141 reference models1.3Telemetry and command patterns1.4Functional and non-functional requirements1.5Scalability of device fleets1.6Total cost of ownership1.7Technology selection by use case1.8Lifecycle of the connected product1.9Common mistakes in IoT projects1.10Case study: architecture for smart irrigation
2.1ESP32, nRF52 and STM32 microcontrollers2.2Selection of sensors and actuators2.3Low-power design2.4Battery and power management2.5Certified radio modules2.6Antenna design and range2.7Prototyping and moving to production2.8CE certification and the RED Directive2.9Bill of materials costs2.10Lab: sensor node with ESP32
3.1Zephyr RTOS and FreeRTOS3.2Firmware architecture3.3Power management in firmware3.4Sensor drivers3.5Integrated communication stacks3.6Unit testing in firmware3.7OTA updates with MCUboot3.8Logging and remote diagnostics3.9Continuous integration for firmware3.10Practical exercise: Zephyr firmware with OTA
4.1Wi-Fi, Bluetooth Low Energy and Thread4.2Matter for the connected home4.3LoRaWAN and Sigfox4.4NB-IoT and LTE-M4.5Low-power mesh networks4.6Gateways and concentrators4.7Coverage and radio planning4.8Comparison of cost and power consumption4.9Roaming and global connectivity4.10Lab: comparing BLE and LoRaWAN power consumption
5.1MQTT and its quality of service levels5.2MQTT 5 and its new features5.3CoAP and LwM2M5.4HTTP REST for devices5.5JSON, CBOR and Protobuf formats5.6Device data modelling5.7Sparkplug B in industry5.8EMQX, Mosquitto and HiveMQ brokers5.9Broker performance and scaling5.10Practical exercise: MQTT telemetry with Mosquitto
6.1Edge versus cloud processing6.2Containers on gateways6.3AWS IoT Greengrass and Azure IoT Edge6.4Node-RED for data flows6.5AI inference at the edge6.6Store and forward6.7Remote gateway management6.8Gateway security6.9Lightweight orchestration with K3s6.10Lab: edge gateway with Node-RED
7.1AWS IoT Core and associated services7.2Azure IoT Hub and DPS7.3Open platforms: ThingsBoard7.4Registration and provisioning7.5Device twins and shadows7.6Message rules and routing7.7Integration with data services7.8Cloud cost models7.9Vendor lock-in7.10Practical exercise: bulk provisioning in AWS IoT Core
8.1Time-series databases8.2Data lakes and storage8.3Stream processing with Kafka8.4Data quality and governance8.5Visualisation with Grafana8.6Descriptive and predictive analytics8.7Machine learning in IoT8.8Anomaly detection8.9Data export and APIs8.10Lab: data pipeline with InfluxDB and Grafana
9.1System threat model9.2Device identity and X.509 certificates9.3TLS and DTLS on devices9.4Secure elements and storage9.5Key management and rotation9.6ETSI EN 303 645 requirements9.7The Cyber Resilience Act9.8IoT penetration testing9.9Vulnerability response9.10Workshop: mutual authentication with certificates
10.1Mobile apps for devices10.2Web development of dashboards10.3Notifications and alerts10.4User and permission management10.5Pairing and onboarding10.6User experience in connected products10.7Accessibility and usability10.8Integration with voice assistants10.9Privacy under the GDPR10.10Practical exercise: web dashboard for a sensor fleet
11.1Device fleet management11.2Monitoring and observability11.3Staged OTA roll-outs11.4Support and maintenance11.5Reliability and SLAs11.6IoT business models11.7Scaling manufacturing11.8Logistics and provisioning11.9End of life and recycling11.10Case study: scaling from 100 to 100,000 devices
12.1Definition of the connected product12.2Requirements and architecture12.3Device design12.4Firmware development12.5Connectivity integration12.6Deployment on the cloud platform12.7Analytics and user application12.8Security and scaling tests12.9Master's Thesis report12.10Master's Thesis: defence before a panel
How you'll learn
Training is 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 the intake, so the programme fits around your job.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is Zephyr RTOS, AWS IoT Core, ThingsBoard, Node-RED and Grafana, in free, academic or evaluation versions. Real procedures are studied: power consumption tests on nodes, pilot field deployments and device security testing. Assessment is continuous by module, plus the final Master's Thesis.
Standards covered: ISO/IEC 30141, ETSI EN 303 645, Directive 2014/53/EU (RED), OASIS MQTT 5.0, IETF RFC 7252 (CoAP), Regulation (EU) 2016/679 (GDPR), Regulation (EU) 2024/2847 (Cyber Resilience Act), LoRaWAN Specification 1.0.4.
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
- University degree in engineering, science or architecture, or equivalent demonstrable professional experience.
- Internet connection and a computer able to run 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 Zephyr RTOS, AWS IoT Core, ThingsBoard, Node-RED and Grafana, 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 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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