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Master'sElectronics, Embedded Systems & Telecom Applications open

Master’s in Embedded Observability and Telemetry

Online master's programme of 1,900 hours in embedded observability and telemetry (logging, tracing, metrics and health monitoring). 12 modules covering on-chip debugging and tracing, efficient logging, device health metrics, RTOS tracing, crash reporting, telemetry protocols, backend platforms, OTA deployment, security and privacy, and fleet data analysis, applied to Regulation (EU) 2024/2847 (Cyber Resilience Act), ETSI EN 303 645 and OMA LwM2M 1.2 with an assigned technical tutor.

Duration12–14 months
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma
Enrol now View syllabus Ask an advisor

Master’s in Embedded Observability and Telemetry — 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$12,600 (AUD), with instalments and employer sponsorship available.

Relevant bodies in Australia

  • Australian Communications and Media Authority (ACMA)
  • Engineers Australia
  • Standards Australia
  • Telecommunications Industry Ombudsman

Typical roles

  • Embedded Systems Engineer
  • Electronics Design Engineer
  • Firmware Engineer
  • Telecommunications Engineer

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.

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Learning outcomes

What you will be able to do

01

Design observability strategies for embedded systems.

02

Use on-chip debugging and tracing tools.

03

Implement efficient logging and metrics.

04

Analyse the timing behaviour of RTOS-based systems.

05

Capture and analyse field failures.

06

Transmit telemetry and manage device fleets.

07

Build observability into continuous firmware improvement.

Profile

Who it's for

  • Firmware engineers who need visibility into devices in the field.
  • Device reliability engineers.
  • IoT platform engineers.
  • Embedded systems developers.
  • Embedded DevOps engineers.
  • Field support engineers diagnosing deployed products.
  • Engineering or science graduates looking to enter industrial IoT.
Standards & tools

What you'll work with

  • Regulation (EU) 2024/2847 (Cyber Resilience Act for products with digital elements)
  • ETSI EN 303 645 (cyber security for consumer IoT)
  • OMA LwM2M 1.2 (lightweight device management protocol)
  • IEC 62443-4-2 (security requirements for industrial automation components)
  • Regulation (EU) 2016/679 (General Data Protection Regulation)
  • ISO/IEC 30141 (IoT reference architecture)
  • Zephyr RTOS
  • Percepio Tracealyzer
  • SEGGER SystemView
  • Memfault
  • Grafana
Syllabus

12 modules

  1. 1.1Monitoring versus observability
  2. 1.2Resource constraints
  3. 1.3Logs, metrics and traces in embedded systems
  4. 1.4Devices deployed in the field
  5. 1.5Cost of field failures
  6. 1.6Firmware life cycle
  7. 1.7Telemetry and privacy
  8. 1.8Industry tools
  9. 1.9Observability maturity
  10. 1.10Case study: remote diagnosis of an intermittent fault
  1. 2.1JTAG and SWD
  2. 2.2ARM CoreSight
  3. 2.3ETM and ITM traces
  4. 2.4SWO and efficient printf
  5. 2.5Breakpoints and watchpoints
  6. 2.6Segger J-Link debuggers
  7. 2.7Post-mortem analysis
  8. 2.8Core dumps
  9. 2.9Debugging on an RTOS
  10. 2.10Lab: instruction tracing with ETM
  1. 3.1Log levels and categories
  2. 3.2Binary logs and deferred formatting
  3. 3.3Compact formats
  4. 3.4Circular buffers
  5. 3.5Flash storage
  6. 3.6Timestamped logs
  7. 3.7Log transmission
  8. 3.8Memory and energy cost
  9. 3.9Logging libraries
  10. 3.10Practical exercise: binary logging system with Zephyr
  1. 4.1System metrics
  2. 4.2CPU and stack usage
  3. 4.3Memory consumption
  4. 4.4Battery and energy
  5. 4.5Connectivity statistics
  6. 4.6Error counters
  7. 4.7On-device aggregation
  8. 4.8Heartbeats
  9. 4.9Health indicators
  10. 4.10Lab: health metrics with Memfault
  1. 5.1Task traces
  2. 5.2Percepio Tracealyzer
  3. 5.3SEGGER SystemView
  4. 5.4Latency and jitter
  5. 5.5Priority inversion
  6. 5.6Interrupt analysis
  7. 5.7Response time measurement
  8. 5.8Multicore tracing
  9. 5.9Trace visualisation
  10. 5.10Practical exercise: latency analysis in FreeRTOS
  1. 6.1HardFault exceptions
  2. 6.2Watchdogs
  3. 6.3Asserts and their handling
  4. 6.4Context capture
  5. 6.5Sending fault reports
  6. 6.6Symbolication
  7. 6.7Fault deduplication
  8. 6.8Error prioritisation
  9. 6.9Stability metrics
  10. 6.10Lab: HardFault capture and remote reporting
  1. 7.1MQTT for telemetry
  2. 7.2CoAP and LwM2M
  3. 7.3Data compression
  4. 7.4Telemetry over low-power networks
  5. 7.5Gateways and edge
  6. 7.6OpenTelemetry on devices
  7. 7.7Data schemas
  8. 7.8Adaptive sampling
  9. 7.9Connectivity costs
  10. 7.10Practical exercise: LwM2M telemetry over NB-IoT
  1. 8.1Telemetry ingestion
  2. 8.2Time-series databases
  3. 8.3Dashboards with Grafana
  4. 8.4Alerts
  5. 8.5Fleet management
  6. 8.6Analysis by firmware version
  7. 8.7Correlation with deployments
  8. 8.8Platform scaling
  9. 8.9Backend security
  10. 8.10Lab: fleet dashboard with InfluxDB and Grafana
  1. 9.1Secure OTA updates
  2. 9.2Staged rollout
  3. 9.3Automatic rollback
  4. 9.4A/B partitions
  5. 9.5MCUboot
  6. 9.6Post-deployment monitoring
  7. 9.7Canary releases
  8. 9.8Version management
  9. 9.9Image signing
  10. 9.10Practical exercise: staged rollout with rollback
  1. 10.1Security of telemetry channels
  2. 10.2Device authentication
  3. 10.3Personal data in telemetry
  4. 10.4GDPR and data minimisation
  5. 10.5Product cyber resilience
  6. 10.6Security event logging
  7. 10.7Anomaly detection
  8. 10.8Vulnerability management
  9. 10.9Auditing
  10. 10.10Case study: threat model of a telemetry channel
  1. 11.1Root cause analysis
  2. 11.2Fleet anomaly detection
  3. 11.3Failure prediction
  4. 11.4Telemetry for product decisions
  5. 11.5Field experiments
  6. 11.6Firmware quality metrics
  7. 11.7Feedback into development
  8. 11.8Observability culture
  9. 11.9Success stories
  10. 11.10Workshop: failure analysis of a real fleet
  1. 12.1Device and requirements
  2. 12.2Observability strategy
  3. 12.3Firmware instrumentation
  4. 12.4Telemetry and protocol
  5. 12.5Backend and dashboards
  6. 12.6Fault management
  7. 12.7Validation on a pilot fleet
  8. 12.8Analysis of results
  9. 12.9Master's Thesis report
  10. 12.10Master's Thesis: defence before a panel
Methodology, software & labs

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 each intake, so it fits around your job.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is Zephyr RTOS, Percepio Tracealyzer, SEGGER SystemView, Memfault and Grafana, in free, academic or evaluation versions. Testing is studied through real procedures for real-time system tracing, pilot fleet trials and firmware fault injection. Assessment is continuous by module, plus the final Master's Thesis.

Standards covered: Regulation (EU) 2024/2847 (Cyber Resilience Act), ETSI EN 303 645, OMA LwM2M 1.2, IEC 62443-4-2, Regulation (EU) 2016/679 (GDPR), ISO/IEC 30141.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of Regulation (EU) 2024/2847, ETSI EN 303 645 and OMA LwM2M 1.2 applied to real cases, not as a theoretical annex.
Industry software:Zephyr RTOS, Percepio Tracealyzer, SEGGER SystemView, Memfault and Grafana, in free, academic or evaluation versions.
Master's Thesis with defence:Observability strategy for a real device, from firmware instrumentation and telemetry to backend dashboards and validation on a pilot fleet, defended before a panel.
Flexible format:100% online, no fixed timetables, compatible with full-time work.
Capstone project

Build it end to end

Your final project follows the real engineering workflow, step by step, reviewed by your tutor.

Observability strategy
Define logs, metrics and traces for a device with real resource constraints.
Firmware instrumentation
Implement binary logging, health metrics and HardFault capture.
Telemetry and backend
Send LwM2M telemetry and build a fleet dashboard in Grafana.
Staged deployment
Run a staged OTA rollout with automatic rollback and monitoring.
Master's Thesis
Complete observability solution validated on a pilot fleet, defended before a panel.
Career opportunities

Where this takes you

Firmware engineerDevice reliability engineerIoT platform engineerEmbedded systems developerEmbedded DevOps engineerField support engineer
Admissions & scholarships

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.

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FAQ

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, Percepio Tracealyzer, SEGGER SystemView, Memfault 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 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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