Master'sElectronics, Embedded Systems & Telecom Applications open

Master’s in Observability and Telemetry in Embedded Systems Engineering

Online master's programme of 1,900 hours in observability and telemetry engineering for embedded systems, structured in 12 modules covering on-device logging, tracing and timing analysis, metrics, post-mortem debugging, telemetry transport, OpenTelemetry backends, fleet data analysis, embedded Linux, alerting and privacy regulation, with an assigned technical tutor.

Duration1900 h

ModeOnline

LanguageEnglish

Start datesSet by the faculty

AwardSEIUM Institute diploma

Enrol now View syllabus Ask an advisor

Master’s in Observability and Telemetry in Embedded Systems Engineering — 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$11,000 (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

Design observability strategies adapted to embedded systems.

Instrument firmware with efficient logs, metrics and traces.

Analyse the timing behaviour of real-time systems.

Debug field failures through post-mortem analysis.

Implement telemetry pipelines into observability backends.

Analyse fleet data to detect regressions and anomalies.

Develop a complete observability solution for a device.

Profile

Who it's for

Firmware engineers
Observability engineers
Device reliability engineers
Telemetry data engineers
Connected product support engineers
Post-market quality engineers
Engineering or science graduates looking to move into consumer electronics

Standards & tools

What you'll work with

Regulation (EU) 2016/679 (General Data Protection Regulation)
Regulation (EU) 2023/2854 (European Data Act)
ISO/IEC 30141 (IoT reference architecture)
IEC 62443-4-2 (security requirements for IACS components)
OpenTelemetry Specification (vendor-neutral telemetry model)
OASIS MQTT 5.0 (messaging protocol for IoT)
IETF RFC 8949 (CBOR concise binary encoding)
ISO/IEC 27001 (information security management systems)
SEGGER SystemView
Percepio Tracealyzer
Memfault
OpenTelemetry Collector
Grafana

Syllabus

12 modules · 1900 h

1.1Monitoring versus observability
1.2Memory, energy and bandwidth constraints
1.3Signals: logs, metrics, traces and events
1.4Observability in development and in the field
1.5Firmware instrumentation
1.6The cost of observability
1.7Use cases in connected products
1.8End-to-end telemetry architecture
1.9Privacy and consent
1.10Case study: observability requirements for a wearable

2.1Log levels and formats
2.2Binary logging and string dictionaries
2.3Logging systems in Zephyr and FreeRTOS
2.4Ring buffers and persistence
2.5Logging on embedded Linux with journald
2.6Log compression and transmission
2.7Event time synchronisation
2.8Performance impact
2.9On-device retention policies
2.10Practical exercise: deferred logging in Zephyr

3.1RTOS tracing
3.2Percepio Tracealyzer and SEGGER SystemView tools
3.3Hardware tracing with ETM and ITM
3.4Interrupt latency analysis
3.5Priority inversion and deadlocks
3.6CPU usage per task
3.7Function profiling
3.8Tracing on Linux with ftrace and LTTng
3.9Worst-case execution time analysis
3.10Lab: latency analysis with SystemView

4.1Designing device metrics
4.2Counters, histograms and gauges
4.3Battery and energy metrics
4.4Connectivity metrics
4.5Memory and stack metrics
4.6On-device aggregation
4.7Sending periodic heartbeats
4.8Efficient format and encoding
4.9User experience metrics
4.10Workshop: metrics catalogue for an IoT sensor

5.1Hardware faults on Cortex-M
5.2Memory dumps and coredumps
5.3Stack unwinding
5.4Watchdogs and reset causes
5.5Asserts and error handling
5.6Stack overflow detection
5.7Memory leaks in embedded systems
5.8Symbols and debug servers
5.9Reproducing field failures
5.10Practical exercise: analysing a HardFault from a coredump

6.1Telemetry over MQTT and CoAP
6.2Telemetry over BLE via a phone
6.3Telemetry on LoRaWAN and NB-IoT
6.4Handling intermittent connectivity
6.5Data prioritisation and sampling
6.6Compression and CBOR encoding
6.7Transport security
6.8Cellular data costs
6.9Standard telemetry protocols
6.10Lab: sending metrics over MQTT with local storage

7.1OpenTelemetry data model
7.2Collectors and pipelines
7.3OpenTelemetry on constrained devices
7.4Prometheus for metrics
7.5Loki and Elasticsearch for logs
7.6Jaeger and Tempo for traces
7.7Time-series metric storage
7.8Commercial IoT observability platforms
7.9Backend costs and scaling
7.10Practical exercise: OpenTelemetry pipeline into Grafana

8.1Fleet health dashboards
8.2Segmentation by version and hardware
8.3Anomaly detection in metrics
8.4Analysis of reset causes
8.5Correlation with deployments
8.6Battery degradation models
8.7Field usage analytics
8.8Reports for product and quality teams
8.9Bug prioritisation
8.10Case study: analysis of a regression after an update

9.1System metrics with collectd
9.2Service supervision with systemd
9.3eBPF on embedded devices
9.4Profiling with perf
9.5Containers and their observability
9.6Persistent log management
9.7Authenticated remote diagnostic sessions
9.8Agent resource footprint
9.9Integration with device management
9.10Workshop: eBPF tracing on an industrial gateway

10.1Defining device thresholds and SLOs
10.2Fleet-wide alerts
10.3Managing alert noise
10.4Responding to field incidents
10.5Runbooks for support
10.6Integration with issue management
10.7Customer communication
10.8Post-market quality metrics
10.9Data-driven continuous improvement
10.10Practical exercise: connectivity SLO for a fleet

11.1Personal data in telemetry
11.2Minimisation and anonymisation
11.3General Data Protection Regulation
11.4European Data Act and data access
11.5Security of diagnostic channels
11.6Telemetry in medical devices
11.7Regulated post-market surveillance
11.8Security event logging
11.9Auditing access to telemetry
11.10Case study: telemetry impact assessment

12.1Definition of the device and objectives
12.2Instrumentation design
12.3Firmware implementation
12.4Telemetry transport and backend
12.5Dashboards and fleet analysis
12.6Alerting and operations
12.7Assessment of resource impact
12.8Conclusions on observability
12.9Thesis report
12.10Master's Thesis: defence before a panel

Methodology, software & labs

How you'll learn

100% online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. 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 SEGGER SystemView, Percepio Tracealyzer, Memfault, OpenTelemetry Collector and Grafana, in free, academic or evaluation versions. Practical work is based on real procedures: analysing RTOS traces and latencies on the board, post-mortem debugging with coredumps and building fleet health dashboards. Assessment is continuous by module, plus the final Master's Thesis.

Standards covered: Regulation (EU) 2016/679, Regulation (EU) 2023/2854, ISO/IEC 30141, IEC 62443-4-2, OpenTelemetry Specification, OASIS MQTT 5.0, IETF RFC 8949, ISO/IEC 27001.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.

Standards-based learning:guided reading of Regulation (EU) 2016/679, Regulation (EU) 2023/2854 and ISO/IEC 30141 applied to real cases, not as a theoretical annex.

Industry software:SEGGER SystemView, Percepio Tracealyzer, Memfault, OpenTelemetry Collector and Grafana, in free, academic or evaluation versions.

Master's Thesis with defence:A complete observability solution for a connected device, from firmware instrumentation to fleet analysis, 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.

Instrumentation design

Define the device, its objectives and the instrumentation of logs, metrics and traces.

Firmware implementation

Implement the instrumentation in the firmware and assess its resource impact.

Telemetry pipeline

Build the transport and the OpenTelemetry backend for the device data.

Fleet dashboards and alerts

Create fleet health dashboards, SLOs and alerts for operation.

Master's Thesis

Draw conclusions on the observability solution, defended before a panel.

Career opportunities

Where this takes you

Firmware engineerObservability engineerDevice reliability engineerTelemetry data engineerConnected product support engineerPost-market quality engineer

Admissions & scholarships

Requirements

University degree in engineering, science or architecture, or equivalent demonstrable professional experience.
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.

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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 SEGGER SystemView, Percepio Tracealyzer, Memfault, OpenTelemetry Collector 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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