Master'sElectronics, Embedded Systems & Telecom Applications open

Master’s in Sensors and Physical Instrumentation

Online master's programme of 1,900 hours in sensors and physical instrumentation — IMU, pressure, temperature, calibration and traceability. 12 modules covering metrology, temperature, mechanical, flow and level, optical and photonic, and chemical and environmental sensors, signal conditioning, data acquisition, measurement signal processing, industrial instrumentation and measurement system design, with JCGM 100:2008 (GUM), ISO/IEC 17025 and IEC 60751 and an assigned technical tutor.

Duration12–14 months
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma

Master’s in Sensors and Physical Instrumentation — 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

  • 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

Apply the principles of metrology and uncertainty calculation.

02

Select physical sensors according to the application.

03

Design signal conditioning circuits.

04

Implement data acquisition systems.

05

Process measurement signals and fuse sensor data.

06

Specify industrial instrumentation.

07

Calibrate and validate measurement systems.

Profile

Who it's for

  • Instrumentation engineers.
  • Metrology engineers.
  • Calibration technicians aiming to strengthen their technical background.
  • Sensor engineers.
  • Test engineers.
  • R&D engineers working on measurement systems.
  • Engineering or science graduates seeking to enter the process industry.
Standards & tools

What you'll work with

  • JCGM 100:2008 (GUM — guide to the expression of uncertainty in measurement)
  • ISO/IEC 17025 (competence of testing and calibration laboratories)
  • IEC 60751 (industrial platinum resistance thermometers)
  • IEC 60584-1 (thermocouples — EMF specifications and tolerances)
  • IEC 61298 (process measurement and control devices — evaluation methods)
  • IEC 60079-11 (explosive atmospheres — intrinsic safety)
  • ISO 5167 (flow measurement with differential pressure devices)
  • OIML R 117 (dynamic measuring systems for liquids other than water)
  • NI LabVIEW
  • MATLAB
  • Python with NumPy and SciPy
  • NI DIAdem
  • LTspice
Syllabus

12 modules

  1. 1.1The International System of Units
  2. 1.2Metrological traceability and standards
  3. 1.3Accuracy, precision and resolution
  4. 1.4Measurement uncertainty (GUM)
  5. 1.5Instrument calibration
  6. 1.6Static characteristics of sensors
  7. 1.7Dynamic characteristics of sensors
  8. 1.8Systematic and random errors
  9. 1.9Calibration laboratories and ISO/IEC 17025 accreditation
  10. 1.10Practical exercise: uncertainty calculation for a thermometer
  1. 2.1Thermocouples and their types
  2. 2.2Pt100 and Pt1000 resistance thermometers
  3. 2.3NTC and PTC thermistors
  4. 2.4Semiconductor temperature sensors
  5. 2.5Non-contact infrared pyrometry
  6. 2.6Thermography and thermal cameras
  7. 2.7Cold junction compensation
  8. 2.8Installation and errors
  9. 2.9Temperature calibration
  10. 2.10Lab: comparison of temperature sensors
  1. 3.1Strain gauges and their mounting
  2. 3.2Wheatstone bridges
  3. 3.3Load cells
  4. 3.4Pressure sensors
  5. 3.5Piezoelectric accelerometers and their mounting
  6. 3.6MEMS inertial sensors
  7. 3.7LVDT displacement sensors
  8. 3.8Optical and magnetic encoders
  9. 3.9Torque sensors
  10. 3.10Practical exercise: strain-gauge load cell
  1. 4.1Insertion electromagnetic flowmeters
  2. 4.2Ultrasonic flowmeters
  3. 4.3Coriolis flowmeters
  4. 4.4Orifice plates
  5. 4.5Turbine meters
  6. 4.6Radar level sensors
  7. 4.7Pressure-based level sensors
  8. 4.8Thermal flowmeters
  9. 4.9Selection according to the fluid
  10. 4.10Case study: selection for a water plant
  1. 5.1Photodiodes and phototransistors
  2. 5.2CCD and CMOS image sensors
  3. 5.3Optical fibre as a sensor
  4. 5.4Fibre Bragg gratings
  5. 5.5Interferometry for displacement measurement
  6. 5.6Optical absorption spectroscopy
  7. 5.7LIDAR distance sensors
  8. 5.8Colour sensors
  9. 5.9Precision laser instrumentation
  10. 5.10Lab: strain sensor with a fibre Bragg grating
  1. 6.1Electrochemical gas sensors
  2. 6.2Metal oxide sensors
  3. 6.3NDIR CO2 sensors
  4. 6.4pH sensors
  5. 6.5Electrical conductivity measurement
  6. 6.6Dissolved oxygen sensors
  7. 6.7Suspended particulate matter
  8. 6.8Calibration of environmental sensors
  9. 6.9Drift and ageing
  10. 6.10Practical exercise: calibrating a CO2 sensor
  1. 7.1Instrumentation amplifiers
  2. 7.2Analogue anti-aliasing filters
  3. 7.3Galvanic isolation of signals
  4. 7.4Precision analogue-to-digital conversion
  5. 7.54-20 mA loops
  6. 7.6Sensor excitation
  7. 7.7Noise and shielding
  8. 7.8Response linearisation
  9. 7.9Temperature compensation
  10. 7.10Lab: conditioning for a bridge circuit
  1. 8.1Architecture of a DAQ system
  2. 8.2Sampling frequency
  3. 8.3Channel multiplexing
  4. 8.4Synchronisation between channels
  5. 8.5Programming in LabVIEW
  6. 8.6Acquisition with Python
  7. 8.7Data storage
  8. 8.8Distributed acquisition systems
  9. 8.9IEEE 1451 smart sensors
  10. 8.10Practical exercise: DAQ system in LabVIEW
  1. 9.1FIR and IIR digital filtering
  2. 9.2Spectral analysis of measurements
  3. 9.3Averaging and noise
  4. 9.4Sensor fusion
  5. 9.5Kalman filter
  6. 9.6Software calibration
  7. 9.7Outlier detection
  8. 9.8Data compression
  9. 9.9Visualisation of measurement results
  10. 9.10Lab: accelerometer and gyroscope fusion
  1. 10.1Process transmitters
  2. 10.2Communication with the HART protocol
  3. 10.3Instrumentation in explosive atmospheres
  4. 10.4Reading P&ID diagrams
  5. 10.5Instrument data sheets
  6. 10.6Control loops
  7. 10.7Safety instrumentation
  8. 10.8Instrument maintenance
  9. 10.9Calibration management
  10. 10.10Workshop: instrument specification for a loop
  1. 11.1Measurement requirements
  2. 11.2Sensor selection
  3. 11.3System uncertainty calculation
  4. 11.4System validation
  5. 11.5Instrument regulations
  6. 11.6Electromagnetic compatibility of the system
  7. 11.7Prototype design
  8. 11.8System cost estimation
  9. 11.9Measurement system documentation
  10. 11.10Case study: structural health monitoring system
  1. 12.1Definition of the measurement problem
  2. 12.2System specifications
  3. 12.3Sensor selection
  4. 12.4Conditioning design
  5. 12.5Acquisition system
  6. 12.6Data processing
  7. 12.7Calibration and validation
  8. 12.8Uncertainty analysis
  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 you can combine the programme with your job.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is NI LabVIEW, MATLAB, Python with NumPy and SciPy, NI DIAdem and LTspice, in free, academic or evaluation versions. Practical work is based on real procedures for laboratory sensor calibration, dynamic characterisation of transducers and field validation of measurement systems. Assessment is continuous for each module, plus the final Master's Thesis.

Standards covered: JCGM 100:2008 (GUM), ISO/IEC 17025, IEC 60751, IEC 60584-1, IEC 61298, IEC 60079-11, ISO 5167 and OIML R 117.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of JCGM 100:2008 (GUM), ISO/IEC 17025 and IEC 60751 applied to real cases, not as a theoretical annex.
Industry software:NI LabVIEW, MATLAB, Python with NumPy and SciPy, NI DIAdem and LTspice, in free, academic or evaluation versions.
Master's Thesis with defence:The design, calibration and validation of a complete measurement system for a real problem, from sensor selection and conditioning to acquisition, processing and uncertainty 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.

Measurement problem definition
Define the quantity to measure and the system specifications.
Sensor selection and conditioning
Choose the sensors and design their signal conditioning circuits.
Acquisition and processing
Build the DAQ system and process the measurement signals.
Calibration and uncertainty
Calibrate the system and calculate its uncertainty according to the GUM.
Master's Thesis
Present the validated measurement system, defended before a panel.
Career opportunities

Where this takes you

Instrumentation engineerMetrology engineerCalibration technicianSensor engineerTest engineerR&D 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 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.

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 NI LabVIEW, MATLAB, Python with NumPy and SciPy, NI DIAdem and LTspice, 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 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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