Postgraduate DiplomaDefense, Military Engineering & Land Systems Applications open

Diploma in Military Multimodal Sensor Validation

Online postgraduate diploma of 800 hours in Military Multimodal Sensor Validation. 8 modules covering multimodal sensors, metrology and uncertainty (GUM, ISO 5725), calibration, fusion validation, simulation and hardware-in-the-loop, environmental and EMC testing and data and quality management, with an assigned technical tutor.

Duration6–8 months
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma

Diploma in Military Multimodal Sensor Validation — 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$1,740 (AUD), with instalments and employer sponsorship available.

Relevant bodies in Australia

  • Department of Defence
  • Defence Science and Technology Group (DSTG)
  • Australian Defence Force (ADF)
  • Standards Australia

Typical roles

  • Defence Systems Engineer
  • Land Systems Engineer
  • Military Engineering Officer
  • Capability Sustainment Engineer

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.

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Learning outcomes

What you will be able to do

01

Understand the operating principles of optical, thermal, radar and lidar sensors.

02

Apply metrology and measurement uncertainty to sensor systems.

03

Perform intrinsic and extrinsic calibration of multi-sensor systems.

04

Design validation processes for fusion algorithms.

05

Carry out environmental and electromagnetic compatibility testing.

06

Manage ground truth data and test scenarios.

07

Produce validation reports with metrological traceability.

Profile

Who it's for

  • Sensor validation engineers.
  • Data fusion engineers.
  • Metrology engineers.
  • Perception engineers working on autonomous platforms.
  • Environmental test engineers.
  • Laboratory quality managers.
  • Engineering or science graduates seeking to enter the defence sector.
Standards & tools

What you'll work with

  • ISO/IEC Guide 98-3 (uncertainty of measurement, GUM)
  • ISO/IEC 17025 (competence of testing and calibration laboratories)
  • ISO 5725 (accuracy of measurement methods)
  • IEEE 1451 (smart transducer interfaces)
  • MIL-STD-810H (environmental testing)
  • MIL-STD-461G (electromagnetic compatibility)
  • STANAG 4609 (digital motion imagery)
  • MATLAB Sensor Fusion and Tracking Toolbox
  • ROS 2
  • OpenCV
  • dSPACE
  • Kalibr
Syllabus

8 modules

  1. 1.1Visible-light cameras
  2. 1.2Thermal cameras
  3. 1.3Millimetre-wave radar
  4. 1.4Lidar
  5. 1.5Acoustic sensors
  6. 1.6Inertial sensors
  7. 1.7Comparison of modalities
  8. 1.8Complementarity and redundancy
  9. 1.9Technology trends
  10. 1.10Case study: sensor selection for a vehicle
  1. 2.1Metrology concepts
  2. 2.2The GUM guide
  3. 2.3Repeatability and reproducibility (ISO 5725)
  4. 2.4Metrological traceability
  5. 2.5Standards and references
  6. 2.6ISO/IEC 17025 laboratory accreditation
  7. 2.7Uncertainty budgets
  8. 2.8The Monte Carlo method
  9. 2.9Communicating uncertainty
  10. 2.10Practical exercise: uncertainty budget for a measurement chain
  1. 3.1Intrinsic camera calibration
  2. 3.2Thermal radiometric calibration
  3. 3.3Radar calibration
  4. 3.4Lidar calibration
  5. 3.5Extrinsic calibration between sensors
  6. 3.6Time synchronisation
  7. 3.7Online calibration
  8. 3.8Stability and recalibration
  9. 3.9Calibration tools
  10. 3.10Lab: lidar-camera extrinsic calibration
  1. 4.1Fusion architectures
  2. 4.2Multi-target tracking
  3. 4.3Detection and tracking metrics
  4. 4.4Ground truth data
  5. 4.5Data annotation
  6. 4.6Test scenarios
  7. 4.7Edge cases
  8. 4.8Statistical validation
  9. 4.9Robustness to degradation
  10. 4.10Practical exercise: validating a fusion algorithm
  1. 5.1Sensor simulation
  2. 5.2Physical models of radar and lidar
  3. 5.3Synthetic environments
  4. 5.4Hardware-in-the-loop
  5. 5.5Data injection
  6. 5.6The gap between simulation and reality
  7. 5.7Simulator validation
  8. 5.8Parametric scenarios
  9. 5.9Test automation
  10. 5.10Lab: data injection on a test rig
  1. 6.1Testing to MIL-STD-810H
  2. 6.2Temperature and humidity
  3. 6.3Vibration and shock
  4. 6.4Rain, dust and fog
  5. 6.5Electromagnetic compatibility (MIL-STD-461G)
  6. 6.6Interference between sensors
  7. 6.7Field testing
  8. 6.8Ageing degradation
  9. 6.9Test reports
  10. 6.10Case study: environmental test plan
  1. 7.1Data formats and metadata
  2. 7.2IEEE 1451 interfaces
  3. 7.3STANAG 4609 video standards
  4. 7.4Managing large volumes of data
  5. 7.5Version traceability
  6. 7.6Laboratory quality system
  7. 7.7Audits
  8. 7.8Lessons learned
  9. 7.9System certification
  10. 7.10Workshop: validation data management plan
  1. 8.1System definition
  2. 8.2Performance requirements
  3. 8.3Calibration plan
  4. 8.4Uncertainty budget
  5. 8.5Fusion validation plan
  6. 8.6Environmental test plan
  7. 8.7Analysis of results
  8. 8.8Validation report
  9. 8.9Report and presentation
  10. 8.10Final project: final review with the tutor
Methodology, software & labs

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 each 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 MATLAB Sensor Fusion and Tracking Toolbox, ROS 2, OpenCV, dSPACE and Kalibr, in free, academic or evaluation versions. Practical work is based on real procedures: lidar-camera extrinsic calibration, evaluating the uncertainty of a measurement chain and validating a fusion algorithm against ground truth data. Assessment is continuous by module, plus the final project.

Standards covered: ISO/IEC Guide 98-3 (GUM), ISO/IEC 17025, ISO 5725, IEEE 1451, MIL-STD-810H, MIL-STD-461G, STANAG 4609.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of the GUM, ISO/IEC 17025 and ISO 5725 applied to real cases, not as a theoretical annex.
Industry software:MATLAB Sensor Fusion and Tracking Toolbox, ROS 2, OpenCV, dSPACE and Kalibr, in free, academic or evaluation versions.
Final project:A complete validation plan for a multimodal sensor system, from calibration and uncertainty budget to fusion and environmental testing, reviewed by your tutor.
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.

System and requirements
Define the sensor system and its performance requirements.
Calibration and uncertainty
Draw up the calibration plan and the uncertainty budget.
Fusion validation
Plan the validation of the fusion algorithm against ground truth.
Environmental testing
Define the environmental and EMC test plan.
Final project
Validation report with analysis of results, reviewed by your tutor.
Career opportunities

Where this takes you

Sensor validation engineerData fusion engineerMetrology engineerPerception engineerEnvironmental test engineerLaboratory quality manager
Admissions & scholarships

Requirements

  • Prior technical training or professional experience in the sector. No university degree is required.
  • An 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 800 hours over 6–8 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.

You work with MATLAB Sensor Fusion and Tracking Toolbox, ROS 2, OpenCV, dSPACE and Kalibr, 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 final project. 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 are recognised in a higher programme in the same area (postgraduate diploma or master's). Ask about the recognition policy when you enrol.

Prior technical training or professional experience in the sector (no university degree required), 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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