Master'sData, AI, Simulation & Analytics Applications open

Master’s in 3D Vision, Metrology and Reconstruction

Online master's programme of 1,900 hours in 3D vision, metrology and reconstruction: photogrammetry, point clouds and GD&T accuracy. 12 modules covering vision geometry, system calibration, 3D capture technologies, 3D reconstruction, point cloud processing, dimensional metrology, geometric inspection, deep learning for 3D vision and vision-guided robotics, with ISO 10360-8, VDI/VDE 2634-2 and ISO/IEC Guide 98-3 (GUM), and an assigned technical tutor.

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

Master’s in 3D Vision, Metrology and Reconstruction — studying from Australia

Data, artificial intelligence and simulation are central to Australian industries including mining, banking, health, agriculture and government. Organisations use machine learning, digital twins and advanced analytics to improve productivity, asset performance and decision making. National science agency CSIRO, along with universities and a growing start-up ecosystem, drives research and applied innovation. Australia has also developed national AI ethics principles, making responsible design an important professional consideration. Engineers in this area typically work for technology firms, consultancies, research organisations and large enterprises.

Fees for Australia: A$15,800 (AUD), with instalments and employer sponsorship available.

Relevant bodies in Australia

  • Australian Computer Society (ACS)
  • CSIRO
  • Department of Industry, Science and Resources
  • Standards Australia

Typical roles

  • Data Scientist
  • Machine Learning Engineer
  • Simulation Engineer
  • Analytics Engineer

Questions from Australia

Which Australian bodies recognise data and AI engineering skills?

Engineers Australia and the Australian Computer Society (ACS) are the main professional bodies, and the ACS runs a skills assessment for migration purposes. SEIUM's private qualifications are not accredited by either. Whether a private qualification is valued is decided by the employer or the relevant body.

What data and AI careers exist in Australia for this training?

Australia has demand for data scientists, AI engineers and simulation analysts across finance, health, mining, government and technology firms. Employers mainly assess your portfolio, technical skills and results. A SEIUM qualification may support your profile, but each employer decides its relevance.

Can I study this online from Australia while working?

Yes, the programmes are fully online and taught in English, and no student visa is needed to study from home. Specialist courses are 300 hours, postgraduate diplomas 800 and master's 1,900, with an assigned technical tutor and a final project. Fees can be paid in instalments, and employer sponsorship may be possible.

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Learning outcomes

What you will be able to do

01

Model and calibrate cameras and multi-sensor systems.

02

Select 3D capture technologies according to the application.

03

Reconstruct scenes and objects in three dimensions.

04

Process and register point clouds.

05

Carry out dimensional measurements with uncertainty estimation.

06

Apply deep learning to 3D perception and robot guidance.

07

Design 3D inspection systems for production.

Profile

Who it's for

  • 3D vision engineers.
  • Dimensional metrologists.
  • Optical inspection engineers.
  • 3D scanning specialists.
  • Vision-guided robotics engineers.
  • 3D reconstruction researchers.
  • Engineering or science graduates looking to move into the automotive industry.
Standards & tools

What you'll work with

  • ISO 10360-8 (acceptance and reverification tests for CMMs with optical distance sensors)
  • VDI/VDE 2634-2 (optical 3D measuring systems based on area scanning)
  • ISO/IEC Guide 98-3 (GUM, guide to the expression of uncertainty in measurement)
  • JCGM 200 (VIM, international vocabulary of metrology)
  • ISO 1101 (geometrical tolerancing)
  • ISO 14253-1 (decision rules for verifying conformity)
  • IEC 60825-1 (safety of laser products)
  • ISO 15530-3 (CMM measurement uncertainty using calibrated workpieces)
  • OpenCV
  • Open3D
  • COLMAP
  • PolyWorks
  • GOM Inspect
Syllabus

12 modules

  1. 1.1The pinhole camera model
  2. 1.2Intrinsic and extrinsic parameters
  3. 1.3Lens distortion
  4. 1.4Homogeneous coordinates
  5. 1.5Epipolar geometry
  6. 1.6Essential and fundamental matrices
  7. 1.7Homographies
  8. 1.8Triangulation
  9. 1.9Geometric uncertainty
  10. 1.10Case study: camera model for inspection
  1. 2.1Calibration with Zhang patterns
  2. 2.2Stereo calibration
  3. 2.3Projector–camera calibration
  4. 2.4Hand–eye calibration
  5. 2.5LiDAR–camera calibration
  6. 2.6Accuracy and reprojection
  7. 2.7Thermal stability
  8. 2.8ChArUco patterns
  9. 2.9Calibration validation
  10. 2.10Lab: stereo calibration with OpenCV
  1. 3.1Passive stereo vision
  2. 3.2Structured light
  3. 3.3Time of flight
  4. 3.4Laser triangulation
  5. 3.5Arm-mounted and handheld scanners
  6. 3.6Photogrammetry
  7. 3.7Terrestrial LiDAR
  8. 3.8Industrial computed tomography
  9. 3.9Technology selection
  10. 3.10Practical: comparison of three 3D sensors
  1. 4.1Stereo matching and disparity
  2. 4.2Structure from Motion
  3. 4.3Multi-View Stereo
  4. 4.4Visual SLAM
  5. 4.5Depth fusion
  6. 4.6Poisson surface reconstruction
  7. 4.7Meshes and texturing
  8. 4.8NeRF and Gaussian splatting
  9. 4.9Scaling and georeferencing
  10. 4.10Lab: reconstruction with COLMAP
  1. 5.1Filtering and downsampling
  2. 5.2Normals and curvature
  3. 5.3ICP registration
  4. 5.4Global registration
  5. 5.5Primitive segmentation
  6. 5.6RANSAC
  7. 5.73D feature detection
  8. 5.8Open3D and PCL
  9. 5.9Processing large point clouds
  10. 5.10Practical: registration of multiple scans
  1. 6.1Metrological concepts (VIM)
  2. 6.2Traceability and calibration
  3. 6.3Measurement uncertainty (GUM)
  4. 6.4Coordinate measuring machines
  5. 6.5Optical measuring systems
  6. 6.6ISO 10360 standards
  7. 6.7VDI/VDE 2634 standards
  8. 6.8Repeatability and reproducibility
  9. 6.9Environmental conditions
  10. 6.10Lab: R&R study of an optical system
  1. 7.1Comparison with CAD
  2. 7.2Deviation maps
  3. 7.3GD&T evaluation
  4. 7.4Alignments and datums
  5. 7.5First article inspection
  6. 7.6In-line inspection
  7. 7.7PolyWorks and GOM Inspect software
  8. 7.8Inspection reports
  9. 7.9Integration with SPC
  10. 7.10Practical: inspection of an injection-moulded part against CAD
  1. 8.1Monocular depth estimation
  2. 8.2Deep stereo networks
  3. 8.3PointNet and point networks
  4. 8.43D segmentation
  5. 8.53D object detection
  6. 8.66D pose estimation
  7. 8.7Synthetic 3D data
  8. 8.8Model evaluation
  9. 8.9Real-time deployment
  10. 8.10Lab: 6D pose estimation for pick and place
  1. 9.1Bin picking
  2. 9.2Robot guidance in welding
  3. 9.3Robotic in-line measurement
  4. 9.4Visual servoing
  5. 9.5Robot–sensor calibration
  6. 9.6Tracking of moving parts
  7. 9.7Integration with PLCs
  8. 9.8Safety in robot cells
  9. 9.9Cycle time
  10. 9.10Case study: bin-picking cell
  1. 10.1Automotive: gap and flush
  2. 10.2Aeronautics: large structures
  3. 10.3Heritage and archaeology
  4. 10.4Construction and BIM
  5. 10.5Medicine and orthopaedics
  6. 10.6Reverse engineering
  7. 10.7Tool wear monitoring
  8. 10.8Agriculture and biomass
  9. 10.9Logistics and volumetric measurement
  10. 10.10Workshop: scanning a heritage object
  1. 11.1Design of a 3D vision system
  2. 11.2Lighting and environment
  3. 11.3Processing hardware
  4. 11.4System capability validation
  5. 11.5Measurement system analysis (MSA)
  6. 11.6Maintenance and recalibration
  7. 11.7Measurement data management
  8. 11.8Cost and return
  9. 11.9Laser safety regulations
  10. 11.10Practical: specification of an inspection station
  1. 12.1Measurement problem and requirements
  2. 12.2Technology selection
  3. 12.3System calibration
  4. 12.4Capture and reconstruction
  5. 12.5Processing and analysis
  6. 12.6Uncertainty evaluation
  7. 12.7Validation against a reference
  8. 12.8Implementation proposal
  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 materials, 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 OpenCV, Open3D, COLMAP, PolyWorks and GOM Inspect, in free, academic or evaluation versions. Testing is studied through real procedures: calibration of stereo systems, repeatability and reproducibility studies and inspection against a CAD model. Assessment is continuous for each module, plus the final Master's Thesis.

Standards covered: ISO 10360-8, VDI/VDE 2634-2, ISO/IEC Guide 98-3 (GUM), JCGM 200 (VIM), ISO 1101, ISO 14253-1, IEC 60825-1, ISO 15530-3.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of ISO 10360-8, VDI/VDE 2634-2 and the GUM applied to real cases, not as a theoretical annex.
Industry software:OpenCV, Open3D, COLMAP, PolyWorks and GOM Inspect, in free, academic or evaluation versions.
Master's Thesis with defence:A 3D measurement system for a real measurement problem, from technology selection and calibration to uncertainty evaluation and an implementation proposal, 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.

Requirements and technology
Define the measurement problem and select the capture technology.
System calibration
Calibrate the 3D measurement system.
Capture and reconstruction
Capture, reconstruct and process the measured data.
Uncertainty and validation
Evaluate measurement uncertainty and validate against a reference.
Master's Thesis
Complete 3D measurement system with an implementation proposal, defended before a panel.
Career opportunities

Where this takes you

3D vision engineerDimensional metrologistOptical inspection engineer3D scanning specialistVision-guided robotics engineer3D reconstruction researcher
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 OpenCV, Open3D, COLMAP, PolyWorks and GOM Inspect, 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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