Master’s in Multispectral Vision Engineering
Online master's programme of 1,900 hours in multispectral vision engineering, structured in 12 modules covering spectral sensors, radiometric calibration, chemometrics, spectral deep learning, industrial thermography and material sorting according to ASTM E1655-17, ISO 18434-1:2008 and ISO 9712:2021, with an assigned technical tutor.
Master’s in Multispectral Vision Engineering — studying from the United Kingdom
Robotics and automation are growing across the United Kingdom, from manufacturing and logistics to healthcare and research. Universities including Bristol, Oxford, Imperial College London and Edinburgh host robotics research, while the Robotics and Autonomous Systems hub and the Advanced Robotics Hub support collaboration with industry. Manufacturers, logistics operators and automation integrators employ engineers in control systems, sensing, programming and systems integration. Safety standards for collaborative robots shape deployment across industries.
Fees for the United Kingdom: £6,600 (Pound sterling), with instalments and employer sponsorship available.
Relevant bodies in the United Kingdom
Typical roles
Questions from the United Kingdom
Which UK bodies recognise robotics and control engineering, and how does SEIUM's training fit?
The Institution of Engineering and Technology and the Institution of Mechanical Engineers are the main UK professional bodies for control and automation engineers. Chartered status is awarded through the Engineering Council via accredited routes. SEIUM's private qualifications are not accredited by any national body, so any recognition by these institutions is their own decision.
Will UK robotics and automation employers value a private online qualification?
UK robotics and automation employers usually weigh practical projects, programming skills and relevant experience heavily. A private qualification can support your CV where it reflects applied control or robotics work, particularly a strong final project. Employers decide how much value to attach to it, so tailor your application to their stated requirements.
Can I balance this with a UK job, and is there support in English?
Yes. The programmes are 100% online, taught in English, and you are assigned a technical tutor for support. Study ranges from 300 to 1,900 hours, so plan your schedule accordingly. Fees are payable in instalments, and employer sponsorship is possible. No student visa is required because you study from within the UK.
Take the controls.
Run a real engineering trade-off from this field. Move the sliders, watch the model react in real time and beat the challenge.
What you will be able to do
Understand how radiation interacts with materials.
Select multispectral, hyperspectral and thermal sensors.
Carry out radiometric and spectral calibration of systems.
Preprocess spectral data cubes.
Develop chemometric and deep learning models.
Apply thermography to industrial inspection.
Integrate multispectral systems into production lines.
Who it's for
- Spectral vision engineers seeking a complete grounding from physics to deployment.
- Chemometrics specialists moving into imaging.
- Industrial thermographers.
- Waste sorting engineers.
- PAT process analysts in pharmaceutical or food production.
- Hyperspectral imaging researchers with an industrial focus.
- Engineering or science graduates seeking to enter the recycling sector.
What you'll work with
- ASTM E1655-17 (practices for infrared multivariate quantitative analysis)
- ISO 18434-1:2008 (condition monitoring: thermography, general procedures)
- ISO 9712:2021 (qualification and certification of NDT personnel)
- ASTM E2617-17 (validation of empirically derived multivariate calibrations)
- EMVA 1288 (characterisation of machine vision cameras and sensors)
- ICH Q2(R2) (validation of analytical procedures)
- ENVI
- Perception Studio
- Spectral Python (SPy)
- PLS_Toolbox
- Unscrambler X
12 modules · 1900 h
1.1Visible, NIR, SWIR and LWIR spectrum1.2Light-matter interaction: reflection and absorption1.3Spectral signatures of materials1.4Radiometry and photometric quantities1.5Emissivity and Planck's law1.6Broadband illumination sources1.7Multiband LED illumination1.8Atmospheric transmission and spectral windows1.9Effects of temperature and humidity1.10Practical: reflectance measurement with a spectrometer
2.1Silicon CMOS sensors2.2InGaAs detectors for SWIR2.3Microbolometers for thermal infrared2.4Mosaic filter cameras2.5Pushbroom and line scanners2.6Snapshot hyperspectral cameras2.7Filter wheels and tunable filters2.8Signal-to-noise ratio and spectral resolution2.9Interfaces and data formats2.10Case study: selecting a SWIR camera
3.1Dark current correction3.2Calibration with a white reference3.3Illumination normalisation3.4Wavelength calibration3.5Non-uniformity correction3.6Thermal calibration with a blackbody3.7Band-to-band registration3.8Stability and recalibration3.9Certified reflectance standards3.10Lab: calibration of a hyperspectral cube
4.1Hyperspectral cubes and their structure4.2MSC and SNV scatter correction4.3Savitzky-Golay derivatives4.4Spectral noise reduction4.5Selection of relevant bands4.6Principal component analysis4.7Background segmentation4.8Normalised spectral indices4.9Handling large data volumes4.10Practical: cube preprocessing in Python
5.1PLS regression for chemical properties5.2PLS-DA discriminant analysis5.3Support vector machines5.4Random forests for spectra5.5SIMCA and class modelling5.6Cross-validation and external sets5.7RMSEP and prediction errors5.8Calibration transfer5.9Interpretation of coefficients5.10Workshop: PLS moisture model
6.11D networks for spectra6.23D spectral-spatial networks6.3Segmentation of hyperspectral cubes6.4Autoencoders for dimensionality reduction6.5Spectral anomaly detection6.6Scarce data and spectral augmentation6.7RGB and multispectral fusion6.8Real-time inference6.9Band explainability6.10Lab: spectral classification with a 1D network
7.1Principles of infrared thermography7.2Passive and active thermography7.3Pulsed and lock-in thermography7.4Detection of subsurface defects7.5Inspection of electrical panels7.6Measurement in thermal processes7.7Emissivity correction7.8ISO 9712 certification of thermographers7.9Thermographic testing standards7.10Practical: active thermographic inspection
8.1NIR-based plastic separation8.2Municipal solid waste recycling8.3Sorting of metals and glass8.4Textile quality control8.5Identification of black polymers8.6High-speed optical sorters8.7Synchronised pneumatic ejection8.8Purity and recovery of fractions8.9Circular economy and regulations8.10Case study: sorting PET and PE
9.1Ripeness and quality of fruit9.2Fat content in meat9.3Foreign body detection9.4Mycotoxins and contamination9.5Sorting of grains and seeds9.6In-line moisture analysis9.7Food safety and traceability9.8Validation of analytical methods9.9Integration into packaging lines9.10Practical: foreign body detection in NIR
10.1Pharmaceuticals: blend uniformity10.2Process analytical technology (PAT)10.3Detection of coatings and adhesives10.4Semiconductor inspection10.5Crop monitoring with drones10.6Mining and mineral characterisation10.7Infrared weld inspection10.8Art and cultural heritage10.9Multispectral satellite remote sensing10.10Case study: pharmaceutical blend control
11.1In-line illumination systems11.2Synchronisation with conveyor belts11.3GPU and FPGA processing11.4Communication with PLCs and ejectors11.5Spectral vision software11.6Edge architectures for hyperspectral imaging11.7Calibration maintenance11.8System validation in production11.9Costs and investment11.10Workshop: integrating an in-line sorter
12.1Definition of the spectral problem12.2Selection of the range and sensor12.3Acquisition and calibration design12.4Building the database12.5Development of the classification model12.6Integration and in-line testing12.7Performance analysis12.8Conclusions and industrial proposal12.9Master's Thesis report12.10Master's Thesis: defence before a panel
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 is compatible with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is ENVI, Perception Studio, Spectral Python (SPy), PLS_Toolbox and Unscrambler X, in free, academic or evaluation versions. Tests are studied on real procedures: calibration of hyperspectral cameras, chemometric quality models and thermographic inspection of components. Assessment is continuous by module, plus the final Master's Thesis.
Standards covered: ASTM E1655-17, ISO 18434-1:2008, ISO 9712:2021, ASTM E2617-17, EMVA 1288, ICH Q2(R2).
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Where this takes you
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.
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 ENVI, Perception Studio, Spectral Python (SPy), PLS_Toolbox and Unscrambler X, 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, plus 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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