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Master’s in Sensors and Physical Instrumentation Engineering

Online master's programme of 1,900 hours in sensors and physical instrumentation engineering. 12 modules covering metrology, measurement uncertainty to the GUM, temperature, mechanical, flow, optical, magnetic and chemical sensors, signal conditioning, data acquisition, smart sensors and calibration under ISO/IEC 17025, with an assigned technical tutor.

Duration1900 h
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma
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Learning outcomes

What you will be able to do

01

Analyse the physical transduction principles of sensors.

02

Select sensors according to range, accuracy, bandwidth and environment.

03

Design signal conditioning and acquisition chains.

04

Calculate measurement uncertainty in accordance with the GUM.

05

Calibrate instruments with metrological traceability.

06

Integrate smart sensors and measurement networks.

07

Validate instrumentation systems under real conditions.

Profile

Who it's for

  • Instrumentation engineers designing measurement systems.
  • Sensor engineers selecting and characterising transducers.
  • Metrology engineers working with uncertainty and traceability.
  • Data acquisition systems engineers using LabVIEW or Python.
  • Transducer R&D engineers developing new sensing principles.
  • Calibration laboratory managers working under ISO/IEC 17025.
  • Engineering or science graduates seeking to move into scientific instrumentation.
Standards & tools

What you'll work with

  • JCGM 100:2008 GUM (guide to the expression of uncertainty in measurement)
  • JCGM 200:2012 VIM (International Vocabulary of Metrology)
  • ISO/IEC 17025 (competence of testing and calibration laboratories)
  • IEC 60751 (industrial platinum resistance thermometers)
  • IEC 60584 (thermocouples)
  • IEC 61010-1 (safety of measurement, control and laboratory equipment)
  • IEEE 1451 (smart transducer interfaces)
  • IEC 61298 (process measurement and control devices)
  • LabVIEW
  • MATLAB
  • Python with NumPy and SciPy
  • COMSOL Multiphysics
  • LTspice
Syllabus

12 modules · 1900 h

  1. 1.1Concepts of the International Vocabulary of Metrology
  2. 1.2Accuracy, precision and resolution
  3. 1.3Sensitivity, linearity and hysteresis
  4. 1.4Dynamic response and bandwidth
  5. 1.5Drift, stability and ageing
  6. 1.6Systematic and random errors
  7. 1.7Sensor datasheets
  8. 1.8International System of Units and its redefinition
  9. 1.9Metrological traceability and the calibration chain
  10. 1.10Case study: interpreting a datasheet
  1. 2.1Measurement model and influence quantities
  2. 2.2Type A and Type B evaluations
  3. 2.3Propagation of uncertainties
  4. 2.4Sensitivity coefficients
  5. 2.5Expanded uncertainty and coverage factor
  6. 2.6Monte Carlo method of Supplement 1
  7. 2.7Uncertainty budget
  8. 2.8Statements of conformity with uncertainty
  9. 2.9Uncertainty in acquisition systems
  10. 2.10Practical: uncertainty budget for a temperature measurement
  1. 3.1Platinum resistance thermometers, IEC 60751
  2. 3.2Thermocouples and cold-junction compensation
  3. 3.3NTC and PTC thermistors
  4. 3.4Integrated silicon sensors
  5. 3.5Pyrometry and infrared thermography
  6. 3.6Self-heating and conduction errors
  7. 3.7Mounting and thermal contact
  8. 3.8Calibration in baths and furnaces
  9. 3.9Selection by application
  10. 3.10Lab: four-wire PT100 measurement
  1. 4.1Strain gauges and Wheatstone bridges
  2. 4.2Load cells and force measurement
  3. 4.3Piezoresistive pressure sensors
  4. 4.4Capacitive displacement sensors
  5. 4.5LVDT differential transformers
  6. 4.6Optical and magnetic encoders
  7. 4.7Piezoelectric vibration sensors
  8. 4.8MEMS accelerometers and gyroscopes
  9. 4.9Torque and strain measurement
  10. 4.10Practical: full-bridge load cell
  1. 5.1Electromagnetic flowmeters for conductive liquids
  2. 5.2Ultrasonic flowmeters
  3. 5.3Coriolis mass flowmeters
  4. 5.4Differential pressure meters
  5. 5.5Hot-wire thermal anemometry
  6. 5.6Radar level sensors
  7. 5.7Capacitive and ultrasonic level sensors
  8. 5.8Installation and flow profile effects
  9. 5.9Flowmeter calibration
  10. 5.10Case study: selecting a process flowmeter
  1. 6.1Photodiodes and phototransistors
  2. 6.2CCD and CMOS image sensors
  3. 6.3Optical absorption and emission spectrometry
  4. 6.4Fibre Bragg grating sensors
  5. 6.5Interferometry for displacement
  6. 6.6Lidar and time-of-flight distance measurement
  7. 6.7Ionising radiation detectors
  8. 6.8Infrared absorption gas sensors
  9. 6.9Radiometric calibration of detectors
  10. 6.10Lab: transimpedance amplifier for a photodiode
  1. 7.1Hall-effect sensors
  2. 7.2AMR and GMR magnetoresistors
  3. 7.3Fluxgate magnetometers
  4. 7.4Electrochemical gas sensors
  5. 7.5pH and conductivity sensors
  6. 7.6Humidity sensors
  7. 7.7Biosensors and medical sensors
  8. 7.8Particle sensors
  9. 7.9Selectivity and cross-sensitivity
  10. 7.10Practical: current measurement with a Hall sensor
  1. 8.1Instrumentation amplifiers
  2. 8.2Anti-aliasing filters for acquisition
  3. 8.3Sensor excitation
  4. 8.4Galvanic isolation of channels
  5. 8.5Input protection
  6. 8.6Noise and shielding
  7. 8.7Analogue and digital linearisation
  8. 8.84–20 mA interfaces
  9. 8.9Integrated sensor front-ends
  10. 8.10Workshop: conditioning chain for strain gauges
  1. 9.1Acquisition system architectures
  2. 9.2Converters for instrumentation
  3. 9.3Simultaneous and multiplexed sampling
  4. 9.4Synchronisation and timestamps
  5. 9.5Acquisition with LabVIEW
  6. 9.6Digital processing of measurements
  7. 9.7Data storage and management
  8. 9.8Networked distributed acquisition
  9. 9.9Validation of the acquisition system
  10. 9.10Lab: multichannel acquisition system in LabVIEW
  1. 10.1Sensors with digital output
  2. 10.2I2C, SPI and IO-Link buses
  3. 10.3The IEEE 1451 standard
  4. 10.4Wireless sensor networks
  5. 10.5Sensors in the Internet of Things
  6. 10.6Sensor fusion
  7. 10.7Sensor self-diagnostics
  8. 10.8Cybersecurity in measurement networks
  9. 10.9Node energy management
  10. 10.10Case study: wireless sensor node
  1. 11.1ISO/IEC 17025 accredited laboratories
  2. 11.2Standards and calibration hierarchy
  3. 11.3Calibration procedures
  4. 11.4Calibration intervals
  5. 11.5Validation of measurement systems
  6. 11.6Measurement system analysis (MSA)
  7. 11.7Equipment safety, IEC 61010-1
  8. 11.8Documentation and certificates
  9. 11.9Laboratory audits
  10. 11.10Practical: calibration procedure for a transducer
  1. 12.1Definition of the measurement problem
  2. 12.2Sensor selection
  3. 12.3Conditioning design
  4. 12.4Acquisition design
  5. 12.5Uncertainty budget
  6. 12.6System calibration
  7. 12.7Experimental validation of the system
  8. 12.8Conclusions and future work
  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 the intake, so it fits around your job.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is LabVIEW, MATLAB, Python with NumPy and SciPy, COMSOL Multiphysics and LTspice, in free, academic or evaluation versions. Work is based on real procedures: sensor calibration with uncertainty calculation, design of signal conditioning chains and experimental characterisation of transducers. Assessment is continuous per module, plus the final Master's Thesis.

Standards covered: JCGM 100:2008 (GUM), JCGM 200:2012 (VIM), ISO/IEC 17025, IEC 60751, IEC 60584, IEC 61010-1, IEEE 1451, IEC 61298.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of the GUM (JCGM 100:2008), the VIM (JCGM 200:2012) and ISO/IEC 17025 applied to real cases, not as a theoretical annex.
Industry software:LabVIEW, MATLAB, Python with NumPy and SciPy, COMSOL Multiphysics and LTspice, in free, academic or evaluation versions.
Master's Thesis with defence:The design, calibration and experimental validation of a complete instrumentation system with its uncertainty budget, 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.

Uncertainty budget
Build the uncertainty budget of a temperature measurement to the GUM.
Load cell bridge
Design a full-bridge load cell measurement with its conditioning chain.
Multichannel acquisition
Build a multichannel acquisition system in LabVIEW.
Transducer calibration
Write and apply a calibration procedure for a transducer.
Master's Thesis
A complete instrumentation system with calibration and uncertainty budget, defended before a panel.
Career opportunities

Where this takes you

Instrumentation engineerSensor engineerMetrology engineerData acquisition systems engineerTransducer R&D engineerCalibration laboratory manager
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 LabVIEW, MATLAB, Python with NumPy and SciPy, COMSOL Multiphysics 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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