Master’s in Resilient GNSS-Free Localisation Engineering
Online master's programme of 1,900 hours in resilient GNSS-denied localisation engineering, with 12 modules covering inertial navigation, odometry, filtering and estimator fusion, LiDAR, visual and radar SLAM, local positioning infrastructure, GNSS resilience, map-based localisation, integrity and validation, with an assigned technical tutor.
Master’s in Resilient GNSS-Free Localisation Engineering — studying from Singapore
Singapore's off-road and special vehicle sector is smaller than in larger industrial economies but serves port operations, construction, airport ground support and marine logistics. Equipment such as cranes, forklifts and specialised port machinery is maintained and developed locally. The Ministry of Manpower and the Land Transport Authority set safety and operating standards. Employers include port operators, construction groups and heavy equipment dealers.
Fees for Singapore: S$11,300 (Singapore dollar), with instalments and employer sponsorship available.
Relevant bodies in Singapore
Typical roles
Questions from Singapore
Will this qualification be recognised by professional bodies in Singapore?
SEIUM's qualifications are private, not official state degrees, and are not accredited by any national body in Singapore. Engineers may seek Professional Engineer registration through the Professional Engineers Board, and machinery work may also involve Workplace Safety and Health requirements set by the Ministry of Manpower. Recognition of a private qualification is decided by employers or the relevant body.
How might this training be used by employers in Singapore?
Singapore's construction, port, logistics, marine and industrial sectors use heavy machinery and special vehicles, so these skills may be relevant to maintenance, design and equipment engineering roles. The programme does not guarantee employment. Employers usually weigh practical experience, safety knowledge and project work alongside any qualification.
Can I study this alongside a full-time job, and can my employer help fund it?
Study is fully online and in English, with an assigned technical tutor, so you can fit it around work from home in Singapore. Workload ranges from 300 to 1,900 hours depending on the programme. Fees can be paid in instalments, and employer sponsorship is possible; many Singapore employers fund job-relevant training, so ask your management.
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
Define localisation and integrity requirements.
Model inertial sensors and their errors.
Combine odometry, IMU and perception in an estimator.
Implement SLAM with LiDAR, vision and radar.
Deploy local positioning infrastructure.
Detect and mitigate GNSS interference.
Validate localisation systems in real environments.
Who it's for
- Localisation and navigation engineers working where GNSS is degraded or unavailable.
- Sensor fusion engineers building estimators with IMU, odometry and perception.
- SLAM engineers developing mapping for mines, tunnels and forests.
- GNSS systems engineers who need resilience against jamming and spoofing.
- Mining autonomy engineers deploying machines underground.
- Field robotics researchers working on robust navigation.
- Engineering or science graduates looking to enter underground mining.
What you'll work with
- ISO 17757 (safety of autonomous machines in mining)
- IEEE 802.15.4z (ultra-wideband)
- IEEE 1588 (precision time protocol)
- RTCM 10403 (GNSS differential corrections)
- ISO 21448 (safety of the intended functionality)
- UNE-EN ISO 13849-1 (safety of control systems)
- ROS 2
- MATLAB Navigation Toolbox
- GTSAM
- RTKLIB
12 modules · 1900 h
1.1Accuracy requirements by application1.2Integrity and protection levels1.3Underground mines, tunnels and forests1.4Degradation due to multipath and obstruction1.5GNSS signal jamming and spoofing1.6Resilient localisation architecture1.7Localisation performance metrics1.8Correction formats and standards1.9Market for positioning solutions1.10Case study: localisation requirements in an underground mine
2.1Inertial navigation equations2.2MEMS and fibre-optic sensors2.3Bias and drift errors2.4Initial system alignment2.5Mechanisation in a local frame2.6Sensor error models2.7Allan variance analysis2.8Selection of inertial units2.9Calibration of inertial units2.10Lab: Allan variance of an IMU
3.1Wheel odometry in machines3.2Slip on loose ground3.3Odometry of articulated machines3.4Odometry of tracked vehicles3.5Non-holonomic constraints3.6Visual odometry with cameras3.7LiDAR odometry3.8Radar odometry3.9Comparison of odometry techniques3.10Practical: odometry of an articulated loader
4.1Linear Kalman filter4.2Extended Kalman filter4.3Unscented Kalman filter4.4Particle filters4.5Factor graph optimisation4.6Tightly coupled fusion4.7Robustness against outlier measurements4.8Observability analysis4.9Covariance tuning4.10Lab: IMU and odometry fusion with an EKF
5.1Point cloud registration5.2LOAM methods and derivatives5.3Loop closure detection5.4Map building5.5Scalability on large sites5.6Repetitive galleries and symmetries5.7Geometric degeneracy of the environment5.8Open SLAM tools5.9Drift evaluation5.10Practical: LiDAR SLAM in a gallery
6.1Monocular and stereo visual SLAM6.2Visual-inertial odometry indoors6.3Radar-based SLAM6.4Poor lighting in mines6.5Dust and fog in vision6.6Feature extraction6.7Robustness to environmental changes6.8Comparison between modalities6.9Software tools6.10Lab: visual-inertial odometry
7.1Ultra-wideband beacons7.2Wi-Fi ranging7.3Fixed visual markers7.4Ground-based positioning pseudolites7.5Positioning with RFID tags7.6Positioning in 5G networks7.7Robotic total stations7.8Infrastructure deployment7.9Installation and maintenance costs7.10Case study: UWB beacon network in a tunnel
8.1Types of intentional interference8.2GNSS signal spoofing8.3Interference detection8.4Controlled reception pattern antennas8.5Use of multiple constellations8.6Receiver autonomous integrity monitoring8.7Galileo navigation message authentication8.8Real-time monitoring8.9Response to GNSS loss8.10Practical: interference detection in a GNSS signal
9.1Prior site maps9.2Map matching to internal haul roads9.3Localisation in point maps9.4Terrain elevation maps9.5Continuous map updating9.6Environmental changes in mines and sites9.7Map version management9.8Map formats9.9Map quality and validation9.10Case study: localisation in a mine map
10.1Concept of navigation integrity10.2Protection levels10.3Localisation failure modes10.4Integrity monitoring10.5Relationship with functional safety10.6Integrity validation10.7Statistical integrity metrics10.8Validation data management10.9Certification of localisation systems10.10Case study: localisation integrity analysis
11.1Hardware selection11.2Software architecture11.3Integration in ROS 211.4Real-time requirements11.5Ground truth references11.6Field testing11.7Absolute and relative error metrics11.8Fleet deployment11.9System maintenance11.10Lab: validation against a survey reference
12.1Definition of the GNSS-denied scenario12.2Accuracy and integrity requirements12.3Sensor selection12.4Fusion architecture12.5Estimator implementation12.6Validation tests12.7Integrity analysis12.8Cost analysis12.9Thesis 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 the intake, so you can combine it with your job.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is ROS 2, MATLAB Navigation Toolbox, GTSAM and RTKLIB, in free, academic or evaluation versions. Testing is studied through real procedures for localisation validation in galleries, inertial and odometry fusion tests and GNSS interference detection. Assessment is continuous by module, plus the final Master's Thesis.
Standards covered: ISO 17757, IEEE 802.15.4z, IEEE 1588, RTCM 10403, ISO 21448, UNE-EN ISO 13849-1.
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
- A university degree in engineering, science or architecture, or equivalent demonstrable professional experience.
- 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.
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 ROS 2, MATLAB Navigation Toolbox, GTSAM and RTKLIB, 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 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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