Postgraduate DiplomaDefense, Military Engineering & Land Systems Applications open

Diploma in INS/Visual Navigation in GPS-Denied Environments

Online postgraduate diploma of 800 hours in INS/visual navigation in GPS-denied environments. 8 modules covering inertial navigation, inertial sensor characterisation, visual odometry, INS/visual fusion, multi-sensor calibration, complementary aids and testing, with an assigned technical tutor.

Duration800 hours · 6–8 months
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma

Diploma in INS/Visual Navigation in GPS-Denied Environments — studying from the United Kingdom

The United Kingdom maintains a substantial defence industry, with prime contractors such as BAE Systems and Babcock, and a wide supply chain across the Midlands, the North West, Bristol and Scotland. Land systems, armoured vehicles, munitions and military engineering programmes provide long-term employment for engineers in design, integration, test and sustainment. The Ministry of Defence, Defence Equipment and Support and the Defence Science and Technology Laboratory oversee procurement and research. Security clearance requirements shape recruitment, and professional standards are maintained through UK defence engineering frameworks.

Fees for the United Kingdom: £1,490 (Pound sterling), with instalments and employer sponsorship available.

Relevant bodies in the United Kingdom

  • Ministry of Defence (MoD)
  • Defence Equipment and Support (DE&S)
  • Association of Defence and Security Industries (ADS)
  • Institution of Engineering and Technology (IET)

Typical roles

  • Defence Systems Engineer
  • Land Systems Engineer
  • Military Vehicle Design Engineer
  • Defence Integration Engineer

Questions from the United Kingdom

Which UK bodies and regulators are relevant to defence and military land systems engineering?

In the UK, the Ministry of Defence sets its own engineering standards and the Engineering Council regulates professional registration. Professional bodies such as the Institution of Mechanical Engineers (IMechE) and the Royal Engineers' professional structures are relevant. SEIUM's qualifications are private and not accredited by these bodies, so recognition for security-cleared or MOD roles is decided by the employer and the relevant authority.

Will a private qualification help with UK defence industry careers?

UK defence employers, including primes and suppliers, often prioritise security clearance eligibility, relevant experience and formal qualifications recognised by the MOD or industry bodies. A private qualification may support your profile but is unlikely to replace these requirements. Ask prospective employers how they would assess it before enrolling.

Is it practical to study this online while working in the UK, and what about language and funding?

Online study means you can continue working in the UK, and no student visa is needed to study from home. Teaching is in English, so good technical English is essential. Fees can be paid in instalments, and some employers offer training sponsorship, though policies vary. Each programme has a fixed number of hours and an assigned technical tutor. Confirm the workload and costs before enrolling.

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Learning outcomes

What you will be able to do

01

Understand the principles of inertial navigation and its errors.

02

Model inertial sensors and characterise their noise.

03

Apply visual odometry techniques to limit drift.

04

Design tightly coupled INS/visual fusion filters.

05

Calibrate multi-sensor systems accurately.

06

Assess navigation solutions in GNSS-denied environments.

07

Validate performance in line with test standards.

Profile

Who it's for

  • Navigation engineers.
  • Sensor fusion specialists.
  • Inertial systems engineers.
  • Computer vision researchers.
  • Autonomous vehicle engineers.
  • Navigation test engineers.
  • Engineering or science graduates looking to enter the defence sector.
Standards & tools

What you'll work with

  • IEEE 952 (fibre optic gyroscopes)
  • IEEE 1293 (linear accelerometers)
  • IEEE 1554 (inertial sensor test practices)
  • IEEE 528 (inertial sensor terminology)
  • MIL-STD-810H (environmental testing)
  • RTCA DO-160G (environmental conditions for airborne equipment)
  • MATLAB Navigation Toolbox
  • Kalibr
  • OpenVINS
  • VINS-Fusion
  • GTSAM
Syllabus

8 modules

  1. 1.1Reference frames and transformations
  2. 1.2Strapdown navigation equations
  3. 1.3Initial alignment
  4. 1.4Propagation of inertial errors
  5. 1.5Schuler oscillation
  6. 1.6Stabilised platforms versus strapdown
  7. 1.7IMU quality grades
  8. 1.8Drift in GNSS-denied environments
  9. 1.9High-end inertial navigation
  10. 1.10Practical exercise: strapdown mechanisation in MATLAB
  1. 2.1MEMS, FOG and RLG gyroscopes
  2. 2.2MEMS and servo accelerometers
  3. 2.3Error models: bias, scale factor and misalignment
  4. 2.4Allan variance
  5. 2.5Calibration on a rate table
  6. 2.6Temperature effects
  7. 2.7Testing according to IEEE 1554
  8. 2.8Vibration and shock
  9. 2.9Quantisation and random noise
  10. 2.10Lab: Allan variance of an IMU
  1. 3.1Camera models and calibration
  2. 3.2Feature detection and tracking
  3. 3.3Epipolar motion estimation
  4. 3.4Stereo visual odometry
  5. 3.5Direct methods
  6. 3.6Scale in monocular systems
  7. 3.7Event cameras
  8. 3.8Robustness to lighting
  9. 3.9Optical flow and its use in navigation
  10. 3.10Practical exercise: stereo visual odometry outdoors
  1. 4.1Error-state Kalman filter
  2. 4.2Loose and tight coupling
  3. 4.3MSCKF and OpenVINS
  4. 4.4Sliding-window optimisation
  5. 4.5Inertial preintegration
  6. 4.6System observability
  7. 4.7Visual-inertial initialisation
  8. 4.8Outlier management
  9. 4.9Lidar-inertial navigation
  10. 4.10Lab: visual-inertial fusion with OpenVINS
  1. 5.1Intrinsic camera calibration
  2. 5.2Extrinsic camera-IMU calibration
  3. 5.3Time synchronisation
  4. 5.4Calibration with Kalibr
  5. 5.5Online calibration
  6. 5.6Calibration stability
  7. 5.7Lidar and other auxiliary sensors
  8. 5.8Mounting errors
  9. 5.9Magnetometer calibration
  10. 5.10Practical exercise: full calibration of a system
  1. 6.1Odometers and vehicle constraints
  2. 6.2Magnetometers and their compensation
  3. 6.3Barometers and altimetry
  4. 6.4Terrain-referenced navigation
  5. 6.5Signals of opportunity
  6. 6.6Prior maps and relocalisation
  7. 6.7Zero-velocity updates
  8. 6.8Integration in a modular architecture
  9. 6.9Cooperative navigation between platforms
  10. 6.10Case study: pedestrian navigation with ZUPT
  1. 7.1Reference trajectories
  2. 7.2Position and attitude error metrics
  3. 7.3Tests in tunnels and car parks
  4. 7.4MIL-STD-810H environmental testing
  5. 7.5Integrity and covariance estimation
  6. 7.6Fault monitoring
  7. 7.7Documentation of results
  8. 7.8Legal aspects of navigation use
  9. 7.9Electromagnetic compatibility testing
  10. 7.10Workshop: GNSS-denied test campaign
  1. 8.1Definition of navigation requirements
  2. 8.2Sensor selection
  3. 8.3System calibration
  4. 8.4Implementation of the fusion filter
  5. 8.5Acquisition of test data
  6. 8.6Drift assessment
  7. 8.7Sensitivity analysis
  8. 8.8Conclusions and future work
  9. 8.9Report and presentation
  10. 8.10Final project: final review with the tutor
Methodology, software & labs

How you'll learn

100% online learning 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 Navigation Toolbox, Kalibr, OpenVINS, VINS-Fusion and GTSAM, in free, academic or evaluation versions. Practical work is based on real procedures: camera-IMU calibration with Kalibr, drift assessment on a GNSS-denied route and Allan variance analysis of an IMU. Assessment is continuous by module plus the final project.

Standards covered: IEEE 952, IEEE 1293, IEEE 1554, IEEE 528, MIL-STD-810H, RTCA DO-160G.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of IEEE 1554, IEEE 952 and MIL-STD-810H applied to real cases, not as a theoretical annex.
Industry software:MATLAB Navigation Toolbox, Kalibr, OpenVINS, VINS-Fusion and GTSAM, in free, academic or evaluation versions.
Final project:An INS/visual navigation project, from sensor selection and calibration to fusion filter implementation and drift assessment, 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.

Strapdown mechanisation
Implement strapdown navigation equations in MATLAB and analyse error propagation.
IMU noise characterisation
Characterise an IMU with Allan variance analysis.
Camera-IMU calibration
Calibrate a camera-IMU system with Kalibr, including time synchronisation.
Visual-inertial fusion
Fuse inertial and visual data with OpenVINS on a GNSS-denied route.
Final project
Design, calibrate and evaluate an INS/visual navigation system against defined requirements.
Career opportunities

Where this takes you

Navigation engineerSensor fusion specialistInertial systems engineerComputer vision researcherAutonomous vehicle engineerNavigation test engineer
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 Navigation Toolbox, Kalibr, OpenVINS, VINS-Fusion and GTSAM, 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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