Postgraduate Diploma in Fatigue Analytics and Operational Indicators
Online postgraduate diploma of 800 hours in fatigue analytics and operational indicators, with 8 modules covering fatigue in operations, fatigue risk management systems (FRMS), fatigue measurement, biomathematical models, operational data analytics, indicators and dashboards, and mitigation, with an assigned technical tutor.
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
Explain the physiological mechanisms of fatigue, sleep and circadian rhythms.
Design a data-driven fatigue risk management system.
Select objective and subjective methods for measuring fatigue.
Apply biomathematical models to predict fatigue in schedules.
Analyse operational data to identify risk patterns.
Build fatigue indicators and dashboards.
Propose mitigation interventions and assess their effectiveness.
Who it's for
- Fatigue risk managers in aviation and transport.
- Operational data analysts.
- Shift and crew planners.
- Human factors specialists.
- Safety managers.
- Occupational health consultants.
- Engineering or science graduates seeking to enter commercial aviation.
What you'll work with
- ICAO Doc 9966 (Manual for the Oversight of FRMS)
- Regulation (EU) 83/2014 (flight time limitations)
- Regulation (EC) 561/2006 (driving times and rest periods)
- Directive 2003/88/EC (organisation of working time)
- ISO 10075-1 (mental workload)
- ISO 45001 (occupational health and safety)
- SAFTE-FAST
- Python (pandas)
- R
- Power BI
8 modules · 800 h
1.1Physical, mental and sleep-related fatigue1.2Circadian rhythms and shift work1.3Sleep debt and recovery1.4Fatigue in aviation, transport and mining1.5Effects on performance and errors1.6Accidents attributable to fatigue1.7Biomathematical fatigue models1.8Individual and organisational factors1.9Fatigue management within the SMS1.10Case study: analysis of a fatigue-related accident
2.1FRMS according to ICAO Doc 99662.2Flight time and rest limitations2.3European FTL regulation2.4Policy and responsibilities2.5Hazard identification processes2.6Fatigue reporting2.7Training and promotion2.8FRMS audit2.9FRMS in road and rail transport2.10Practical exercise: designing a fatigue reporting procedure
3.1Subjective scales: Karolinska and Samn-Perelli3.2Psychomotor vigilance test (PVT)3.3Actigraphy and sleep diaries3.4Eyelid sensors and PERCLOS3.5Heart rate variability and fatigue3.6Field electroencephalography3.7In-cab detection systems3.8Validity and reliability of measures3.9Integrating multiple measures3.10Lab: analysis of actigraphy data
4.1Borbély two-process model4.2SAFTE-FAST model4.3Three-process model4.4Boeing Alertness Model4.5Inputs: schedules, sleep and time zone4.6Calibration and validation4.7Limitations of the models4.8Use in shift planning4.9Commercial tools4.10Practical exercise: alertness prediction with a two-process model
5.1Sources: rostering, telemetry and incidents5.2Data integration and modelling5.3Exploratory analysis of shifts5.4Correlation between fatigue and incidents5.5Regression and survival models5.6Machine learning for fatigue risk5.7Detecting high-risk shift patterns5.8Bias and confounding in operational data5.9Tools: Python, R and SQL5.10Workshop: analysis of shifts and safety events
6.1Leading and lagging indicators6.2Safety performance indicators (SPI)6.3Targets and alert thresholds6.4Role-based dashboards6.5Visualising risk by shift6.6Action tracking6.7Management review6.8Industry benchmarking6.9Data quality of indicators6.10Practical exercise: fatigue dashboard for a fleet
7.1Rotation and shift design7.2Controlled napping7.3Light and caffeine management7.4Rest environment design7.5Sleep hygiene training7.6Real-time alertness technologies7.7Evaluating effectiveness7.8Worker participation7.9Ethics and privacy in monitoring7.10Case study: shift redesign at a logistics terminal
8.1Defining the operational context8.2Data collection8.3Fatigue risk analysis8.4Applying biomathematical models8.5Defining indicators8.6Dashboard8.7Mitigation plan8.8Evaluation plan8.9Report and presentation8.10Final project: final review with the tutor
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 it fits around your job.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is SAFTE-FAST, Python (pandas), R and Power BI, in free, academic or evaluation versions. Practical work is based on real procedures: field studies with actigraphy, analysis of shift rosters and psychomotor vigilance testing. Assessment is continuous by module, plus the final integrative project.
Standards covered: ICAO Doc 9966, Regulation (EU) 83/2014, Regulation (EC) 561/2006, Directive 2003/88/EC, ISO 10075-1, ISO 45001.
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
- Prior technical training or professional experience in the sector. No university degree is required.
- A computer capable of running the programme software and an internet connection.
- 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 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 SAFTE-FAST, Python (pandas), R and Power BI, 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 suitable computer 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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