Diploma in Racing Instrumentation and Data-Driven Performance
Online postgraduate diploma of 800 hours in racing instrumentation and data-driven performance. 8 modules covering on-board instrument architecture, wind and motion sensors, calibration, polars and performance targets, sailing data analysis, software and programming, and data-driven team performance, with an assigned technical tutor.
Diploma in Racing Instrumentation and Data-Driven Performance — studying from Singapore
Singapore is one of the world's busiest ports and a major centre for marine and offshore engineering, including ship repair, shipbuilding for specialised vessels and offshore platform services. The Maritime and Port Authority of Singapore regulates shipping, port operations and marine safety. Engineers work on naval architecture, marine systems, offshore structures and vessel design. Employers include shipyards and offshore engineering firms clustered in the Tuas and Benoi areas.
Fees for Singapore: S$2,560 (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. Singapore's maritime and offshore sectors are regulated by the Maritime and Port Authority of Singapore, and engineers may seek Professional Engineer status through the Professional Engineers Board. Recognition of a private qualification rests with employers or the relevant body.
How might this training be used by employers in Singapore?
Singapore is a major maritime and offshore hub, with shipyards, offshore engineering firms and marine service providers. A naval or offshore engineering programme may support technical roles, but it does not guarantee employment. Employers will typically look at certifications, sea or project experience and your final project to judge your suitability.
Can I study this alongside a full-time job, and can my employer help fund it?
Because the course is fully online and in English, you can study from Singapore without relocating, and no student visa is needed for online study. Plan for the hours involved: 300 hours for a specialist course up to 1,900 hours for a master's. Fees can be paid in instalments, and employer sponsorship is possible, so raise it with your company's training team.
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
Design reliable marine instrumentation networks.
Select and install wind, motion and load sensors.
Calibrate instruments to obtain accurate true wind data.
Build and update performance polars from data.
Analyse manoeuvres and configurations with programming tools.
Integrate data analysis into team training.
Produce performance reports that are useful to the crew.
Who it's for
- Sailing performance analysts.
- Racing navigators.
- Marine electronics technicians.
- Sports data engineers.
- Racing team coaches.
- On-board systems integrators.
- Engineering or science graduates looking to enter competitive sailing.
What you'll work with
- IEC 61162-3 (NMEA 2000 serial data networks for marine equipment)
- IEC 61162-1 (NMEA 0183 single talker and multiple listeners)
- World Sailing Racing Rules of Sailing (rules governing yacht racing)
- World Sailing Equipment Rules of Sailing (equipment definitions and rules)
- IEC 60945 (general requirements for maritime navigation and radiocommunication equipment)
- ORC Rating Systems (Offshore Racing Congress handicap and VPP-based rating)
- Regulation (EU) 2016/679 (General Data Protection Regulation)
- Expedition
- B&G H5000 Race Processor
- Adrena
- Python with pandas
- Grafana
8 modules
1.1NMEA 0183 and NMEA 2000 networks1.2Proprietary buses and data gateways1.3Central race processors1.4Power supply and consumption management1.5Cabling, watertightness and electromagnetic compatibility1.6Mast displays and cockpit displays1.7High-frequency data logging1.8GNSS time synchronisation1.9Reliability and redundancy in ocean racing1.10Workshop: network diagram for a racer-cruiser
2.1Mechanical and ultrasonic anemometers2.2Paddlewheel and ultrasonic speed logs2.3Satellite compass and heading sensors2.4Inertial units for heel and pitch2.5Rudder angle measurement2.6Load sensors on rigging and sheets2.7Leeway and drift sensors2.8Sensor placement and up-wash effect2.9Maintenance and replacement during competition2.10Practical: fitting and testing a load sensor
3.1Speed log calibration over measured distances3.2Heel correction of apparent wind3.3True wind calibration tables3.4Compass deviation and compensation3.5Aligning the IMU with the boat's axis3.6Up-wash correction when sailing upwind3.7Cross-validation between tacks3.8Load sensor calibration3.9Documenting calibration status3.10Lab: true wind calibration under sail
4.1Theoretical polar curves from the VPP4.2Target speeds and optimum upwind angles4.3Real polars from logged data4.4Filtering steady-state sailing4.5Polar percentage as an indicator4.6Sail crossover charts4.7Performance in waves versus flat water4.8Seasonal polar updates4.9Communicating targets to the helmsman4.10Practical: building polars from a race log
5.1Cleaning and resampling time series5.2Analysis of tacks and gybes5.3Comparison of sail configurations5.4Study of manoeuvre losses5.5Correlating trim with boat speed5.6Analysis of starts and first beats5.7Analysis of wind shifts5.8Visualisation with performance maps5.9Post-race reports for the team5.10Case study: analysis of a race day
6.1Expedition tactical navigation software6.2Class analysis platforms6.3Python with pandas for sailing data6.4CSV, NMEA and binary log formats6.5Real-time on-board dashboards6.6Race and training databases6.7Report automation6.8Version control of analysis code6.9Privacy and ownership of team data6.10Workshop: Python script for tack analysis
7.1Data-driven training strategy7.2Two-boat testing and methodology7.3Design of experiments under sail7.4Metrics for crew and helmsmen7.5Integrating meteorology and currents7.6Class rules on permitted electronics7.7Use of data in offshore stage races7.8Navigator decision-making7.9Communication between analyst and crew7.10Case study: sail testing plan for a campaign
8.1Definition of the boat and race programme8.2Instrument network design8.3Initial calibration plan8.4Data capture during training8.5Building real polars8.6Analysis of manoeuvres and configurations8.7Performance dashboard for the team8.8Recommendations for the season8.9Report and presentation8.10Final project: final review with the tutor
How you'll learn
The programme 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 each intake, so it fits around your job.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is Expedition, B&G H5000 Race Processor, Adrena, Python with pandas and Grafana, in free, academic or evaluation versions. Testing is studied on real procedures: true wind calibration under sail, two-boat testing of sail configurations and data analysis of an offshore stage race. Assessment is continuous by module, plus the final project.
Standards covered: IEC 61162-3 (NMEA 2000), IEC 61162-1 (NMEA 0183), World Sailing Racing Rules of Sailing, World Sailing Equipment Rules of Sailing, IEC 60945, ORC Rating Systems, Regulation (EU) 2016/679 on data protection.
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.
- 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 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 Expedition, B&G H5000 Race Processor, Adrena, Python with pandas and Grafana, 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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