Master’s in Race Software & DevOps for the Pit Wall Engineering
Online master's programme of 1,900 hours in race software engineering and DevOps for the pit wall, structured in 12 modules covering pit-wall architecture, telemetry, CI/CD, containers, networking, cybersecurity and observability, with an assigned technical tutor.
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What you will be able to do
Design software architectures for the pit wall with real-time requirements.
Implement continuous integration and deployment pipelines adapted to race calendars.
Manage telemetry flows from the car through to the strategy tools.
Containerise and orchestrate services to run in the paddock and at the factory.
Apply cybersecurity to garage networks and remote data links.
Monitor critical services with metrics, alerts and traces.
Develop a complete pit-wall system with reproducible deployment.
Who it's for
- Pit-wall software engineers looking to deepen their DevOps and architecture skills.
- Motorsport DevOps engineers responsible for trackside deployments.
- Telemetry engineers handling data from car to garage and factory.
- Race data architects designing time-series and messaging platforms.
- Strategy tools engineers building live decision-support software.
- Racing team IT managers running garage and factory infrastructure.
- Engineering or science graduates aiming to join formula and prototype teams.
What you'll work with
- FIA International Sporting Code (sporting rules for international motorsport)
- FIA Formula One Technical Regulations (technical rules for F1 cars and systems)
- ISO/IEC 27001 (information security management)
- ISO/SAE 21434 (road vehicle cybersecurity engineering)
- ISO 26262-6 (functional safety: software level)
- ASAM MDF 4.x (measurement data file format)
- ASAM XCP (calibration and measurement protocol)
- IEC 62443-3-3 (security requirements for industrial systems)
- Git and GitLab CI
- Docker and Kubernetes
- Grafana
- Python
- MATLAB/Simulink
12 modules · 1900 h
1.1Pit-wall and garage roles1.2Data flow between car, garage and factory1.3Strategy, timing and video tools1.4Regulatory restrictions on software and telemetry1.5Deployment windows over a race weekend1.6Availability requirements during sessions1.7Remote operations centre and factory support1.8Managing licences and hardware on the road1.9Operational risks of trackside software1.10Case study: service map of a team
2.1Microservices versus monolith in racing2.2Message queues with Kafka and MQTT2.3Time-series databases2.4API design for engineering tools2.5Synchronisation with official timing2.6Local caching and offline operation2.7Scaling between factory and circuit2.8Fault-tolerance patterns2.9Architecture documentation with C42.10Workshop: designing a pit-wall architecture
3.1Loggers, ECUs and acquisition channels3.2Radio telemetry links and their bandwidth3.3ASAM MDF formats and proprietary files3.4Decoding CAN and CAN FD frames3.5Channel compression and prioritisation3.6End-to-end latency and how to measure it3.7Time synchronisation with PTP and GPS3.8Data integrity validation3.9Replaying recorded sessions3.10Lab: real-time telemetry ingestion
4.1Branching strategies for race weekends4.2Code review and pull requests4.3Unit testing in Python and C++4.4Static analysis and linters4.5Semantic versioning of tools4.6Dependency and environment management4.7Traceability between requirements and code4.8Configuration management of car set-ups4.9Software quality metrics4.10Practical: repository with automated tests
5.1Pipeline design in GitLab CI5.2Reproducible artefact builds5.3Integration testing with real data5.4Blue-green and canary deployment5.5Change freeze before a session5.6Fast rollback in the garage5.7Signing and verifying binaries5.8Secrets management in pipelines5.9DORA metrics applied to racing5.10Workshop: deployment pipeline for the paddock
6.1Lightweight, secure Docker images6.2Kubernetes clusters in travel racks6.3K3s and edge orchestration6.4Persistent storage at the circuit6.5Service networking and load balancing6.6Declarative configuration with Helm6.7Infrastructure as code with Terraform6.8Garage hardware and thermal constraints6.9Backing up session data6.10Lab: portable garage cluster
7.1Network topology of a garage7.2VPNs and dedicated links to the factory7.3Quality of service for video and data7.4Link redundancy and failover7.5Wi-Fi in RF-saturated environments7.6Voice communications and their integration7.7Real-time network monitoring7.8Promoter restrictions on connectivity7.9Diagnosing outages during a session7.10Case study: link failure in qualifying
8.1Attack surface of a racing team8.2Protecting technical intellectual property8.3Network segmentation with IEC 624438.4Identity and access management8.5Hardening servers and laptops8.6Intrusion detection in the garage8.7Incident response during the event8.8Vehicle cybersecurity under ISO/SAE 214348.9Staff training and awareness8.10Practical: threat analysis of a pit wall
9.1Metrics with Prometheus9.2Dashboards in Grafana9.3Distributed tracing with OpenTelemetry9.4Centralised log management9.5Service level objectives during sessions9.6Alerts and on-call during the event9.7Blameless post-mortems9.8Server capacity management9.9Controlled chaos testing9.10Workshop: pit-wall health dashboard
10.1Lap and sector visualisation10.2Live tyre degradation models10.3Race strategy simulators10.4Integration with official timing10.5Engineering alerts on critical channels10.6Interfaces for trackside engineers10.7Desktop application performance10.8Comparisons with reference laps10.9Machine learning on the pit wall10.10Practical: connected strategy tool
11.1Agile planning aligned with the calendar11.2Prioritising engineering requests11.3Technical debt management11.4Suppliers and third-party software11.5Cost caps and their impact on IT11.6User training in the garage11.7Operational documentation and runbooks11.8Service indicators for technical management11.9Managing distributed teams11.10Case study: a season for an IT team
12.1System definition and requirements12.2Architecture and technology selection12.3Implementation of core services12.4Continuous integration pipeline12.5Testing with recorded sessions12.6Deployment rehearsal in a simulated environment12.7Measuring latency and availability12.8System security analysis12.9Master's Thesis report12.10Master's Thesis: defence before a panel
How you'll learn
The programme is delivered 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 Git and GitLab CI, Docker and Kubernetes, Grafana, Python and MATLAB/Simulink, in free, academic or evaluation versions. Exercises are based on real procedures: deploying pit-wall software over a simulated race weekend, analysing the latency of the car-to-garage telemetry link and recovering from server failures in the paddock. Assessment is continuous by module, plus the final Master's Thesis.
Standards covered: FIA International Sporting Code, FIA Formula One Technical Regulations, ISO/IEC 27001, ISO/SAE 21434, ISO 26262-6, ASAM MDF 4.x, ASAM XCP, IEC 62443-3-3.
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
- University degree in engineering, science or architecture, or equivalent demonstrable professional experience.
- Internet connection and a computer able to run the programme's 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 Git and GitLab CI, Docker and Kubernetes, Grafana, Python and MATLAB/Simulink, 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 suitable computer and internet connection, 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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