Master’s in Software-Defined Vehicle DevOps Engineering
Online master's programme of 1,900 hours in software-defined vehicle DevOps engineering, structured in 12 modules covering code management, continuous integration, continuous virtual testing, delivery to OTA, containers, infrastructure as code, DevSecOps, functional safety compliance and observability (ISO 26262, ISO/SAE 21434, UN ECE R156), with an assigned technical tutor.
Master’s in Software-Defined Vehicle DevOps Engineering — studying from Singapore
Singapore is a leading testbed for autonomous vehicles, with public road trials of driverless shuttles and robotaxis in districts such as one-north and Punggol. The Land Transport Authority coordinates the regulatory framework for autonomous mobility, while the Centre for Advanced Robotics at Nanyang Technological University and the Singapore Autonomous Vehicle initiatives drive research. Engineers work on perception, sensor fusion, vehicle software and simulation. Employers include automotive tier-one suppliers, technology firms and research institutes active across the region.
Fees for Singapore: S$8,450 (Singapore dollar), with instalments and employer sponsorship available.
Relevant bodies in Singapore
Typical roles
Questions from Singapore
Which Singapore authorities govern autonomous vehicle testing, and does SEIUM's qualification help with that?
Singapore's autonomous vehicle trials are regulated by the Land Transport Authority (LTA), which issues approvals for testing on public roads. Engineers may also register with the Professional Engineers Board (PEB). SEIUM's qualifications are private qualifications, not state degrees, and not accredited by any national body. Whether they are recognised for these roles is for employers and the relevant authorities to decide.
Which Singapore employers hire for ADAS and software-defined vehicle work?
Opportunities exist with autonomous vehicle trial operators, mobility companies, automotive electronics suppliers, and software and systems firms serving the vehicle industry. Singapore's smart mobility push supports these roles. Employers generally value demonstrable software skills, such as projects in embedded code, simulation or safety validation. Your final project can show this, but hiring decisions rest with each employer.
Is this workable part-time from Singapore, and can it be funded by an employer?
Yes, the programme is 100% online and taught in English, so you can study from home in Singapore without any student visa. Expect a heavy load: a master's is 1,900 hours, a postgraduate diploma 800 hours and a specialist course 300 hours. Fees are payable in instalments, and employer sponsorship is possible, though approval depends on your company's training policy.
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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
Apply DevOps principles to vehicle software development.
Design continuous integration pipelines for embedded targets.
Automate virtual testing in the pipeline.
Implement continuous delivery to OTA systems.
Integrate security and SBOM generation into the pipeline.
Automate functional safety evidence.
Develop a DevOps project for the SDV.
Who it's for
- Automotive DevOps engineers modernising vehicle software delivery.
- Platform engineers building internal developer platforms.
- Continuous integration engineers working with embedded targets.
- DevSecOps engineers integrating security into automotive pipelines.
- SRE engineers applying reliability practices to vehicles in service.
- Toolchain managers responsible for development tools and processes.
- Engineering or science graduates seeking to enter the automotive sector.
What you'll work with
- ISO 26262 (functional safety of road vehicles)
- ISO/SAE 21434 (road vehicle cybersecurity engineering)
- UN ECE R156 (software updates and update management systems)
- Automotive SPICE 4.0 (automotive software process assessment model)
- ISO 24089 (road vehicles – software update engineering)
- SLSA v1.0 (supply-chain levels for software artefacts)
- SPDX (ISO/IEC 5962) (software bill of materials format)
- UN ECE R155 (cybersecurity management systems)
- GitLab CI
- Bazel
- Yocto Project
- Kubernetes
- Terraform
12 modules · 1900 h
1.1DevOps principles applied to automotive1.2Differences from web DevOps1.3Safety and type-approval constraints1.4DevOps culture and organisation1.5Value stream of vehicle software1.6DORA metrics in automotive1.7Ecosystem tools1.8Cases from leading manufacturers1.9Barriers to adoption1.10Case study: DevOps maturity assessment
2.1Monorepo versus multirepo2.2Trunk-based branching strategies2.3Code reviews and pull requests2.4Software dependency management2.5Variant management with feature flags2.6Integration of supplier software2.7Open-source software and licences2.8Commit signing and provenance2.9Git tools at scale2.10Lab: trunk-based workflow with reviews
3.1Reproducible build pipelines3.2Cross-compilation for embedded targets3.3Bazel and Yocto build systems3.4Distributed build caching3.5Static analysis in the pipeline3.6Automated unit testing3.7Code coverage and thresholds3.8Artefact management3.9Pipeline parallelisation3.10Practical: CI pipeline with Bazel
4.1Virtual ECUs in the pipeline4.2Automated SIL testing4.3Scenario simulation in CI4.4Service integration testing4.5Testing on shared HIL hardware4.6Test farms4.7Scenario-based regression testing4.8Managing flaky tests4.9Quality reports4.10Workshop: SIL in CI with containers
5.1Release pipelines for vehicles5.2Quality and approval gates5.3Software signing and packaging5.4Publishing to the OTA backend5.5Staged fleet deployments5.6Deployment to test fleets5.7Rollback and recovery5.8Vehicle configuration management5.9Release traceability5.10Lab: signed release to OTA
6.1Containers in the vehicle6.2Lightweight orchestration at the edge6.3Kubernetes in development and the cloud6.4Minimal and secure images6.5Resource management in containers6.6The SOAFEE reference architecture6.7Parity between cloud and vehicle6.8Image registry6.9Container security6.10Practical: service deployment on k3s
7.1Terraform and Ansible tools7.2Reproducible development environments7.3Dev containers and remote workstations7.4Test infrastructure management7.5Provisioning of simulation clusters7.6Secrets management7.7Elastic scaling in the cloud7.8Costs and FinOps7.9Infrastructure documentation7.10Workshop: test environment with Terraform
8.1Security integrated into the pipeline8.2SCA dependency analysis8.3SBOM generation8.4Vulnerability scanning8.5SAST static security analysis8.6DAST dynamic testing8.7Secrets management in CI8.8Artefact provenance with SLSA8.9ISO/SAE 21434 requirements8.10Lab: SBOM and scanning in CI
9.1DevOps compatible with ISO 262629.2Evidence automation9.3Traceability between requirements and tests9.4Qualification of CI tools9.5Controlled change management9.6Automotive SPICE and agility9.7Audits with pipeline data9.8Release for type approval9.9Documentation management9.10Practical: automatic verification evidence
10.1In-vehicle software telemetry10.2Logs, metrics and traces10.3OpenTelemetry in automotive10.4Monitoring of releases across the fleet10.5Incident management10.6Blameless post-mortem analysis10.7SRE applied to the vehicle10.8Service level objectives10.9Feedback to development10.10Case study: incident after an update
11.1Platform teams11.2Team topologies11.3Agile scaling with SAFe and LeSS11.4Collaboration with suppliers11.5Inner source practices11.6Software product management11.7Productivity measurement11.8Training and culture11.9Organisational transformation towards product11.10Workshop: design of an internal developer platform
12.1Assessment of the starting situation12.2Design of the toolchain12.3Continuous integration pipeline12.4Virtual testing strategy12.5Delivery pipeline to OTA12.6Security integration12.7Automation of verification evidence12.8Conclusions and roadmap12.9Thesis 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 each intake, making it compatible with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is GitLab CI, Bazel, Yocto Project, Kubernetes and Terraform, in free, academic or evaluation versions. Testing is studied through real procedures: continuous integration with virtual ECUs, SBOM generation and vulnerability scanning, and staged deployments to test fleets. Assessment is continuous for each module, plus the final Master's Thesis.
Standards covered: ISO 26262, ISO/SAE 21434, UN ECE R156, Automotive SPICE 4.0, ISO 24089, SLSA v1.0, SPDX (ISO/IEC 5962), UN ECE R155.
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 GitLab CI, Bazel, Yocto Project, Kubernetes and Terraform, 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 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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