Postgraduate Diploma in Fault-Tolerant Control and FDIR
Online 800-hour Postgraduate Diploma in Fault-Tolerant Control and FDIR. 8 modules covering ISO 26262:2018, UN Regulation No. 79 and MATLAB/Simulink. Assigned tutor and open enrolment.
Postgraduate Diploma in Fault-Tolerant Control and FDIR — studying from the United Kingdom
The UK is developing a strong position in autonomous vehicles and advanced driver assistance systems, supported by testbeds such as the Connected and Autonomous Vehicle sites and the Automated Vehicles Act framework. Automotive manufacturers, Tier 1 suppliers and technology firms work on sensor fusion, perception, functional safety and vehicle software architectures. Centres in the Midlands, the North and Scotland host research collaborations between universities and industry. Demand is growing for engineers who combine embedded software, machine learning and vehicle systems knowledge to build software-defined vehicles.
Fees for the United Kingdom: £1,490 (Pound sterling), with instalments and employer sponsorship available.
Relevant bodies in the United Kingdom
Typical roles
Questions from the United Kingdom
What UK professional bodies relate to autonomous vehicle and ADAS engineering?
Relevant UK bodies include the Institution of Engineering and Technology (IET), the British Computer Society (BCS) for software, and the Institution of Mechanical Engineers (IMechE). Professional registration is managed through the Engineering Council. SEIUM's qualifications are private and not accredited by these bodies, so recognition is for employers or the relevant body to decide. Contact the IET or BCS to check how your study would be considered.
Do UK automotive and technology employers hire people with private qualifications in autonomy and ADAS?
UK employers in autonomous and ADAS development, including vehicle manufacturers, Tier 1 suppliers and software firms, usually focus on technical skill, project experience and the ability to work on safety-critical systems. A private qualification may help show your specialist knowledge, but how it is valued depends on each employer. Evidence of practical work, such as simulation or coding projects, is often more decisive.
How much time will this take alongside a UK job, and what language level do I need?
Programmes are fully online and taught in English, so you need strong technical English reading and writing skills. Because there is no need for a student visa to study from home, you can keep your current UK role while studying. Each programme has a defined number of hours, and you will be assigned a technical tutor. Compare the hours with your schedule and ask about employer funding options before committing.
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
Classify faults and redundancy architectures in automotive.
Design model-based fault detection systems.
Apply data-driven diagnostic techniques.
Isolate and identify faults in complex systems.
Implement fault-tolerant control strategies.
Integrate FDIR into electrical and electronic architectures.
Verify diagnostic coverage in accordance with ISO 26262.
Who it's for
- Functional safety engineer wishing to specialise in Fault-Tolerant Control and FDIR.
- Control engineer wishing to specialise in Fault-Tolerant Control and FDIR.
- Diagnostics engineer wishing to specialise in Fault-Tolerant Control and FDIR.
- By-wire systems engineer wishing to specialise in Fault-Tolerant Control and FDIR.
- HIL validation engineer wishing to specialise in Fault-Tolerant Control and FDIR.
- E/E systems architect wishing to specialise in Fault-Tolerant Control and FDIR.
- Graduates in engineering or science looking to enter the automotive sector.
What you'll work with
- ISO 26262:2018
- Reglamento ONU n.º 79
- Reglamento ONU n.º 13-H
- IEC 61508:2010
- ISO 14229-1:2020 (UDS)
- SAE J1939-73
- IEC 61025:2006
- IEC 60812:2018
8 modules · 800 h
1.1Sensor, actuator and process faults1.2Abrupt, intermittent and incipient faults1.3Physical and analytical redundancy1.4Fail-safe and fail-operational architectures1.5Steer-by-wire and brake-by-wire1.6Availability requirements1.7Real-world fault cases1.8IFAC terminology1.9Power supply and communication faults1.10Case study: failure modes of a steer-by-wire system
2.1Residual generation2.2Diagnostic observers2.3Parity equations2.4Kalman filter innovation test2.5Adaptive thresholds2.6Robustness to uncertainty2.7Detectability and isolability2.8Structural analysis2.9Unknown-input observers2.10Laboratory: diagnostic observer in Simulink
3.1Principal component analysis3.2CUSUM and GLR tests3.3Fault classifiers3.4Autoencoders for anomalies3.5Recurrent networks for time series3.6Hybrid model and data approaches3.7Fleet data for diagnostics3.8Explainability of diagnostics3.9Imbalanced fault data3.10Practice: anomalies in actuator data
4.1Fault signature matrices4.2Observer banks4.3Fault magnitude estimation4.4Multiple faults4.5Probabilistic reasoning4.6Redundant sensors4.7Voting and cross-monitoring4.8Detection and isolation time4.9Remaining useful life prognosis4.10Laboratory: isolation with an observer bank
5.1Passive fault-tolerant control5.2Active fault-tolerant control5.3Control reallocation5.4Controller switching5.5MPC-based reconfiguration5.6Safe functional degradation5.7Torque vectoring as a backup5.8Stability during reconfiguration5.9Differential braking as emergency steering5.10Practice: actuator reallocation under a brake fault
6.1On-board diagnostics and DTCs6.2Event management in AUTOSAR6.3Watchdogs and monitors6.4Dual-channel architectures6.5Redundant power supply6.6Redundant communication6.7Fault escalation6.8Remote diagnostics6.9E-Gas control unit monitoring6.10Case study: FDIR concept for brake-by-wire
7.1Safety mechanisms according to ISO 262627.2SPFM and LFM metrics7.3FMEDA and FTA7.4Fault tolerant time interval7.5Fault injection in HIL7.6Diagnostic coverage7.7Requirements of UN Regulation No. 797.8Evidence for the safety case7.9Latent faults and periodic tests7.10Workshop: FMEDA of a redundant sensor
8.1System and failure modes8.2Fault modelling and analysis8.3Detection scheme8.4Isolation strategy8.5Reconfiguration law8.6Simulation with fault injection8.7Performance evaluation8.8Safety argument8.9Report and presentation8.10Final 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: students progress at their own pace within the intake, which makes it possible to combine study with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is MATLAB/Simulink, dSPACE SCALEXIO, Python (scikit-learn), Vector CANoe, Ansys medini analyze, in free, academic or evaluation versions. The exercises are based on real design procedures for observers for sensor diagnostics, actuator reconfiguration with fault injection, and FMEDA of a by-wire system. Assessment is continuous across modules, plus the final integrative project.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Classify faults and redundancy architectures in automotive.
Design model-based fault detection systems.
Apply data-driven diagnostic techniques.
Isolate and identify faults in complex systems.
Implement fault-tolerant control strategies.
Where this takes you
Requirements
- Prior technical training or professional experience in the sector. No university degree is required.
- Internet connection and a computer capable of running the programme's software.
- Sufficient level of Spanish to follow technical standards documentation.
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 comprises 800 hours in total, spread over 6 to 8 months. That is an average of 10 to 15 hours per week, compatible with a full-time job.
The programme uses MATLAB/Simulink, dSPACE SCALEXIO, Python (scikit-learn), Vector CANoe and Ansys medini analyze. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.
An in-house diploma from SEIUM Institute upon passing continuous assessment and the integrative project. It is in-house training, not an official qualification issued by the Ministry.
Yes. Modules passed in a course or postgraduate diploma in the same area are recognised towards the advanced programme. Check the recognition policy when you enrol.
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