Master’s in Teleoperation and Control Centre Engineering
Online master's programme of 1,900 hours in teleoperation and control centre engineering, structured in 12 modules covering communications for teleoperation, remote driving and assistance, control centre design, operator human factors, functional safety, cybersecurity, fleet operations and regulation (ISO 26262, ISO 21448, ISO/SAE 21434), 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
Analyse teleoperation modes in automated vehicles.
Dimension communications for teleoperation.
Design remote driving and remote assistance systems.
Design control centres and their operation.
Assess the human factors of the remote operator.
Analyse the safety and cybersecurity of teleoperation.
Develop a teleoperation and control centre project.
Who it's for
- Teleoperation engineers developing remote driving and assistance systems.
- Mobile communications engineers working on low-latency links.
- Control centre designers planning remote operations facilities.
- Human factors specialists focused on remote operators.
- Autonomous fleet operations managers.
- Functional safety engineers analysing remote operation.
- Engineering or science graduates seeking to enter the automotive sector.
What you'll work with
- ISO 26262 (functional safety of road vehicles)
- ISO 21448 (SOTIF – safety of the intended functionality)
- ISO/SAE 21434 (road vehicle cybersecurity engineering)
- UN ECE R155 (cybersecurity management systems)
- SAE J3016 (levels of driving automation)
- ISO 11064-1 (ergonomic design of control centres)
- 3GPP TS 22.186 (service requirements for enhanced V2X scenarios)
- Implementing Regulation (EU) 2022/1426 (ADS) (type approval of automated driving systems)
- ROS 2
- CARLA
- GStreamer
- MATLAB/Simulink
- Unity
12 modules · 1900 h
1.1The role of teleoperation in autonomy1.2Remote driving versus remote assistance1.3Remote fleet supervision1.4Use cases in robotaxis and logistics1.5Teleoperation in mining and ports1.6Human limitations in remote control1.7Emerging regulation of teleoperation1.8Business models of remote centres1.9Operator experiences1.10Case study: operating model of a robotaxi
2.1Latency and bandwidth requirements2.24G and 5G networks for teleoperation2.3Network slicing and quality of service2.4Multi-connectivity and aggregation2.5Low-latency video encoding2.6Adaptive video streaming2.7End-to-end latency measurement2.8Loss of connectivity and response2.9Coverage and network planning2.10Lab: video latency measurement
3.1Architecture of a remote driving system3.2Remote driving station3.3Haptic and force feedback3.4Delay compensation3.5Predictive delay control3.6Visual interfaces for the operator3.7Remote situational awareness3.8Safe speed limits3.9Safety of the remote driving system3.10Practical: remote driving with simulated delay
4.1Waypoint-based assistance4.2Trajectory selection by the operator4.3Manoeuvre confirmation4.4Remote obstacle annotation4.5Handling stuck situations4.6Interaction with external agents4.7Assistance in roadworks zones4.8Operator response times4.9Scalability of assistance4.10Workshop: waypoint guidance interface
5.1Control centre architecture5.2Vehicle-to-operator ratio5.3Layout of workstations and screens5.4Incident queue management5.5Dispatch systems5.6Redundancy and continuity5.7Physical and IT security5.8Workstation ergonomics5.9Operating costs5.10Lab: incident queue simulation
6.1Situational awareness and its loss6.2Mental workload6.3Fatigue and vigilance6.4Transfer of control6.5Simulator sickness6.6Operator selection6.7Training and certification6.8Standard operating procedures6.9Performance assessment6.10Practical: workload measurement with NASA-TLX
7.1Hazard analysis of teleoperation7.2Safe states on link loss7.3Minimal risk manoeuvres7.4Safety of the communications chain7.5Video integrity requirements7.6Latency monitoring7.7Allocation of responsibilities between operator and system7.8Safety argumentation7.9Communication failure testing7.10Case study: HARA for remote driving
8.1Threats to remote systems8.2Operator authentication8.3Encryption of control channels8.4Protection against remote hijacking8.5Control centre security8.6Network segmentation8.7Logging and auditing8.8Incident response8.9Applicable R155 requirements8.10Workshop: teleoperation threat model
9.1Real-time fleet supervision9.2Incident management and escalation9.3Passenger assistance9.4Interaction with emergency services9.5Vehicle recovery9.6Maintenance and cleaning9.7Fleet operational indicators9.8Resource optimisation9.9Continuous improvement of operations9.10Lab: fleet supervision dashboard
10.1The German autonomous driving act10.2Remote technical supervision10.3Regulation in California and China10.4Teleoperation standards under development10.5Liability of the remote operator10.6Employment requirements for operators10.7Records and traceability10.8Insurance for remote operation10.9Regulatory trends by market10.10Practical: comparative regulatory analysis
11.1Teleoperation in mining11.2Remote port cranes11.3Remote construction machinery11.4Warehouse logistics11.5Teleoperated agricultural vehicles11.6Drones and aerial vehicles11.7Transferring lessons between sectors11.8Standards for remote machinery11.9Success stories11.10Case study: remote control of port cranes
12.1Definition of the use case12.2Communication requirements12.3Design of the remote workstation12.4Design of the control centre12.5Human factors analysis12.6Safety analysis12.7Test plan12.8Conclusions and future work12.9Thesis 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 ROS 2, CARLA, GStreamer, MATLAB/Simulink and Unity, in free, academic or evaluation versions. Testing is studied through real procedures: end-to-end latency measurement, remote driving tests with delay and control centre simulation. Assessment is continuous for each module, plus the final Master's Thesis.
Standards covered: ISO 26262, ISO 21448, ISO/SAE 21434, UN ECE R155, SAE J3016, ISO 11064-1, 3GPP TS 22.186, Implementing Regulation (EU) 2022/1426 (ADS).
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 ROS 2, CARLA, GStreamer, MATLAB/Simulink and Unity, 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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