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Master'sAutonomous, ADAS & Software-Defined Vehicle Applications open

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.

Duration1900 h
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma
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Learning outcomes

What you will be able to do

01

Analyse teleoperation modes in automated vehicles.

02

Dimension communications for teleoperation.

03

Design remote driving and remote assistance systems.

04

Design control centres and their operation.

05

Assess the human factors of the remote operator.

06

Analyse the safety and cybersecurity of teleoperation.

07

Develop a teleoperation and control centre project.

Profile

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.
Standards & tools

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
Syllabus

12 modules · 1900 h

  1. 1.1The role of teleoperation in autonomy
  2. 1.2Remote driving versus remote assistance
  3. 1.3Remote fleet supervision
  4. 1.4Use cases in robotaxis and logistics
  5. 1.5Teleoperation in mining and ports
  6. 1.6Human limitations in remote control
  7. 1.7Emerging regulation of teleoperation
  8. 1.8Business models of remote centres
  9. 1.9Operator experiences
  10. 1.10Case study: operating model of a robotaxi
  1. 2.1Latency and bandwidth requirements
  2. 2.24G and 5G networks for teleoperation
  3. 2.3Network slicing and quality of service
  4. 2.4Multi-connectivity and aggregation
  5. 2.5Low-latency video encoding
  6. 2.6Adaptive video streaming
  7. 2.7End-to-end latency measurement
  8. 2.8Loss of connectivity and response
  9. 2.9Coverage and network planning
  10. 2.10Lab: video latency measurement
  1. 3.1Architecture of a remote driving system
  2. 3.2Remote driving station
  3. 3.3Haptic and force feedback
  4. 3.4Delay compensation
  5. 3.5Predictive delay control
  6. 3.6Visual interfaces for the operator
  7. 3.7Remote situational awareness
  8. 3.8Safe speed limits
  9. 3.9Safety of the remote driving system
  10. 3.10Practical: remote driving with simulated delay
  1. 4.1Waypoint-based assistance
  2. 4.2Trajectory selection by the operator
  3. 4.3Manoeuvre confirmation
  4. 4.4Remote obstacle annotation
  5. 4.5Handling stuck situations
  6. 4.6Interaction with external agents
  7. 4.7Assistance in roadworks zones
  8. 4.8Operator response times
  9. 4.9Scalability of assistance
  10. 4.10Workshop: waypoint guidance interface
  1. 5.1Control centre architecture
  2. 5.2Vehicle-to-operator ratio
  3. 5.3Layout of workstations and screens
  4. 5.4Incident queue management
  5. 5.5Dispatch systems
  6. 5.6Redundancy and continuity
  7. 5.7Physical and IT security
  8. 5.8Workstation ergonomics
  9. 5.9Operating costs
  10. 5.10Lab: incident queue simulation
  1. 6.1Situational awareness and its loss
  2. 6.2Mental workload
  3. 6.3Fatigue and vigilance
  4. 6.4Transfer of control
  5. 6.5Simulator sickness
  6. 6.6Operator selection
  7. 6.7Training and certification
  8. 6.8Standard operating procedures
  9. 6.9Performance assessment
  10. 6.10Practical: workload measurement with NASA-TLX
  1. 7.1Hazard analysis of teleoperation
  2. 7.2Safe states on link loss
  3. 7.3Minimal risk manoeuvres
  4. 7.4Safety of the communications chain
  5. 7.5Video integrity requirements
  6. 7.6Latency monitoring
  7. 7.7Allocation of responsibilities between operator and system
  8. 7.8Safety argumentation
  9. 7.9Communication failure testing
  10. 7.10Case study: HARA for remote driving
  1. 8.1Threats to remote systems
  2. 8.2Operator authentication
  3. 8.3Encryption of control channels
  4. 8.4Protection against remote hijacking
  5. 8.5Control centre security
  6. 8.6Network segmentation
  7. 8.7Logging and auditing
  8. 8.8Incident response
  9. 8.9Applicable R155 requirements
  10. 8.10Workshop: teleoperation threat model
  1. 9.1Real-time fleet supervision
  2. 9.2Incident management and escalation
  3. 9.3Passenger assistance
  4. 9.4Interaction with emergency services
  5. 9.5Vehicle recovery
  6. 9.6Maintenance and cleaning
  7. 9.7Fleet operational indicators
  8. 9.8Resource optimisation
  9. 9.9Continuous improvement of operations
  10. 9.10Lab: fleet supervision dashboard
  1. 10.1The German autonomous driving act
  2. 10.2Remote technical supervision
  3. 10.3Regulation in California and China
  4. 10.4Teleoperation standards under development
  5. 10.5Liability of the remote operator
  6. 10.6Employment requirements for operators
  7. 10.7Records and traceability
  8. 10.8Insurance for remote operation
  9. 10.9Regulatory trends by market
  10. 10.10Practical: comparative regulatory analysis
  1. 11.1Teleoperation in mining
  2. 11.2Remote port cranes
  3. 11.3Remote construction machinery
  4. 11.4Warehouse logistics
  5. 11.5Teleoperated agricultural vehicles
  6. 11.6Drones and aerial vehicles
  7. 11.7Transferring lessons between sectors
  8. 11.8Standards for remote machinery
  9. 11.9Success stories
  10. 11.10Case study: remote control of port cranes
  1. 12.1Definition of the use case
  2. 12.2Communication requirements
  3. 12.3Design of the remote workstation
  4. 12.4Design of the control centre
  5. 12.5Human factors analysis
  6. 12.6Safety analysis
  7. 12.7Test plan
  8. 12.8Conclusions and future work
  9. 12.9Thesis report
  10. 12.10Master's Thesis: defence before a panel
Methodology, software & labs

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).

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of ISO 26262, ISO 21448 and ISO/SAE 21434 applied to real cases, not as a theoretical annex.
Industry software:ROS 2, CARLA, GStreamer, MATLAB/Simulink and Unity, in free, academic or evaluation versions.
Master's Thesis with defence:a complete teleoperation and control centre project, from communication requirements and remote workstation design to human factors, safety analysis and a test plan, defended before a panel.
Flexible format:100% online, no fixed timetables, compatible with full-time work.
Capstone project

Build it end to end

Your final project follows the real engineering workflow, step by step, reviewed by your tutor.

Latency budget
Measure end-to-end video latency and define the communication requirements.
Remote driving with delay
Test remote driving in CARLA with simulated delay and compensation.
Control centre operations
Simulate incident queues and size the vehicle-to-operator ratio.
Safety and human factors
Carry out a HARA for remote driving and measure operator workload with NASA-TLX.
Master's Thesis
A complete teleoperation and control centre project, from communication requirements and remote workstation design to human factors, safety analysis and a test plan, defended before a panel.
Career opportunities

Where this takes you

Teleoperation engineerMobile communications engineerControl centre designerHuman factors specialistAutonomous fleet operations managerFunctional safety engineer
Admissions & scholarships

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.

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FAQ

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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