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Master'sRobotics, Automation & Control Applications open

Master’s in OPC UA, MQTT Sparkplug and Pub/Sub

Online master's programme of 1,900 hours in OPC UA, MQTT Sparkplug and Pub/Sub — OT/IT interoperability and security. 12 modules covering fundamentals, standards, modelling and simulation, design, materials, systems integration, reliability, validation, operation and project management, with an assigned technical tutor.

Duration1,900 hours · 12–14 months
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma
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Learning outcomes

What you will be able to do

01

Master the technical fundamentals of OPC UA, MQTT Sparkplug and Pub/Sub (OT/IT interoperability and security) and its regulatory vocabulary.

02

Apply ISO 10218-1 and -2, ISO/TS 15066 (collaborative operation) and ISO 13849 to real design and validation decisions.

03

Build and correlate calculation models with ROS 2 and MoveIt.

04

Plan and run test campaigns in a collaborative robot cell and on a 3D vision bench.

05

Analyse operating data and translate it into engineering decisions.

06

Prepare the technical and compliance dossier required by the client or the regulator.

07

Lead the technical side of a OPC UA, MQTT Sparkplug and Pub/Sub project from start to finish.

Profile

Who it's for

  • Robotics engineers looking to specialise in OPC UA, MQTT Sparkplug and Pub/Sub (OT/IT interoperability and security).
  • PLC programmers who want to take on a broader engineering role.
  • Machine vision specialists working on automated production.
  • Control engineers seeking a systems-level perspective.
  • Robot cell integrators.
  • Automation managers responsible for line performance.
  • Engineering or science graduates aiming to move into manufacturing.
Standards & tools

What you'll work with

  • ISO 10218-1 and -2 (safety requirements for industrial robots and robot systems)
  • ISO/TS 15066 (collaborative robot operation)
  • ISO 13849 (safety-related parts of control systems)
  • IEC 62061 (functional safety of machinery control systems)
  • ISO 3691-4 (driverless industrial trucks, AGV/AMR)
  • IEC 61131-3 (PLC programming languages)
  • ISO 9283 (performance criteria for industrial robots)
  • IEC 62443 (industrial automation cybersecurity)
  • Machinery Regulation (EU) 2023/1230 (EU machinery safety requirements)
  • ROS 2
  • MoveIt
  • Gazebo
  • NVIDIA Isaac Sim
  • MATLAB/Simulink
Syllabus

12 modules

  1. 1.1Fundamental concepts and quantities of OPC UA, MQTT Sparkplug and Pub/Sub
  2. 1.2Technology landscape and state of the art
  3. 1.3Technical terminology and reference documentation
  4. 1.4Physical and engineering principles applied to the case
  5. 1.5Functional architecture: from requirements to components
  6. 1.6Interfaces and dependencies with adjacent systems
  7. 1.7Typical use cases in the sector
  8. 1.8Common errors and how to detect them early
  9. 1.9Data sources and quality criteria
  10. 1.10Guided initial diagnosis exercise
  1. 2.1Applicable regulatory framework: overview
  2. 2.2Regulatory hierarchy and conflicts between standards
  3. 2.3Mandatory requirements versus good practice
  4. 2.4Acceptance criteria and required evidence
  5. 2.5Technical documentation and traceability
  6. 2.6Change management and configuration control
  7. 2.7Audits, inspections and non-conformities
  8. 2.8Responsibilities and division of scope
  9. 2.9Interpretation of critical clauses
  10. 2.10Exercise: regulatory checklist
  1. 3.1Setting up the model: assumptions and simplifications
  2. 3.2Selection of tools and working environment
  3. 3.3Preparation of input data
  4. 3.4Workflow and good modelling practice
  5. 3.5Discretisation and case preparation
  6. 3.6Boundary conditions and load cases
  7. 3.7Convergence control and numerical verification
  8. 3.8Sensitivity analysis and parametric study
  9. 3.9Automation and reuse of models
  10. 3.10Exercise: building a base model
  1. 4.1Reduced-order and detailed models
  2. 4.2Coupling between physical domains
  3. 4.3Parameter calibration with real data
  4. 4.4Uncertainty propagation
  5. 4.5Multi-objective optimisation
  6. 4.6Digital twins and in-service models
  7. 4.7Computational cost and calculation strategies
  8. 4.8Cross-validation of results
  9. 4.9Model documentation and versioning
  10. 4.10Exercise: complete simulation campaign
  1. 5.1Design requirements and starting criteria
  2. 5.2Solution alternatives and comparative analysis
  3. 5.3Sizing and safety margins
  4. 5.4Selection of materials, equipment or components
  5. 5.5Integration with the rest of the system
  6. 5.6Cost, schedule and manufacturing constraints
  7. 5.7Reliability, maintainability and service life
  8. 5.8Sustainability and efficiency in design
  9. 5.9Design review and risk management
  10. 5.10Exercise: documented design proposal
  1. 6.1Material families and selection criteria
  2. 6.2Critical components and their failure modes
  3. 6.3Manufacturing processes and their limits
  4. 6.4Tolerances, fits and dimensional control
  5. 6.5Treatments, coatings and protection
  6. 6.6Emerging technologies applicable to OPC UA, MQTT Sparkplug and Pub/Sub
  7. 6.7Obsolescence and continuity of supply
  8. 6.8Environmental footprint and circular economy
  9. 6.9Qualification of components and suppliers
  10. 6.10Exercise: comparative technical data sheet
  1. 7.1System architecture and functional breakdown
  2. 7.2Interface definition and control
  3. 7.3Protocols and data exchange
  4. 7.4Progressive integration and interface testing
  5. 7.5Electromagnetic and environmental compatibility
  6. 7.6Configuration management of the whole system
  7. 7.7Resolving conflicts between subsystems
  8. 7.8Fine-tuning the integrated system
  9. 7.9Traceability from requirements to verification
  10. 7.10Exercise: interface matrix
  1. 8.1Hazard identification and preliminary analysis
  2. 8.2Failure modes and effects analysis
  3. 8.3Fault trees and quantitative analysis
  4. 8.4Allocation of reliability targets
  5. 8.5Barriers, redundancies and fault tolerance
  6. 8.6Human factors and operating errors
  7. 8.7Safety evidence and argumentation
  8. 8.8Risk management throughout the life cycle
  9. 8.9Indicators and in-service monitoring
  10. 8.10Exercise: risk analysis of a case
  1. 9.1Verification and validation strategy
  2. 9.2Test plan: scope and coverage
  3. 9.3Instrumentation and data acquisition
  4. 9.4Laboratory testing versus field testing
  5. 9.5Correlation between model and measurement
  6. 9.6Handling uncertainty and tolerances
  7. 9.7Failure analysis and corrective actions
  8. 9.8Commissioning and acceptance criteria
  9. 9.9Documentation of the validation file
  10. 9.10Exercise: validation report
  1. 10.1Commissioning and handover to operation
  2. 10.2Preventive and predictive maintenance plans
  3. 10.3Condition monitoring and diagnostics
  4. 10.4Spare parts, logistics and availability
  5. 10.5Obsolescence management and upgrades
  6. 10.6Availability and performance indicators
  7. 10.7Life-cycle cost
  8. 10.8Life extension and repowering
  9. 10.9Decommissioning and end of life
  10. 10.10Exercise: maintenance plan
  1. 11.1Scope, schedule and cost of the technical project
  2. 11.2Estimating and budget control
  3. 11.3Procurement and supplier relations
  4. 11.4Technical teams and communication
  5. 11.5Technical and economic feasibility analysis
  6. 11.6Environmental and social criteria
  7. 11.7Sustainability regulations and reporting
  8. 11.8Change management and stakeholders
  9. 11.9Project close-out and lessons learned
  10. 11.10Exercise: business case
  1. 12.1Choice of topic and scope of the thesis
  2. 12.2State of the art and review of sources
  3. 12.3Problem statement and objectives
  4. 12.4Applied research methodology
  5. 12.5Technical development supervised by the thesis director
  6. 12.6Analysis of results and discussion
  7. 12.7Conclusions and future work
  8. 12.8Writing the dissertation
  9. 12.9Preparing the defence
  10. 12.10Master's Thesis: defence before a panel and assessment
Methodology, software & labs

How you'll learn

Training is 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 the programme can be combined with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is ROS 2, MoveIt, Gazebo, NVIDIA Isaac Sim and MATLAB/Simulink, in free, academic or evaluation versions. Testing is studied through real procedures from a collaborative robot cell, a 3D vision bench and a real-time control laboratory. Assessment is continuous by module, plus the final Master's Thesis.

Standards covered: ISO 10218-1 and -2, ISO/TS 15066, ISO 13849, IEC 62061, ISO 3691-4, IEC 61131-3, ISO 9283, IEC 62443, Machinery Regulation (EU) 2023/1230.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of ISO 10218-1 and -2, ISO/TS 15066 and ISO 13849 applied to real cases, not as a theoretical annex.
Industry software:ROS 2, MoveIt, Gazebo, NVIDIA Isaac Sim and MATLAB/Simulink, in free, academic or evaluation versions.
Master's Thesis with defence:an applied research project on OPC UA, MQTT Sparkplug and Pub/Sub — OT/IT interoperability and security, 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.

Initial diagnosis and compliance
Diagnose a real case and draw up a regulatory checklist with its acceptance criteria.
Simulation campaign
Run a complete simulation campaign with calibrated parameters and uncertainty propagation.
Risk analysis and validation
Analyse the risks of the case and prepare a validation report correlating model and measurement.
Maintenance plan and business case
Define the maintenance plan and build the technical and economic business case.
Master's Thesis
Develop an applied research project on the programme topic, written up as a dissertation, defended before a panel.
Career opportunities

Where this takes you

Robotics engineerPLC programmerMachine vision specialistControl engineerRobot cell integratorAutomation manager
Admissions & scholarships

Requirements

  • A university degree in engineering, science or architecture, or equivalent demonstrable professional experience.
  • 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, MoveIt, Gazebo, NVIDIA Isaac Sim 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 university degree in engineering, science or architecture (or equivalent demonstrable professional experience), a computer able to run the programme 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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