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Master’s in Industrial Robotics & Cobots Engineering

Industrial Robotics & Cobots Engineering focuses on the development and optimisation of advanced mechatronic systems for automated industrial environments, integrating PLC fundamentals, ROS 2, machine vision, and adaptive control based on PID and MPC. The approach covers CAD/CAE design, multibody dynamics, differential kinematics and trajectory-planning algorithms, applied to collaborative robots (cobots) that work safely alongside operators on automated assembly lines and in autonomous transport systems. Simulation and digital modelling methodologies, together with interoperability frameworks, ensure the precision and efficiency required for repetitive and technically complex tasks.

The associated laboratories support HIL/SIL testing, real-time data acquisition and vibration analysis, and integrate functional safety protocols in line with applicable international standards that ensure reliability in heterogeneous industrial scenarios. Assessments include safety validation based on ISO 10218, IEC 61508 and ISO/TS 15066, covering operational risks and ergonomic aspects. Graduates are prepared for roles such as Automation Engineer, Robot Integration Specialist, Industrial Safety Technician and Embedded Software Developer, with career paths in aerospace, automotive and advanced manufacturing.

Target keywords (used naturally in the text): industrial robotics, cobots, PLC, ROS 2, ISO 10218, IEC 61508, HIL simulation, functional safety, automation, adaptive control.

Duration12–14 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

Mastering Industrial Robotics & Cobots: Design, Programming and Optimisation

02

Advanced Robot Modelling: Kinematics, Dynamics and Performance

03

User-centred integrated design and validation (from modelling to deployment)

04

Design and Optimisation of Industrial Robotics & Cobots: Modelling and Performance

05

Industrial Robotics & Cobots: Modelling, Simulation and System Optimisation

06

Industrial Robotics & Cobots Engineering: Advanced Modelling and Performance Optimisation

07

Industrial Robotics & Cobots: Modelling, Design and System Optimisation

08

Industrial Robotics & Cobots Engineering: Modelling, Programming and Performance Optimisation

Profile

Who it's for

  • Engineers with degrees in Robotics, Mechatronics, Electrical, Mechanical engineering or related fields.
  • Professionals in the manufacturing industry, automation and robotics companies looking to upgrade their skills.
  • Technicians and engineers working with cobots, robotic systems and automated production lines.
  • People interested in designing, programming, integrating and maintaining industrial robotics and cobot systems.
Recommended requirements: Basic knowledge of programming, electronics and mechanics; EN/ES B1/B2. We provide support resources.
Standards & tools

What you'll work with

  • Standards-driven curriculum: you will work with ISO 10218-1/-2, ISO/TS 15066, ISO 13849-1, IEC 62061, IEC 61508 and ISO 12100 from the first module.
  • Accreditable laboratories (EN ISO/IEC 17025) with robot and cobot cells, force/pressure measurement for collaborative limits, HIL/SIL, vibration analysis.
  • Evidence-driven final project: safety case, test plan, compliance dossier and operating limits.
  • Industry mentoring: faculty with experience in automotive, aerospace, intralogistics and robot integration.
  • Flexible format (hybrid/online), international cohorts and support from SEIUM Career Services.
  • Ethics and safety: safety-by-design, OT cybersecurity, responsible human–robot collaboration and compliance as pillars.
Syllabus

10 modules

  1. 1.1Fundamentals of industrial robotics and cobots: ISO 8373 definitions, history and applications
  2. 1.2Cobots: collaborative operating modes, human–robot interaction
  3. 1.3Robotic system architectures: manipulators, controllers, interfaces and networks
  4. 1.4Sensor and actuator technologies: types, selection and basic control
  5. 1.5Programming industrial robots and cobots: teach pendant, offline and common languages
  6. 1.6Safety and regulatory compliance: ISO 10218-1/-2, ISO/TS 15066
  7. 1.7Modelling and simulation of robotic systems: tools and workflow
  8. 1.8Integration with manufacturing systems: PLC, SCADA, OPC UA, I/O
  9. 1.9Maintenance, reliability and technical support: diagnostics and preventive maintenance
  10. 1.10Case clinic: go/no-go with risk matrix
  1. 2.1Robot design fundamentals: kinematics, dynamics and interfaces
  2. 2.2Robot and cobot architectures: modularity, integrability and scalability
  3. 2.3Actuator and sensor selection: performance and compatibility criteria
  4. 2.4Control and design algorithms: models and control strategies
  5. 2.5Safety and ergonomics in design: standards, operator protection
  6. 2.6Cobot integration: human–robot interaction and collaboration limits
  7. 2.7Preliminary modelling and behavioural simulation
  8. 2.8Design standards: ISO 9283 performance criteria, ISO 9409 flanges, ISO 12100 risk assessment
  9. 2.9Design evaluation methods: MTBF, MTTR, availability, total cost of ownership
  10. 2.10Case studies: go/no-go with risk matrix
  1. 3.1Introduction to robot programming: online and offline paradigms, history and scope
  2. 3.2Cobots vs industrial robots: advantages, limitations and use scenarios
  3. 3.3Basic architectures and components: manipulators, end effectors, sensors, controllers
  4. 3.4Safety and regulatory compliance: ISO 10218, ISO/TS 15066, risk assessment
  5. 3.5Robot configurations: Cartesian, SCARA, articulated, delta, dual-arm
  6. 3.6End effectors and grippers: handling tools, quick-change, adaptation
  7. 3.7ROS 2 fundamentals: nodes, topics, services, actions and MoveIt 2
  8. 3.8Integration with automation systems: PLC, HMI, industrial networks and interoperability
  9. 3.9Simulation and digital twins: Gazebo, RoboDK, RobotStudio, validation of programmes
  10. 3.10Use cases and trends in industrial robotics & cobots: manufacturing, logistics and services
  1. 4.1Introduction to robot control: joint-space and task-space control architectures
  2. 4.2Cascaded servo loops: current, velocity and position control with PID tuning
  3. 4.3Computed-torque and feedforward control based on dynamic models
  4. 4.4Impedance and admittance control for contact and hand guiding
  5. 4.5Force/torque control: compliance, polishing and assembly tasks
  6. 4.6Model predictive control (MPC) for constrained motion
  7. 4.7Adaptive and robust control: payload variation and disturbances
  8. 4.8Modelling and design in MATLAB/Simulink and Simscape Multibody
  9. 4.9Real-time implementation: EtherCAT, ROS 2 control and latency analysis
  10. 4.10Case studies and assessment: controller benchmarking and acceptance criteria
  1. **Module 5 — Functional Safety and Risk Assessment in Collaborative Robotics**
  2. 5.1Machinery safety framework: ISO 12100 and the EU Machinery Regulation 2023/1230
  3. 5.2ISO 10218-1 and -2: requirements for robots and robot systems
  4. 5.3ISO/TS 15066: power and force limiting, speed and separation monitoring
  5. 5.4Biomechanical limits: contact pressure and force thresholds by body region
  6. 5.5Safety functions and performance levels: ISO 13849-1 and IEC 62061
  7. 5.6IEC 61508 and safety integrity levels (SIL) for programmable systems
  8. 5.7Safeguarding devices: safety PLCs, laser scanners, light curtains, ISO 13855
  9. 5.8Risk assessment and validation of a collaborative application
  10. 5.9Cybersecurity of robotic cells: IEC 62443 and secure remote access
  11. 5.10Case study: safety case and compliance dossier for a cobot cell
  1. **Module 6 — Machine Vision, AI and Human–Robot Interaction**
  2. 6.1Fundamentals of machine vision: optics, lighting and image formation
  3. 6.22D and 3D vision sensors: stereo, structured light and time-of-flight
  4. 6.3Camera calibration and hand–eye calibration
  5. 6.4Image processing with OpenCV and industrial vision libraries
  6. 6.5Deep learning for detection and pose estimation: PyTorch and ONNX
  7. 6.6Vision-guided picking and bin-picking
  8. 6.7Learning-based robot skills: imitation and reinforcement learning
  9. 6.8Human–robot interaction: hand guiding, gesture, voice and intent recognition
  10. 6.9Ergonomics and human factors in collaborative workstations
  11. 6.10Future trends: foundation models, edge AI and intelligent automation
  1. **Module 7 — Robotic Cell Integration and Industrial Networks**
  2. 7.1Architecture of an automated robotic cell: layout, interlocks and utilities
  3. 7.2PLC programming with IEC 61131-3: ladder, structured text and function blocks
  4. 7.3Fieldbuses and industrial Ethernet: PROFINET, EtherCAT, EtherNet/IP
  5. 7.4OPC UA (IEC 62541) and MQTT for MES and cloud interoperability
  6. 7.5Robot–PLC interfaces: handshaking, I/O mapping and fieldbus profiles
  7. 7.6Peripherals: conveyors, feeders, tool changers and CNC machine tending
  8. 7.7Time-Sensitive Networking and deterministic communication
  9. 7.8Commissioning: FAT/SAT, virtual commissioning and acceptance protocols
  10. 7.9Electrical safety and documentation: IEC 60204-1 and EMC
  11. 7.10Case studies: integrating a multi-robot cell into a production line
  1. **Module 8 — Mobile Manipulation and Autonomous Systems Fundamentals**
  2. 8.1Introduction to mobile manipulators and AMRs: history, uses and trends
  3. 8.2Locomotion platforms: differential, mecanum and omnidirectional
  4. 8.3Sensing: LiDAR, IMU, depth cameras and wheel odometry
  5. 8.4Coordinate frames and homogeneous transformations (TF2)
  6. 8.5Localisation and mapping: SLAM, AMCL and Nav2
  7. 8.6Mobile manipulation: base–arm coordination and whole-body motion
  8. 8.7Fleet management and traffic control in intralogistics
  9. 8.8Driverless vehicle safety: ISO 3691-4 and ISO 13849-1
  10. 8.9Docking, charging and automatic tool-change workflows
  11. 8.10Case study: AMR with cobot for machine tending
  12. **Module 8 — Advanced Dynamics and Vibration of Robotic Structures**
  13. 8.1Multibody dynamics: Newton–Euler and Lagrange formulations
  14. 8.2Flexible-link and joint-compliance modelling
  15. 8.3Strain-wave gearing, backlash and friction models
  16. 8.4Payload identification and inertial parameter estimation
  17. 8.5Experimental modal analysis of arms and bases
  18. 8.6Vibration suppression: input shaping and notch filters
  19. 8.7Thermal drift and accuracy compensation per ISO 9283
  20. 8.8Cable fatigue and wear in dress packs
  21. 8.9Co-simulation with Simscape Multibody and ADAMS
  22. 8.10Case study: improving the repeatability of a six-axis arm
  23. **Module 3 — Integration and Simulation of Robots**
  24. 3.1Introduction to integrating industrial robots and cobots
  25. 3.2Robot simulation software: ROS 2, Gazebo, RoboDK
  26. 3.33D modelling of robots, work cells and environments
  27. 3.4Robot programming: languages, strategies and tools
  28. 3.5Trajectory and motion simulation
  29. 3.6Robot–environment interaction: sensors, actuators and communication
  30. 3.7Integration with peripherals: conveyors, machines and tools
  31. 3.8Collision analysis and fault detection
  32. 3.9Simulation of industrial processes: welding, painting, assembly
  33. 3.10Validation and optimisation of simulated robotic cells
  34. **Module 4 — Robotic Design and Optimisation**
  35. 4.1Robotic system design: specifications, requirements and constraints
  36. 4.2Robot selection: criteria, tools and methodologies
  37. 4.3Cell layout design: ergonomics, safety and efficiency
  38. 4.4End-effector and tool design: functionality and versatility
  39. 4.5Trajectory optimisation: time, energy and accuracy
  40. 4.6Parameter optimisation: velocity, acceleration and jerk
  41. 4.7Design for manufacture (DFM): ease of assembly and maintenance
  42. 4.8Performance optimisation: programming and control
  43. 4.9Design verification and validation
  44. 4.10Case studies: design and optimisation of robotic systems
  45. **Module 5 — Modelling and Optimisation of Systems**
  46. 5.1Introduction to modelling robotic systems
  47. 5.2Mathematical modelling of robots: kinematics and dynamics
  48. 5.3Modelling of sensors and actuators
  49. 5.4Modelling of work environments and obstacles
  50. 5.5Simulation of complex robotic systems
  51. 5.6Trajectory and motion optimisation
  52. 5.7System performance optimisation
  53. 5.8Sensitivity and robustness analysis
  54. 5.9Optimal controller design
  55. 5.10Case studies: modelling and optimising systems
  56. **Module 6 — Engineering and Performance Optimisation**
  57. 6.1Robotic engineering principles: methodologies and tools
  58. 6.2Requirements analysis and robotic system design
  59. 6.3Selection of robots and components
  60. 6.4Modelling and simulation of robotic systems
  61. 6.5Robot programming and control
  62. 6.6Performance optimisation: time, energy, accuracy
  63. 6.7Implementation and commissioning of robotic systems
  64. 6.8Failure analysis and maintenance
  65. 6.9Automation and optimisation of industrial processes
  66. 6.10Case studies: engineering and performance optimisation
  67. **Module 7 — Modelling, Design and Optimisation of Systems**
  68. 7.1Requirements and specification of the robotic system
  69. 7.2Modelling robots and components: kinematics and dynamics
  70. 7.3Robotic cell design: layout, safety and ergonomics
  71. 7.4Simulation of robotic systems: trajectories, motion and processes
  72. 7.5Robot programming and control: languages and strategies
  73. 7.6Performance optimisation: time, accuracy, energy
  74. 7.7Design for manufacture: ease of assembly and maintenance
  75. 7.8Integration of robots with peripherals and vision systems
  76. 7.9Design verification and validation
  77. 7.10Case studies: modelling, design and optimisation of systems
  78. **Module 8 — Programming and Performance Optimisation**
  79. 8.1Introduction to programming industrial robots and cobots
  80. 8.2Robot programming languages: syntax and functions
  81. 8.3Motion programming: points, trajectories and speeds
  82. 8.4Sensor and actuator programming
  83. 8.5Control logic programming: conditionals, loops, subroutines
  84. 8.6Programme optimisation: cycle time, efficiency and accuracy
  85. 8.7Offline and online programming: tools and methods
  86. 8.8Simulation and debugging of robot programmes
  87. 8.9Integration of robots with vision systems and other peripherals
  88. 8.10Case studies: programming and performance optimisation
  1. **Module 9 — Robotics Fundamentals and Legislation**
  2. 9.1Introduction to industrial robotics and cobots
  3. 9.2Principles of robot kinematics and dynamics
  4. 9.3Structures and components of industrial robots
  5. 9.4Sensors and actuators in robotics
  6. 9.5Fundamentals of robot programming
  7. 9.6Safety standards in robotics: ISO 10218, ISO/TS 15066
  8. 9.7Legislation and legal aspects of industrial robotics: CE marking and product liability
  9. 9.8Introduction to ergonomics and occupational safety in robotic environments
  10. 9.9Case study: robotic implementation and legal considerations
  11. 9.10Future trends in robotics and legislation: AI Act and machinery rules
  12. **Module 9 — Advanced Robot Mechatronics**
  13. 9.1Fundamentals of servo drives and motion control
  14. 9.2Electric motor selection: PMSM, BLDC and torque–speed curves
  15. 9.3Gear and transmission analysis: harmonic, cycloidal and planetary
  16. 9.4Encoders and feedback: absolute, incremental and torque sensing
  17. 9.5Robot performance analysis: payload, reach and repeatability
  18. 9.6Thermal and power-electronics considerations in joint modules
  19. 9.7Vibration and noise modelling in robot joints
  20. 9.8Optimisation of arm design: tools and methodologies
  21. 9.9Simulation and case analysis: design and analysis of a specific manipulator
  22. 9.10Emerging technologies in robot design: soft robotics and variable-stiffness actuators
  23. **Module 3 — Integration and Simulation of Robots**
  24. 3.1Robotic system architectures and communication
  25. 3.2Hardware and software selection and configuration
  26. 3.3Design of robotic cells and work environments
  27. 3.4Robot programming: languages and tools
  28. 3.5Robot simulation: software and methodologies
  29. 3.6Modelling environments and objects for simulation
  30. 3.7Integration of sensors and external devices
  31. 3.8Trajectory analysis and motion control
  32. 3.9Simulation and optimisation of robotic tasks
  33. 3.10Validation and commissioning of robotic systems
  34. **Module 4 — Robotic Design and Optimisation**
  35. 4.1Design principles for industrial robotics
  36. 4.2Selection of robots and end-effectors
  37. 4.3Design of machine vision systems for robotics
  38. 4.4Design of gripping and handling devices
  39. 4.5Trajectory optimisation and motion planning
  40. 4.6Design of efficient and safe robotic cells
  41. 4.7Cycle time and productivity analysis
  42. 4.8Cost optimisation and return on investment (ROI)
  43. 4.9Design for additive manufacturing in robotics
  44. 4.10Case studies: design and optimisation of specific robotic systems
  45. **Module 5 — Modelling and Optimisation of Systems**
  46. 5.1Modelling robotic systems: methodologies and tools
  47. 5.2Modelling components and subsystems
  48. 5.3Simulation of robotic systems: performance analysis
  49. 5.4Sensitivity and robustness analysis
  50. 5.5Parameter and system design optimisation
  51. 5.6Failure modelling and reliability analysis
  52. 5.7Discrete-event simulation of robotic processes
  53. 5.8Workflow optimisation and sequencing
  54. 5.9Case studies: modelling and optimising industrial systems
  55. 5.10Trends in modelling and optimising robotic systems
  56. **Module 6 — Engineering and Performance Optimisation**
  57. 6.1Robotic engineering principles and methodologies
  58. 6.2Performance analysis of robotic systems
  59. 6.3Cycle time optimisation and energy efficiency
  60. 6.4Advanced control of industrial robots
  61. 6.5Advanced programming and diagnostic tools
  62. 6.6Design of supervisory and control systems
  63. 6.7Data analysis and big data in robotics
  64. 6.8Predictive maintenance and reliability optimisation
  65. 6.9Integration of robotics and Industry 4.0 automation
  66. 6.10Best practices and case studies: performance optimisation
  67. **Module 7 — Design and Optimisation of Systems**
  68. 7.1Design of integrated and flexible robotic cells
  69. 7.2Selection of robots and peripherals for specific applications
  70. 7.3Design of intelligent machine vision systems
  71. 7.4Design of custom end-effectors
  72. 7.5Layout optimisation of robotic cells
  73. 7.6Design of human–machine interfaces (HMI)
  74. 7.7System simulation and design validation
  75. 7.8Optimisation of robotic manufacturing processes
  76. 7.9Case studies: design and optimisation of complete systems
  77. 7.10Innovations in robotic system design
  78. **Module 8 — Programming and Performance Optimisation**
  79. 8.1Introduction to advanced robot programming
  80. 8.2Robot programming: languages and paradigms
  81. 8.3Robot programme optimisation
  82. 8.4Motion control and complex trajectories
  83. 8.5Integration of sensors and machine vision in programming
  84. 8.6Programming collaborative robots (cobots)
  85. 8.7Programme debugging and diagnostics
  86. 8.8Simulation and validation of robot programmes
  87. 8.9Cycle time analysis and productivity optimisation
  88. 8.10Case studies: programming and performance optimisation
  1. **Module 1 — Foundations and Legislation in Industrial Robotics**
  2. 1.1Introduction to industrial robotics and cobots: history and evolution
  3. 1.2Key components of industrial robots and cobots
  4. 1.3Robot control architectures: hardware and software
  5. 1.4Fundamentals of robot kinematics and dynamics
  6. 1.5Sensors and actuators in industrial robotics
  7. 1.6Robot safety: international standards and regulations
  8. 1.7Legislation applicable to industrial robotics
  9. 1.8Principles of safe design for robots and cobots
  10. 1.9Risk assessment and management in robotic environments
  11. 1.10Future trends in industrial robotics
  12. **Module 2 — Advanced Robot Mechatronics and Dynamics**
  13. 2.1Fundamentals of manipulator dynamics: inertia, Coriolis and gravity terms
  14. 2.2Modelling robot links: geometry, mass properties and CAD export
  15. 2.3Structural analysis of arms: FE and stiffness mapping
  16. 2.4Modelling joint forces and torques
  17. 2.5Design and selection of motors and drives for joints
  18. 2.6Design of joint control systems
  19. 2.7Advanced materials for robot structures: aluminium, CFRP and magnesium
  20. 2.8Design optimisation of arms: methods and tools
  21. 2.9Vibration analysis in robot structures
  22. 2.10Practical cases of manipulator modelling
  23. **Module 3 — Robotic Integration and Simulation**
  24. 3.1Introduction to integrating industrial robots and cobots
  25. 3.2Selection and configuration of robots for specific applications
  26. 3.3Machine vision systems for robotics
  27. 3.4Programming industrial robots: languages and tools
  28. 3.5Robotic simulation: software and virtual environments
  29. 3.6Robotic cell design: layout and safety considerations
  30. 3.7Synchronisation and control of multiple robots
  31. 3.8Integration of robots with peripherals: grippers, sensors, etc.
  32. 3.9Validation and verification of robotic systems
  33. 3.10Case studies: successful integration across industries
  34. **Module 4 — Robotic Design and Optimisation**
  35. 4.1Design principles for industrial robots and cobots
  36. 4.2Design for manufacture: considerations and best practice
  37. 4.3Optimisation of the robot workspace
  38. 4.4Optimisation of trajectories and cycle times
  39. 4.5Design of grippers and end-of-arm tooling (EOAT)
  40. 4.6Selection and design of sensors for specific applications
  41. 4.7Design of robotic safety systems
  42. 4.8Optimisation of energy efficiency in robotics
  43. 4.9Optimisation methods in robotics: algorithms and techniques
  44. 4.10Practical cases of robotic design and optimisation
  45. **Module 5 — Modelling and Optimisation of Systems**
  46. 5.1Modelling robotic systems: representations and mathematical models
  47. 5.2Design of control systems for robots
  48. 5.3Robot trajectory optimisation
  49. 5.4Robotic task planning
  50. 5.5Performance optimisation of the robotic system
  51. 5.6Sensitivity and robustness analysis of systems
  52. 5.7Integration of robotic systems with other production systems
  53. 5.8Design of supervisory and control systems
  54. 5.9Simulation and optimisation tools
  55. 5.10Case study: optimising robotic systems in industry
  56. **Module 6 — Engineering and Performance Optimisation**
  57. 6.1Robotic engineering principles: design, implementation and maintenance
  58. 6.2Selection of industrial robots and cobots for specific applications
  59. 6.3Advanced robot programming: techniques and tools
  60. 6.4Performance optimisation: cycle times and energy efficiency
  61. 6.5Design and selection of sensors and actuators
  62. 6.6Machine vision systems for process optimisation
  63. 6.7Failure analysis and predictive maintenance in robotics
  64. 6.8Optimisation of robot trajectories and movements
  65. 6.9Continuous improvement and optimisation of robotic processes
  66. 6.10Case studies: engineering and performance optimisation applications
  67. **Module 7 — Design and Optimisation of Systems**
  68. 7.1Robotic cell design: layout and safety considerations
  69. 7.2Integration of robots with peripheral equipment
  70. 7.3Robot programming for different applications
  71. 7.4Optimisation of trajectories and movements
  72. 7.5Selection of tools and grippers
  73. 7.6Cycle time and efficiency analysis
  74. 7.7Simulation and validation of robotic systems
  75. 7.8Design of safety systems
  76. 7.9Implementation and maintenance of robotic systems
  77. 7.10Practical cases and case studies
  78. **Module 8 — Robotic Programming and Optimisation**
  79. 8.1Fundamentals of robot programming
  80. 8.2Industrial robot programming languages
  81. 8.3Advanced programming: logic, loops and subroutines
  82. 8.4Motion and trajectory programming
  83. 8.5Integration of sensors and peripherals in programming
  84. 8.6Code optimisation: cycle times and performance
  85. 8.7Simulation and testing of robot programmes
  86. 8.8Debugging and diagnostic tools
  87. 8.9Programming for human–robot collaboration
  88. 8.10Practical cases and programming and optimisation exercises
Methodology, software & labs

How you'll learn

  • Hands-on methodology: test-before-you-trust, design reviews, failure analysis, compliance evidence.
  • Software (subject to licences/partners): MATLAB/Simulink, Python (NumPy/SciPy), ROS 2/MoveIt 2, Gazebo/NVIDIA Isaac Sim, RoboDK, ABB RobotStudio, Simscape Multibody, OpenCV/PyTorch, CODESYS/TIA Portal, SolidWorks/ANSYS Mechanical.
  • SEIUM laboratories: industrial robot and cobot cells, force/pressure measurement for ISO/TS 15066, vibration analysis, HIL/SIL for robot controllers and safety PLCs, data acquisition with encoder, current and force/torque signals.
  • Standards and compliance: ISO 10218, ISO 13849-1, IEC 62443, ISO 27001, GDPR.
Accreditable laboratories(EN ISO/IEC 17025) with robot and cobot cells, force/pressure measurement for collaborative limits, HIL/SIL, vibration analysis.
Evidence-driven final project:safety case, test plan, compliance dossier and operating limits.
Industry mentoring:faculty with experience in automotive robotics, aerospace automation, intralogistics and cobot integration.
Flexible format(hybrid/online), international cohorts and support from SEIUM Career Services.
Ethics and safety:safety-by-design, OT cybersecurity, responsible human–robot collaboration and compliance as pillars.
Career opportunities

Where this takes you

Automation Engineer in Industrial Robotics & Cobots (PLC, ROS, Integration)Robotics Applications Engineer (ROS, PLC, KUKA, FANUC)Cobot and Industrial Robotics Integration Engineer (ROS/ROS-Industrial, PLCs, cobot programming, machine vision, functional safety, cell integration)**Robotics & Cobots Engineer** (Programming, Automation, Robotic System Design)Mechatronic Systems Integration SpecialistRobot Safety & Compliance Analyst (risk assessment, CE marking, ISO 10218/ISO/TS 15066 conformity)
Admissions & scholarships

Requirements

  • Profile: Background in Mechanical, Electrical, Electronic, Mechatronics or Computer Engineering, or related fields; practical experience in automation, PLCs or robot programming is valued.
  • Documentation: Up-to-date CV, academic record, SOP/statement of purpose, project or code samples (optional).
  • Process: application → technical assessment of profile and experience → technical interview → review of practical cases → final decision → enrolment.
  • Fees:
    • Single payment: 10% discount.
    • Payment in 3 instalments: no fees; 30% on enrolment + 2 equal monthly payments of the remaining 35%.
    • Monthly payment: available with a 7% surcharge on the total; annual review.
  • Scholarships: based on academic merit, financial circumstances and the promotion of inclusion; agreements with industry partners for partial or full scholarships.
See “Calendar & intakes”, “Scholarships & grants” and “Fees & financing” in the SEIUM mega-menu

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FAQ

Frequently asked questions

Yes, we offer international certification.

Yes: experimental robot models, real production data, applied simulations, professional environments, real case studies.

It is not mandatory. We offer bridging tracks and tutoring.

Absolutely. It covers cobot deployment, PLC/OPC UA integration and machinery regulation (ISO 10218, EU 2023/1230).

Recommended. There are also internal challenges and consortia.

Yes. Online/hybrid format with scheduled laboratories and visa support (see “Visa & residence”).

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