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Master’s in Human Factors & HMI Engineering for UAM

Online master's programme of 1,900 hours in human factors and HMI engineering for UAM, structured in 12 modules covering aviation human factors, UAM specifics, cockpit ergonomics, display design, automation and autonomy, remote fleet supervision, workload assessment, simulation, training, passenger experience and human factors certification, 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

Understand the principles of human factors in aviation.

02

Analyse the human-related specifics of UAM operations.

03

Design ergonomic cockpits and displays for eVTOL aircraft.

04

Define user-centred automation strategies.

05

Assess workload using subjective and physiological methods.

06

Prototype and validate interfaces through simulation.

07

Prepare compliance with human factors requirements.

Profile

Who it's for

  • Human factors specialists moving into urban air mobility.
  • Aeronautical HMI designers working on eVTOL cockpits and ground stations.
  • Cockpit certification engineers preparing SC-VTOL and CS-25.1302 compliance.
  • Researchers in human–automation interaction.
  • Passenger experience designers in air mobility.
  • Simulator instructors.
  • Engineering or science graduates seeking to enter urban air mobility.
Standards & tools

What you'll work with

  • CS-25.1302 (EASA installed systems and equipment for use by the flight crew)
  • Special Condition SC-VTOL (EASA requirements for VTOL aircraft)
  • 14 CFR §25.1302 (FAA flight crew systems requirements)
  • SAE ARP4102 (flight deck panels, controls and displays)
  • SAE ARP5289 (electronic aeronautical symbols)
  • ISO 9241-210 (human-centred design for interactive systems)
  • ISO 9241-11 (usability definitions and concepts)
  • ICAO Doc 10151 (Manual on Human Performance)
  • MATLAB
  • Unity
  • Tobii Pro Lab
  • Figma
  • X-Plane
Syllabus

12 modules · 1900 h

  1. 1.1SHELL interaction model
  2. 1.2Reason's Swiss cheese model
  3. 1.3Human performance and limitations
  4. 1.4Perception and attention
  5. 1.5Memory and decision-making
  6. 1.6Mental workload
  7. 1.7Situational awareness and its levels
  8. 1.8Fatigue and circadian rhythms
  9. 1.9Human error: HFACS taxonomy
  10. 1.10Case study: HFACS analysis of a helicopter accident
  1. 2.1Single-pilot operations in air taxis
  2. 2.2Passengers with no aviation experience
  3. 2.3Dense urban environment
  4. 2.4High flight frequency
  5. 2.5Transition between flight modes
  6. 2.6Remote piloting and supervision
  7. 2.7Progressive automation of piloting
  8. 2.8Management of multiple vehicles
  9. 2.9Interaction with U-space controllers
  10. 2.10Workshop: task analysis of an air taxi pilot
  1. 3.1Anthropometry and reach
  2. 3.2External visibility from the cockpit
  3. 3.3Control layout
  4. 3.4Inceptors: sidestick and unified controls
  5. 3.5Seats and restraint
  6. 3.6Cockpit environmental conditions
  7. 3.7Passenger accessibility
  8. 3.8Cockpit lighting
  9. 3.9SC-VTOL cockpit requirements
  10. 3.10Practical exercise: ergonomic assessment of a cockpit mock-up
  1. 4.1Display design principles
  2. 4.2Simplified primary flight display
  3. 4.3Synthetic vision for urban environments
  4. 4.4Head-up displays and augmented reality
  5. 4.5Energy and battery representation
  6. 4.6Alerts and warning hierarchy
  7. 4.7Certifiable touch interfaces
  8. 4.8Colour and symbology
  9. 4.9SAE standards for displays
  10. 4.10Lab: PFD prototype for an eVTOL
  1. 5.1Levels of automation
  2. 5.2Simplified vehicle operations
  3. 5.3Automation surprises and mode confusion
  4. 5.4Surprise and startle
  5. 5.5Human–autonomy interaction
  6. 5.6Trust in automation
  7. 5.7Transfer of control
  8. 5.8Supervision of autonomous vehicles
  9. 5.9AI explainability
  10. 5.10Case study: design of autonomy modes and transitions
  1. 6.1Ground control stations
  2. 6.2Vehicle-to-operator ratio
  3. 6.3Latency and link loss
  4. 6.4Presentation of fleet information
  5. 6.5Exception management
  6. 6.6Alarm design
  7. 6.7Workload in multi-vehicle supervision
  8. 6.8Teamwork in control centres
  9. 6.9Shifts and fatigue
  10. 6.10Practical exercise: design of a multi-vehicle supervision interface
  1. 7.1NASA-TLX workload questionnaire
  2. 7.2Bedford and Cooper-Harper scales
  3. 7.3Physiological measures: EEG and eye tracking
  4. 7.4Heart rate variability
  5. 7.5Performance measures
  6. 7.6Experimental study design
  7. 7.7Statistics applied to human factors
  8. 7.8Ethics in trials with human participants
  9. 7.9Analysis of results
  10. 7.10Lab: NASA-TLX study in a simulator
  1. 8.1Research simulators
  2. 8.2Virtual and augmented reality
  3. 8.3Rapid HMI prototyping
  4. 8.4Human-in-the-loop trials
  5. 8.5User-centred design
  6. 8.6Design iteration
  7. 8.7Usability testing
  8. 8.8SUS usability scale
  9. 8.9Prototyping tools
  10. 8.10Practical exercise: usability test of an HMI in virtual reality
  1. 9.1Pilot licences for VCA
  2. 9.2Competency-based training
  3. 9.3Simulator training
  4. 9.4Training for remote operations
  5. 9.5CRM and TEM
  6. 9.6Competency assessment
  7. 9.7Abnormal procedures training
  8. 9.8Recurrent training and checks
  9. 9.9Instructors and examiners
  10. 9.10Case study: eVTOL pilot training programme
  1. 10.1Passenger anxiety and trust
  2. 10.2Communication with passengers
  3. 10.3Safety instructions
  4. 10.4Universal accessibility for passengers
  5. 10.5Vibroacoustic comfort in the cabin
  6. 10.6The experience without a pilot on board
  7. 10.7Emergency management with passengers
  8. 10.8Passenger cabin design
  9. 10.9Acceptance research
  10. 10.10Workshop: design of the boarding experience
  1. 11.1CS-25.1302 as a reference
  2. 11.2HF requirements in SC-VTOL
  3. 11.3HF certification plan
  4. 11.4Design evaluations
  5. 11.5Error analysis
  6. 11.6Tests with pilots
  7. 11.7Compliance documentation
  8. 11.8Integration with the safety assessment
  9. 11.9Certification lessons learned
  10. 11.10Case study: HF compliance plan for an eVTOL
  1. 12.1Definition of the HF problem
  2. 12.2Task analysis
  3. 12.3Interface requirements
  4. 12.4HMI conceptual design
  5. 12.5Interface prototyping
  6. 12.6User evaluation
  7. 12.7Workload analysis
  8. 12.8Compliance proposal
  9. 12.9Master's Thesis report
  10. 12.10Master's Thesis: defence before a panel
Methodology, software & labs

How you'll learn

The programme is delivered 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 you can combine it with your job.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is MATLAB, Unity, Tobii Pro Lab, Figma and X-Plane, in free, academic or evaluation versions. Exercises are based on real procedures: workload studies in a simulator, interface usability tests and cockpit prototypes in virtual reality. Assessment is continuous for each module, plus the final Master's Thesis.

Standards covered: CS-25.1302 (EASA), Special Condition SC-VTOL (EASA), 14 CFR §25.1302 (FAA), SAE ARP4102, SAE ARP5289, ISO 9241-210, ISO 9241-11, ICAO Doc 10151 Manual on Human Performance.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of CS-25.1302, SC-VTOL, 14 CFR §25.1302 and ISO 9241 applied to real cases, not as a theoretical annex.
Industry software:MATLAB, Unity, Tobii Pro Lab, Figma and X-Plane, in free, academic or evaluation versions.
Master's Thesis with defence:A complete human factors and HMI design for a UAM vehicle, from task analysis to compliance proposal, 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.

Air taxi task analysis
Analyse the tasks of an air taxi pilot in single-pilot urban operations.
eVTOL PFD prototype
Prototype a primary flight display tailored to eVTOL operations.
Multi-vehicle supervision HMI
Design an interface for supervising several remotely operated vehicles.
Simulator workload study
Run a NASA-TLX workload study and a VR usability test.
Master's Thesis
Integrate task analysis, HMI design, user evaluation and compliance proposal in a thesis, defended before a panel.
Career opportunities

Where this takes you

Human factors specialistAeronautical HMI designerCockpit certification engineerHuman–automation interaction researcherPassenger experience designerSimulator instructor
Admissions & scholarships

Requirements

  • University degree in engineering, science or architecture, or equivalent demonstrable professional experience.
  • Internet connection and a computer capable of running the programme's 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 MATLAB, Unity, Tobii Pro Lab, Figma and X-Plane, 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 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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