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Master’s in Risk Psychology and Advanced Training Engineering

Online master's programme of 1,900 hours in risk psychology and advanced rider training engineering, with 12 modules covering motorcyclist psychology, risk perception, attention and mental workload, decision-making and error, riding competences, adult pedagogy, simulators and VR, track and road training, evaluation of interventions and road safety management, 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

Explain the psychological processes involved in risk perception.

02

Analyse the behavioural factors that influence crash rates.

03

Design evidence-based advanced training programmes.

04

Use simulators and virtual reality as training tools.

05

Evaluate the effectiveness of training interventions with quantitative methods.

06

Apply teaching techniques adapted to adult motorcyclists.

07

Develop an advanced training programme and its evaluation.

Profile

Who it's for

  • Advanced motorcycle riding instructors.
  • Traffic psychologists working with riders and drivers.
  • Designers of road safety training programmes.
  • Human factors researchers in road safety.
  • Corporate road safety managers responsible for motorcycle fleets.
  • Riding school instructors on track and road.
  • Engineering or science graduates aiming to join driving and riding schools.
Standards & tools

What you'll work with

  • Directive 2006/126/EC (European driving licences)
  • Royal Decree 818/2009 (Spanish General Driver Regulations)
  • ISO 39001 (road traffic safety management systems)
  • ISO 10075-1 (mental workload)
  • ISO 9241-210 (human-centred design)
  • Regulation (EU) 2016/679 (GDPR, data protection)
  • ISO 21001 (educational organisations management systems)
  • ISO 15007 (driver visual behaviour measurement)
  • SPSS
  • R
  • Tobii Pro Lab
  • Unity
  • Qualtrics
Syllabus

12 modules · 1900 h

  1. 1.1Motivations for riding a motorcycle
  2. 1.2Personality and sensation seeking
  3. 1.3Attitudes towards risk
  4. 1.4Social norms and the group
  5. 1.5Motorcyclist identity
  6. 1.6Overconfidence
  7. 1.7Experience and expertise
  8. 1.8Differences by age and gender
  9. 1.9Riding styles
  10. 1.10Case study: risk profiles in a sample
  1. 2.1Risk homeostasis models
  2. 2.2Task capability model
  3. 2.3Hazard perception
  4. 2.4Anticipating situations
  5. 2.5Visual search strategies
  6. 2.6Differences between novices and experts
  7. 2.7Cognitive biases in decision-making
  8. 2.8Self-assessment of ability
  9. 2.9Measuring risk perception
  10. 2.10Lab: hazard perception test with videos
  1. 3.1Driver selective attention
  2. 3.2Gaze patterns in bends
  3. 3.3Rider peripheral vision
  4. 3.4Mental workload and performance
  5. 3.5Distraction and its effects
  6. 3.6Fatigue and vigilance
  7. 3.7Eye tracking to ISO 15007
  8. 3.8Workload scale to ISO 10075
  9. 3.9Gaze training
  10. 3.10Practical: gaze study with eye tracking
  1. 4.1Real-time decisions
  2. 4.2Heuristics in riding
  3. 4.3Errors and violations
  4. 4.4Error taxonomy
  5. 4.5Handling unexpected situations
  6. 4.6Panic reactions
  7. 4.7Emergency braking and fear
  8. 4.8Skill automation
  9. 4.9Group decisions
  10. 4.10Case study: analysis of errors in accidents
  1. 5.1GDE matrix of training goals
  2. 5.2Vehicle control
  3. 5.3Mastering traffic situations
  4. 5.4Goals and context of the journey
  5. 5.5Life goals and skills for living
  6. 5.6Braking techniques
  7. 5.7Cornering line techniques
  8. 5.8Riding in the wet
  9. 5.9Riding with a passenger
  10. 5.10Workshop: competence matrix for a course
  1. 6.1Adult learning
  2. 6.2Coaching in road safety training
  3. 6.3Effective feedback to the learner
  4. 6.4Experiential learning on the track
  5. 6.5Reflection and self-assessment
  6. 6.6Theoretical and practical training
  7. 6.7Group management
  8. 6.8Instructional design of courses
  9. 6.9Training the trainer
  10. 6.10Practical: coaching session
  1. 7.1Motorcycle simulators
  2. 7.2Immersive virtual reality
  3. 7.3Virtual risk scenarios
  4. 7.4Validity of simulators
  5. 7.5Simulator sickness
  6. 7.6Scenario design
  7. 7.7Data logging
  8. 7.8Integration into courses
  9. 7.9Costs and accessibility
  10. 7.10Lab: designing a scenario in Unity
  1. 8.1Closed-track exercises
  2. 8.2Braking and swerving
  3. 8.3Countersteering techniques
  4. 8.4Circuit training
  5. 8.5Open-road training
  6. 8.6Safety of exercises
  7. 8.7Equipment and resources
  8. 8.8Skills assessment
  9. 8.9Learner progression
  10. 8.10Case study: programme for an advanced course
  1. 9.1Design of evaluation studies
  2. 9.2Outcome measures
  3. 9.3Control groups
  4. 9.4Long-term evaluation
  5. 9.5Unintended effects of training
  6. 9.6Statistical analysis of results
  7. 9.7Review of the scientific literature
  8. 9.8Cost–benefit analysis
  9. 9.9Communicating results
  10. 9.10Practical: design of a controlled evaluation
  1. 10.1The ISO 39001 system
  2. 10.2Road safety in companies
  3. 10.3Motorcycle delivery fleets
  4. 10.4Internal road safety policies
  5. 10.5Safety indicators
  6. 10.6Telemetry for training
  7. 10.7Incentives and culture
  8. 10.8Incident investigation
  9. 10.9Continuous improvement cycle
  10. 10.10Workshop: road safety plan for a fleet
  1. 11.1European driving licences
  2. 11.2Progressive access to motorcycles
  3. 11.3Compulsory and voluntary training
  4. 11.4Refresher training
  5. 11.5Communication campaigns
  6. 11.6Role of motorcycle clubs
  7. 11.7Ethics in training
  8. 11.8Learner data protection
  9. 11.9Training quality to ISO 21001
  10. 11.10Case study: proposal to improve licence access
  1. 12.1Needs analysis
  2. 12.2Definition of the target population
  3. 12.3Training objectives
  4. 12.4Programme design
  5. 12.5Materials and scenarios
  6. 12.6Evaluation plan
  7. 12.7Pilot test of the programme
  8. 12.8Analysis of results
  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 the 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 SPSS, R, Tobii Pro Lab, Unity and Qualtrics, in free, academic or evaluation versions. Tests are studied through real procedures: assessment of risk perception using videos of traffic situations, design of an advanced riding course with a simulator, and gaze analysis of novice and expert motorcyclists. Assessment is continuous by module, plus the final Master's Thesis.

Standards covered: Directive 2006/126/EC, Royal Decree 818/2009 (Spanish General Driver Regulations), ISO 39001, ISO 10075-1, ISO 9241-210, Regulation (EU) 2016/679, ISO 21001, ISO 15007.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of Directive 2006/126/EC, Royal Decree 818/2009 and ISO 39001 applied to real cases, not as a theoretical annex.
Industry software:SPSS, R, Tobii Pro Lab, Unity and Qualtrics, in free, academic or evaluation versions.
Master's Thesis with defence:An evidence-based advanced rider training programme, from needs analysis and design to pilot test and evaluation, 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.

Needs analysis
Analyse training needs and define the target population.
Training objectives
Set training objectives based on the GDE matrix.
Programme and scenario design
Design the programme, materials and simulator scenarios.
Pilot test and evaluation
Run a pilot of the programme and analyse its results.
Master's Thesis
An advanced rider training programme with its evaluation, defended before a panel.
Career opportunities

Where this takes you

Advanced motorcycle riding instructorTraffic psychologistRoad safety training programme designerHuman factors researcherCorporate road safety managerRiding school instructor
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 SPSS, R, Tobii Pro Lab, Unity and Qualtrics, 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 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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