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Master’s in Two-Wheeler Fleet Operations Engineering

Online master's programme of 1,900 hours in two-wheeler fleet operations engineering, structured in 12 modules covering fleet sizing and planning, total cost of ownership, fleet maintenance, telematics, routing and operations, fleet electrification, road safety, people and labour framework, sustainability and urban regulation under ISO 39001, ISO 55001 and ISO 14001, 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

Size and plan fleets of two-wheeled vehicles.

02

Manage fleet maintenance and availability.

03

Analyse telemetry data to improve efficiency and safety.

04

Optimise routes, shifts and charging of electric vehicles.

05

Calculate total cost of ownership and compare alternatives.

06

Manage road safety, people and regulatory compliance.

07

Develop the operating plan for a two-wheeled vehicle fleet.

Profile

Who it's for

  • Two-wheeler fleet managers in delivery, sharing or rental businesses.
  • Mobility operations analysts working with fleet data.
  • Fleet maintenance managers responsible for uptime.
  • Route planners optimising last-mile delivery.
  • Fleet road safety managers reducing courier accidents.
  • Fleet electrification engineers planning the switch to electric.
  • Engineering or science graduates aiming to join last-mile delivery companies.
Standards & tools

What you'll work with

  • ISO 39001 (road traffic safety management systems)
  • ISO 55001 (asset management systems)
  • ISO 14001 (environmental management systems)
  • Regulation (EU) 2016/679 (General Data Protection Regulation)
  • Royal Decree 970/2020 (Spanish amendment to the General Traffic and Vehicle Regulations, including urban speed limits)
  • ISO 45001 (occupational health and safety management systems)
  • EN 13306 (maintenance terminology)
  • Directive (EU) 2019/1161 (promotion of clean road transport vehicles in public procurement)
  • Fleetio
  • Geotab
  • Python
  • Power BI
  • QGIS
Syllabus

12 modules · 1900 h

  1. 1.1Fleet typologies
  2. 1.2Last-mile delivery
  3. 1.3Motorcycle sharing services
  4. 1.4Tourist motorcycle rental
  5. 1.5Public service fleets
  6. 1.6Security and emergency fleets
  7. 1.7Market and operators
  8. 1.8Ownership models
  9. 1.9Operational challenges of fleets
  10. 1.10Case study: analysis of an urban delivery fleet
  1. 2.1Service demand
  2. 2.2Number of vehicles
  3. 2.3Model selection
  4. 2.4Combustion versus electric
  5. 2.5Required refuelling infrastructure
  6. 2.6Reserves and replacement vehicles
  7. 2.7Fleet growth
  8. 2.8Demand seasonality
  9. 2.9Planning tools
  10. 2.10Workshop: sizing a delivery fleet
  1. 3.1Purchase, renting and leasing
  2. 3.2Energy and fuel
  3. 3.3Fleet maintenance costs
  4. 3.4Vehicle and business insurance
  5. 3.5Taxes and fees
  6. 3.6Vehicle residual value
  7. 3.7Cost of downtime
  8. 3.8Comparison of alternatives
  9. 3.9TCO sensitivity
  10. 3.10Practical exercise: TCO model in a spreadsheet
  1. 4.1Maintenance plans
  2. 4.2In-house and external workshops
  3. 4.3Spare parts management
  4. 4.4Data-driven predictive maintenance
  5. 4.5Tyre management
  6. 4.6Damage and vandalism
  7. 4.7Battery management
  8. 4.8Maintenance indicators
  9. 4.9Asset management to ISO 55001
  10. 4.10Lab: maintenance plan for a motorcycle-sharing fleet
  1. 5.1Fleet telematics devices
  2. 5.2Location and geofences
  3. 5.3Riding data
  4. 5.4Consumption and energy
  5. 5.5Maintenance alerts
  6. 5.6Management platforms
  7. 5.7Data integration
  8. 5.8Dashboards
  9. 5.9Data quality
  10. 5.10Practical exercise: analysis of riding telemetry
  1. 6.1Route optimisation
  2. 6.2Vehicle routing problem
  3. 6.3Delivery time windows
  4. 6.4Work shifts
  5. 6.5Order dispatching
  6. 6.6Motorcycle-sharing operations
  7. 6.7Vehicle rebalancing
  8. 6.8Collection for charging
  9. 6.9Service operational indicators
  10. 6.10Workshop: route optimisation with Python
  1. 7.1Transition planning
  2. 7.2Selection of electric vehicles
  3. 7.3Depot charging
  4. 7.4Battery swapping
  5. 7.5Charging shifts
  6. 7.6Power management
  7. 7.7Public electrification incentives
  8. 7.8Electrification risks
  9. 7.9Electrification indicators
  10. 7.10Case study: electrification plan for a courier fleet
  1. 8.1Courier accident rates
  2. 8.2ISO 39001 management
  3. 8.3Rider training
  4. 8.4Protective equipment
  5. 8.5Telemetry for safety
  6. 8.6Accident investigation
  7. 8.7Safety culture
  8. 8.8Occupational safety to ISO 45001
  9. 8.9Incentives for safe riding
  10. 8.10Practical exercise: road safety plan for a fleet
  1. 9.1Employment models
  2. 9.2Regulation of couriers
  3. 9.3Worker data protection
  4. 9.4Training and retention
  5. 9.5Shifts and rest breaks
  6. 9.6Courier ergonomics
  7. 9.7Internal team communication
  8. 9.8Performance management
  9. 9.9Ethics in the use of data
  10. 9.10Case study: telemetry use policy
  1. 10.1Low-emission zones
  2. 10.2Motorcycle-sharing regulation
  3. 10.3Parking and public space
  4. 10.4Municipal operating licences
  5. 10.5Fleet carbon footprint
  6. 10.6Environmental management to ISO 14001
  7. 10.7Clean vehicles in public procurement
  8. 10.8Sustainability reporting
  9. 10.9Relations with city councils
  10. 10.10Practical exercise: carbon footprint report
  1. 11.1Business model
  2. 11.2Pricing and tariffs
  3. 11.3Profitability indicators
  4. 11.4Supplier management
  5. 11.5Fleet insurance
  6. 11.6Risk management
  7. 11.7Scaling to new cities
  8. 11.8Technology as an advantage
  9. 11.9Strategic business planning
  10. 11.10Workshop: expansion plan for a new city
  1. 12.1Service definition
  2. 12.2Fleet sizing
  3. 12.3TCO model
  4. 12.4Maintenance plan
  5. 12.5Telematics plan
  6. 12.6Routing and charging plan
  7. 12.7Road safety plan
  8. 12.8Project economic plan
  9. 12.9Master's Thesis 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. 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 Fleetio, Geotab, Python, Power BI and QGIS, in free, academic or evaluation versions. Practical work is based on real procedures: sizing of an electric delivery motorcycle fleet, analysis of couriers' riding telemetry and optimisation of routes and charging shifts in a city. Assessment is continuous by module plus the final Master's Thesis.

Standards covered: ISO 39001, ISO 55001, ISO 14001, Regulation (EU) 2016/679, Royal Decree 970/2020, ISO 45001, EN 13306, Directive (EU) 2019/1161.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of ISO 39001, ISO 55001, ISO 14001 and ISO 45001 applied to real cases, not as a theoretical annex.
Industry software:Fleetio, Geotab, Python, Power BI and QGIS, in free, academic or evaluation versions.
Master's Thesis with defence:the operating plan for a two-wheeled vehicle fleet, from service definition and fleet sizing to TCO, maintenance, telematics, routing and charging, road safety and the economic 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.

Delivery fleet sizing
Size an electric delivery fleet against service demand, reserves and seasonality.
TCO model
Build a total cost of ownership model comparing purchase, renting and leasing.
Telemetry analysis
Analyse riding telemetry to improve efficiency and road safety.
Route optimisation
Optimise routes and charging shifts with Python for a city operation.
Master's Thesis
The operating plan for a two-wheeled vehicle fleet, from service definition and fleet sizing to TCO, maintenance, telematics, routing and charging, road safety and the economic plan, defended before a panel.
Career opportunities

Where this takes you

Two-wheeler fleet managerMobility operations analystFleet maintenance managerRoute plannerFleet road safety managerFleet electrification engineer
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 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.

Apply now Scholarships
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 Fleetio, Geotab, Python, Power BI and QGIS, 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, plus 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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