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Postgraduate Diploma in Operations and Urban Data for 2R Sharing

Online 800-hour Postgraduate Diploma in Operations and Urban Data for 2R Sharing. 8 modules covering GBFS v3.0 (General Bikeshare Feed Specification), MDS 2.0 (Mobility Data Specification) and QGIS. Dedicated tutor and open enrolment.

Duration800 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

Compare the business models and operations of shared micromobility.

02

Organise street operations: rebalancing, battery swapping and maintenance.

03

Use the GBFS and MDS standards to exchange data with cities.

04

Analyse spatial and temporal demand using GIS tools.

05

Optimise routes and fleet sizing using quantitative methods.

06

Interpret municipal regulations and tender specifications.

07

Evaluate the safety, sustainability and user experience of the service.

Profile

Who it's for

  • Sharing operations manager looking to specialise in Operations and Urban Data for 2R Sharing.
  • Mobility data analyst looking to specialise in Operations and Urban Data for 2R Sharing.
  • Municipal mobility officer looking to specialise in Operations and Urban Data for 2R Sharing.
  • Fleet planner looking to specialise in Operations and Urban Data for 2R Sharing.
  • Micromobility consultant looking to specialise in Operations and Urban Data for 2R Sharing.
  • Logistics optimisation engineer looking to specialise in Operations and Urban Data for 2R Sharing.
  • Engineering or science graduates seeking to join moped and e-scooter sharing operators.
Standards & tools

What you'll work with

  • GBFS v3.0 (General Bikeshare Feed Specification)
  • MDS 2.0 (Mobility Data Specification)
  • Regulation (EU) 2016/679 (GDPR)
  • Delegated Regulation (EU) 2017/1926
  • Directive (EU) 2019/1024
  • Royal Decree 970/2020
  • ISO 37120:2018
  • Law 9/2017 on Public Sector Contracts
Syllabus

8 modules · 800 h

  1. 1.1Shared mopeds, bicycles and e-scooters
  2. 1.2Fixed stations versus free-floating
  3. 1.3Operator, city council and user
  4. 1.4Revenue model and tariffs
  5. 1.5Municipal licences and tenders
  6. 1.6Experiences in European cities
  7. 1.7Modal shift and mobility effects
  8. 1.8Occupation of public space
  9. 1.9Unit economics per trip
  10. 1.10Case study: comparison of models in two Spanish cities
  1. 2.1Deployment and zoning
  2. 2.2Vehicle rebalancing
  3. 2.3On-street battery swapping
  4. 2.4Light maintenance and workshops
  5. 2.5Removal of badly parked vehicles
  6. 2.6Shifts and operations teams
  7. 2.7Service vehicles and logistics
  8. 2.8Availability and trips per vehicle
  9. 2.9Outsourcing of operations
  10. 2.10Practical exercise: rebalancing plan for 200 vehicles
  1. 3.1Vehicle telemetry
  2. 3.2Trips, events and statuses
  3. 3.3GBFS specification for users
  4. 3.4MDS specification for cities
  5. 3.5Data quality and integrity
  6. 3.6Storage with PostGIS
  7. 3.7Anonymisation and privacy
  8. 3.8Open data and reuse
  9. 3.9Interoperability with MaaS platforms
  10. 3.10Laboratory: consuming a GBFS feed with Python
  1. 4.1Origin and destination heat maps
  2. 4.2OD matrices and hexagonal aggregation
  3. 4.3Hourly and seasonal patterns
  4. 4.4Effect of weather
  5. 4.5Relationship with public transport
  6. 4.6User segmentation
  7. 4.7Demand forecasting models
  8. 4.8Price elasticity
  9. 4.9Detection of underserved areas
  10. 4.10Practical exercise: origin-destination analysis in QGIS
  1. 5.1Rebalancing as a routing problem
  2. 5.2Heuristics and metaheuristics
  3. 5.3Short-term forecasting
  4. 5.4Location of parking zones
  5. 5.5Battery swapping routes
  6. 5.6Fleet sizing
  7. 5.7Dynamic pricing and incentives
  8. 5.8Operations simulation
  9. 5.9Cost per trip and profitability
  10. 5.10Workshop: route optimisation with OR-Tools
  1. 6.1Mobility ordinances
  2. 6.2Sharing tender specifications
  3. 6.3Fleet caps and fees
  4. 6.4Parking zones and geofencing
  5. 6.5Compliance indicators
  6. 6.6Supervision using operator data
  7. 6.7Territorial equity and accessibility
  8. 6.8Coordination with the local police
  9. 6.9Evaluation of pilot programmes
  10. 6.10Case study: technical specification for a municipal tender
  1. 7.1Accident rates in micromobility
  2. 7.2Detection of improper riding
  3. 7.3Age verification and helmet use
  4. 7.4Life-cycle carbon footprint
  5. 7.5Vehicle lifespan
  6. 7.6User experience in the app
  7. 7.7Customer service and complaints
  8. 7.8Relations with neighbours and businesses
  9. 7.9Sustainability indicators
  10. 7.10Workshop: environmental impact of a shared fleet
  1. 8.1City diagnosis
  2. 8.2Demand analysis
  3. 8.3Service design
  4. 8.4Operations plan
  5. 8.5Data model
  6. 8.6Indicators and compliance
  7. 8.7Economic viability of the service
  8. 8.8Deployment plan
  9. 8.9Report and presentation
  10. 8.10Final review with the tutor
Methodology, software & labs

How you'll learn

Fully 100% online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. No fixed timetables: students progress at their own pace within the intake, which makes it possible to combine study with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is QGIS, Python (GeoPandas, OR-Tools), PostgreSQL/PostGIS, Kepler.gl, Tableau, in free, academic or evaluation versions. The case studies are based on real procedures: origin-destination analysis of moped sharing trips in QGIS, route optimisation for battery swapping, and drafting the technical specification of a municipal sharing tender. Assessment is continuous per module plus the final integrative project.

Accreditable laboratories(EN ISO/IEC 17025) with rotor bench, EMC/Lightning pre-compliance, HIL/SIL, vibrations/acoustics.
Evidence-oriented Master's Thesis:safety case, test plan, compliance dossier and operational limits.
Industry Mentored:teachers with experience in training, , eVTOL/UAM and flight test.
Flexible modality(hybrid/online), international cohorts and support from SEIUM Career Services.
Ethics and safety:safety-by-design approach, cyber-OT, DIH and compliance as pillars.
Capstone project

Build it end to end

Your final project follows the real engineering workflow, step by step, reviewed by your tutor.

City diagnosis

Compare the business models and operations of shared micromobility.

Demand analysis

Organise street operations: rebalancing, battery swapping and maintenance.

Service design

Use the GBFS and MDS standards to exchange data with cities.

Operations plan

Analyse spatial and temporal demand using GIS tools.

Data model

Optimise routes and fleet sizing using quantitative methods.

Career opportunities

Where this takes you

Sharing operations managerMobility data analystMunicipal mobility officerFleet plannerMicromobility consultantLogistics optimisation engineer
Admissions & scholarships

Requirements

  • Prior technical training or professional experience in the sector. No university degree is required.
  • Internet connection and a computer capable of running the programme's software.
  • Sufficient Spanish to follow technical regulatory texts.

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 is 800 hours in total, spread over 6 to 8 months. That is an average of 10 to 15 hours per week, compatible with a full-time job.

You will work with QGIS, Python (GeoPandas, OR-Tools), PostgreSQL/PostGIS, Kepler.gl, Tableau. Free, academic or evaluation versions are used, and the tutor indicates the open-source alternative where one exists.

An in-house SEIUM Institute diploma on passing the continuous assessment and the integrative project. This is not an official qualification from the Ministry.

Yes. Modules passed in a course or postgraduate diploma in the same area are recognised in the advanced programme. Please check the recognition policy when you enrol.

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