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Postgraduate DiplomaAerospace, UAM, Drones & Space Applications open

Diploma in Drone Fleet Management and Inspection Data

Online postgraduate diploma of 800 hours in drone fleet management and inspection data. 8 modules covering fleet management, maintenance and airworthiness, operations and compliance, inspection data capture, data management, inspection analytics and business scaling under Implementing Regulation (EU) 2019/947 and GDPR, with an assigned technical tutor.

Duration6–8 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

Organise the end-to-end management of a drone fleet.

02

Design maintenance and battery management programmes.

03

Ensure the operational compliance of the UAS operator.

04

Specify inspection data capture standards.

05

Design storage architectures and data governance.

06

Automate inspection analytics and reporting.

07

Evaluate business models and the scaling of inspection services.

Profile

Who it's for

  • Drone fleet managers.
  • UAS operations managers.
  • Geospatial data engineers.
  • Inspection analysts.
  • UAS maintenance managers.
  • Product owners of inspection platforms.
  • Engineering or science graduates looking to join drone operators.
Standards & tools

What you'll work with

  • Implementing Regulation (EU) 2019/947 (rules and procedures for the operation of unmanned aircraft)
  • Delegated Regulation (EU) 2019/945 (unmanned aircraft systems and third-country operators)
  • Regulation (EU) 2016/679 (GDPR) (personal data protection)
  • ISO 55000 (asset management)
  • ISO/IEC 27001 (information security management)
  • ISO 19115 (geographic metadata)
  • OGC Cloud Optimized GeoTIFF (cloud raster format)
  • Royal Decree 517/2024 (Spanish legal framework for civil UAS operations)
  • DroneDeploy
  • FlightHub 2
  • Pix4Dcloud
  • PostGIS
  • Microsoft Power BI
Syllabus

8 modules

  1. 1.1Life cycle of a UAS fleet
  2. 1.2Organisational structures of the operator
  3. 1.3Inventory of aircraft and components
  4. 1.4Allocation of resources and pilots
  5. 1.5Fleet operational indicators
  6. 1.6Ownership and leasing models
  7. 1.7Scaling operations
  8. 1.8Docked drones and automation
  9. 1.9Fleet management platforms
  10. 1.10Case study: assessment of a 30-drone fleet
  1. 2.1Manufacturer maintenance programme
  2. 2.2Logging of hours and cycles
  3. 2.3Battery management and service life
  4. 2.4Pre-flight and periodic inspections
  5. 2.5Firmware management
  6. 2.6Spare parts management
  7. 2.7Analysis of failures and incidents
  8. 2.8Predictive maintenance with telemetry
  9. 2.9Operator requirements in the specific category
  10. 2.10Practical exercise: maintenance plan for a mixed fleet
  1. 3.1Operations manual
  2. 3.2Management of authorisations
  3. 3.3Management of licences and training
  4. 3.4Insurance and liability
  5. 3.5Mission planning at scale
  6. 3.6Safety management
  7. 3.7Occurrence reporting
  8. 3.8Internal audits
  9. 3.9Integration with U-space
  10. 3.10Workshop: structure of the operator's operations manual
  1. 4.1Capture standards by asset type
  2. 4.2Resolution, GSD and overlaps
  3. 4.3Metadata and georeferencing
  4. 4.4Quality control in the field
  5. 4.5Mission repeatability
  6. 4.6RGB, thermal and multispectral sensors
  7. 4.7LiDAR and point clouds
  8. 4.8Indoor capture
  9. 4.9Data volume per mission
  10. 4.10Lab: capture specification for a solar farm
  1. 5.1Storage architectures
  2. 5.2Data lakes and cloud storage
  3. 5.3Cataloguing and metadata
  4. 5.4Data governance
  5. 5.5Standard formats: GeoTIFF, LAS and COG
  6. 5.6Asset versioning
  7. 5.7Security and access control
  8. 5.8Data retention and protection
  9. 5.9Interoperability with asset systems
  10. 5.10Practical exercise: inspection data model in PostGIS
  1. 6.1Photogrammetric processing at scale
  2. 6.2Automatic defect detection
  3. 6.3Data labelling and training
  4. 6.4Model performance metrics
  5. 6.5Temporal comparison and change detection
  6. 6.6Digital twins of assets
  7. 6.7Condition dashboards
  8. 6.8Integration with EAM systems
  9. 6.9Report automation
  10. 6.10Lab: cloud-based defect detection pipeline
  1. 7.1Inspection service models
  2. 7.2Costs per mission and per asset
  3. 7.3Pricing
  4. 7.4Service level agreements
  5. 7.5Value of the data for the client
  6. 7.6Return on investment
  7. 7.7Outsourcing versus an in-house fleet
  8. 7.8Supplier management
  9. 7.9Financial indicators
  10. 7.10Case study: proposal for a recurring inspection service
  1. 8.1Fleet assessment
  2. 8.2Maintenance plan
  3. 8.3Operating model
  4. 8.4Capture specification
  5. 8.5Data architecture
  6. 8.6Analytics pipeline
  7. 8.7Economic model
  8. 8.8Implementation plan
  9. 8.9Report and presentation
  10. 8.10Final project: final review with the tutor
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 the intake, so the programme fits around your job.

Each module combines theory, guided reading of the original standards and applied exercises. The working software is DroneDeploy, FlightHub 2, Pix4Dcloud, PostGIS and Microsoft Power BI, in free, academic or evaluation versions. Exercises are based on real procedures: design of the data architecture for an inspection operator, maintenance planning for a drone fleet and automation of inspection reports. Assessment is continuous by module, plus the final integrative project.

Standards covered: Implementing Regulation (EU) 2019/947, Delegated Regulation (EU) 2019/945, Regulation (EU) 2016/679 (GDPR), ISO 55000, ISO/IEC 27001, ISO 19115, OGC Cloud Optimized GeoTIFF, Royal Decree 517/2024.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of Implementing Regulation (EU) 2019/947, Delegated Regulation (EU) 2019/945 and GDPR applied to real cases, not as a theoretical annex.
Industry software:DroneDeploy, FlightHub 2, Pix4Dcloud, PostGIS and Microsoft Power BI, in free, academic or evaluation versions.
Final project:A fleet and data project covering fleet assessment, maintenance plan, operating model, capture specification, data architecture, analytics pipeline and economic model, reviewed by your tutor.
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.

Fleet assessment
Assess the fleet and define its maintenance plan.
Operating model
Design the operating model and the capture specification.
Data architecture
Build the data architecture and the analytics pipeline.
Economic model
Develop the economic model and the implementation plan.
Final project
A fleet and data project covering fleet assessment, maintenance plan, operating model, capture specification, data architecture, analytics pipeline and economic model, reviewed by your tutor.
Career opportunities

Where this takes you

Drone fleet managerUAS operations managerGeospatial data engineerInspection analystUAS maintenance managerInspection platform product owner
Admissions & scholarships

Requirements

  • Prior technical training or professional experience in the sector. A university degree is not required.
  • 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 800 hours over 6–8 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.

You work with DroneDeploy, FlightHub 2, Pix4Dcloud, PostGIS and Microsoft Power BI, 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 final project. 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 are recognised in a higher programme in the same area (postgraduate diploma or master's). Ask about the recognition policy when you enrol.

Prior technical training or professional experience in the sector (no university degree required), 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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