Course in Data Certification for Autonomous Drones
Online 300-hour course in data certification for autonomous drones. 6 modules covering Implementing Regulation (EU) 2019/947 (UAS operations), ISO 19157 (geographic data quality) and Pix4Dmapper. Dedicated tutor and open enrolment.
Take the controls.
Run a real engineering trade-off from this programme. Move the sliders, watch the model react in real time and beat the challenge.
What you will be able to do
Define drone-captured data as a product with quality requirements.
Document traceability and metadata in line with ISO 19115.
Assess positional and thematic accuracy using standardised methods.
Establish reproducible and version-controlled processing workflows.
Apply operational, privacy and data protection requirements.
Prepare the delivery and preservation of certifiable data.
Design a data certification procedure for a real operation.
Who it's for
- Geospatial data engineer with drones who wants to specialise in Data Certification for Autonomous Drones.
- Quality manager for cartographic products who wants to specialise in Data Certification for Autonomous Drones.
- Photogrammetry technician who wants to specialise in Data Certification for Autonomous Drones.
- UAS operator specialised in data capture who wants to specialise in Data Certification for Autonomous Drones.
- Inspection data manager who wants to specialise in Data Certification for Autonomous Drones.
- Compliance consultant in unmanned operations who wants to specialise in Data Certification for Autonomous Drones.
- Graduates in engineering or science seeking to enter surveying and cartography.
What you'll work with
- Implementing Regulation (EU) 2019/947 (UAS operations)
- ISO 19157 (geographic data quality)
- ISO 19115 (geographic metadata)
- Delegated Regulation (EU) 2019/945 (unmanned aircraft systems)
- ASPRS Positional Accuracy Standards for Digital Geospatial Data
- Directive 2007/2/EC (INSPIRE)
- Regulation (EU) 2016/679 (GDPR)
6 modules · 300 h
1.1Types of data generated: telemetry, imagery, position and sensor data1.2Uses of data: inspection, mapping, agriculture and monitoring1.3Quality requirements by application1.4The concept of data certification1.5Difference between certifying the system and certifying the data1.6Stakeholders: operator, laboratory, client and authority1.7Applicable standards for geographic information quality1.8Sector vocabulary and acronyms1.9Regulatory sources and how to access them1.10Exercise: define the quality requirements of a product
2.1Minimum metadata for a capture2.2Timestamp and time reference2.3Georeferencing and reference systems2.4Recording the sensor configuration2.5Recording the flight plan and actual execution2.6Chain of custody of data2.7File integrity and digital signatures2.8Versioning and management of derived products2.9Cataloguing and publishing metadata2.10Practice: define the metadata profile of a project
3.1Absolute and relative positional accuracy3.2Ground control points and their measurement3.3Real-time kinematic and post-processed positioning3.4Sensor and camera calibration3.5Ground resolution and product scale3.6Systematic errors and their correction3.7Independent validation of the product3.8Accuracy report and its content3.9Uncertainty and how to communicate it to the client3.10Practice: calculate and document the accuracy of a flight
4.1Processing workflow and its stages4.2Processing parameters and their recording4.3Digital models, orthophotos and point clouds4.4Quality control at each stage4.5Reproducibility of results4.6Software used and its version4.7Automated processing and human review4.8Detection of artefacts and gaps4.9Archiving of raw and intermediate data4.10Practice: document a processing workflow
5.1Data protection in captures involving people5.2Licences and data ownership5.3Contractual delivery requirements5.4Exchange formats and interoperability5.5Data service level agreements5.6Storage, backup and retention periods5.7Secure deletion at the end of the contract5.8Client audit of the process5.9Claims for product quality5.10Practice: delivery specification for a product
6.1Choice of application and client6.2Specification of data requirements6.3Design of the capture plan and ground control6.4Metadata profile and traceability6.5Accuracy validation plan6.6Documented processing workflow6.7Compliance and preservation plan6.8Delivery specification and service agreement6.9Technical report6.10Project defence
How you'll learn
100 % online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. No fixed timetable: students progress at their own pace within the intake, which makes it easy to combine with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is Pix4Dmapper, Agisoft Metashape, QGIS, CloudCompare, Python (pandas), in free, academic or evaluation versions. Tests are studied using real validation procedures with GNSS ground control points, metadata and traceability auditing, and reproducible photogrammetric processing. Assessment is continuous by module plus the final integrative project.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Define drone-captured data as a product with quality requirements.
Document traceability and metadata in line with ISO 19115.
Assess positional and thematic accuracy using standardised methods.
Establish reproducible and version-controlled processing workflows.
Apply operational, privacy and data protection requirements.
Where this takes you
Requirements
- No prior degree required.
- Internet connection and a computer capable of running the programme's software.
- Sufficient level of 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.
Frequently asked questions
The programme totals 300 hours spread over 3 to 5 months. That is an average of between 10 and 15 hours per week, compatible with a full-time job.
The course works with Pix4Dmapper, Agisoft Metashape, QGIS, CloudCompare, Python (pandas). Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.
An in-house SEIUM diploma upon passing the continuous assessment and the integrative project. This is in-house training, not an official qualification from the Spanish Ministry.
Yes. Modules passed in a course or postgraduate diploma in the same area can be recognised towards the advanced programme. Check the recognition policy when you enrol.
Related programmes
Course in Operations in Extreme Terrain: Jungle
Online 300-hour course in operations in extreme terrain: jungle. 6 modules covering ISO 7243 (heat stress, WBGT index), ISO 7933 (estimated heat strain) and QGIS. Assigned…
Course in Multimodal Technical Expert Assessment of Incidents
Online 300-hour course in multimodal technical expert assessment of incidents. 6 modules covering Ley 1/2000 de Enjuiciamiento Civil (expert evidence), UNE 197001 (criteria for preparing expert…
Course in Simulation of Natural Catastrophe Scenarios
Online course of 300 h in simulation of natural catastrophe scenarios. 6 modules covering the Sendai Framework for Disaster Risk Reduction 2015-2030, Directive 2007/60/EC (flood risk…
More in Regulation, Safety, RAMS & Homologation
All Regulation, Safety, RAMS & Homologation programmes → · How to apply · Fees & financing · Scholarships