Postgraduate Diploma in Digital Loss Adjustment with AI and Drones
Online 800-hour Postgraduate Diploma in Digital Loss Adjustment with AI and Drones. 8 modules covering Commission Implementing Regulation (EU) 2019/947 (UAS operations), Commission Delegated Regulation (EU) 2019/945 (unmanned aircraft systems) and Pix4Dmapper. Assigned tutor and enrolment open.
Postgraduate Diploma in Digital Loss Adjustment with AI and Drones — studying from the United States
Insurance and risk analysis are central to the American financial system, with major hubs in Hartford, New York, Chicago and Des Moines. Insurers, reinsurers and consulting firms rely on actuarial models, catastrophe modeling and data analytics to price risk and manage capital. Engineers with quantitative skills contribute to underwriting, claims analysis and risk assessment for sectors such as automotive, aviation and property. State insurance regulators and professional credentialing bodies shape the profession's standards.
Fees for the United States: US$1,220 (US Dollars), with instalments and employer sponsorship available.
Relevant bodies in the United States
Typical roles
Questions from the United States
Which US bodies govern actuarial and risk credentials, and is SEIUM recognized?
Actuarial credentials in the US are overseen by the Society of Actuaries and the Casualty Actuarial Society, with professional standards linked to the American Academy of Actuaries. Enrolment-based actuarial and state insurance regulators set the rules for practice. SEIUM's qualifications are private and not accredited by any national body, so recognition for professional actuarial roles is decided by employers or those bodies.
What roles in US insurance and risk management might this training support?
Typical roles include risk analyst, data scientist in insurance, reliability or catastrophe modelling specialist, and underwriting analytics. Insurers, reinsurers, brokers, and consultancies hire for these skills. Whether a private qualification carries weight depends on the employer, so reviewing job descriptions and asking hiring managers is the most reliable way to judge fit.
How is the programme delivered for someone working in US time zones?
Programmes are fully online and taught in English, with an assigned technical tutor and a final project. Because the study is asynchronous to a degree, you can often fit sessions around US working hours, though you should confirm schedule details with the institute. Instalment payment plans are available, and employer sponsorship may be possible for eligible students.
Take the controls.
Run a real engineering trade-off from this field. Move the sliders, watch the model react in real time and beat the challenge.
What you will be able to do
Compare traditional and digital loss adjustment methods.
Apply computer vision techniques to identify and quantify damage.
Plan drone operations in line with European UAS regulations.
Generate 3D models and orthophotos through photogrammetry for damage measurement.
Organise mass loss adjustment following catastrophic events.
Automate the preparation of the claim file and the expert report.
Ensure quality, traceability and the ethical use of AI in loss adjustment.
Who it's for
- Digital insurance loss adjuster who wants to specialise in Digital Loss Adjustment with AI and Drones.
- Drone pilot for expert inspection who wants to specialise in Digital Loss Adjustment with AI and Drones.
- Photogrammetry technician who wants to specialise in Digital Loss Adjustment with AI and Drones.
- Computer vision analyst who wants to specialise in Digital Loss Adjustment with AI and Drones.
- Loss adjustment coordinator for catastrophes who wants to specialise in Digital Loss Adjustment with AI and Drones.
- Claims innovation manager who wants to specialise in Digital Loss Adjustment with AI and Drones.
- Graduates in engineering or science seeking to enter insurance loss adjustment.
What you'll work with
- Commission Implementing Regulation (EU) 2019/947 (UAS operations)
- Commission Delegated Regulation (EU) 2019/945 (unmanned aircraft systems)
- UNE 197001 (general criteria for expert reports and opinions)
- Law 1/2000 on Civil Procedure (expert evidence)
- Law 50/1980 on Insurance Contracts
- Royal Legislative Decree 7/2004 (Legal Statute of the Insurance Compensation Consortium)
- Regulation (EU) 2024/1689 (Artificial Intelligence Act)
- Regulation (EU) 2016/679 (GDPR)
8 modules · 800 h
1.1Role of the insurance loss adjuster and professional framework1.2Types of claims that can be assessed1.3Classic inspection and valuation methodology1.4Video assessment and self-assessment by the insured1.5Chain of custody of digital evidence1.6Expert report requirements and evidential validity1.7Timelines and loss adjustment processes1.8Loss adjustment efficiency indicators1.9Limitations of remote loss adjustment1.10Case study: comparison of an on-site and a digital claim file
2.1Fundamentals of convolutional neural networks2.2Classification of damage images2.3Object detection with YOLO and Faster R-CNN2.4Semantic and instance segmentation of damage2.5Severity estimation from images2.6Creation and labelling of claims datasets2.7Data augmentation and class imbalance2.8Metrics: precision, recall, mAP and IoU2.9Model biases and typical errors2.10Laboratory: dent detector for vehicle bodywork
3.1Types of RPAS: multirotor and fixed-wing3.2RGB, thermal and multispectral sensors3.3Planning inspection flights3.4Commission Implementing Regulation (EU) 2019/947 and categories3.5Royal Decree 517/2024 and requirements in Spain3.6Operational safety and SORA risk analysis3.7Compulsory insurance for drone operators3.8Data protection in aerial capture3.9Weather and airspace limitations3.10Practice: flight plan for a roof damage claim
4.1Principles of photogrammetry and image overlap4.2Structure from Motion (SfM)4.3Point clouds and 3D meshes4.4Orthomosaics and digital surface models4.5Software: Pix4D, Metashape and ODM4.6Measurement of damaged areas and volumes4.7Accuracy, control points and RTK4.8Thermography applied to damp and fire damage4.9LiDAR mounted on drones4.10Laboratory: 3D model of a damaged roof
5.1Household and community claims5.2Water, wind and hail damage5.3Industrial fires and valuation of remains5.4Floods and the Insurance Compensation Consortium5.5Agricultural claims and crop damage5.6Mass assessment following catastrophic events5.7Satellite imagery as expert support5.8AI-driven prioritisation of claim files5.9Coordination of teams in large-scale events5.10Case study: loss adjustment after a DANA (flash flood event)
6.1Data extraction with OCR and NLP6.2Automatic cost estimation6.3Integration with vehicle valuation systems6.4Business rules and straight-through workflows6.5Detection of fraud indicators in images6.6Detection of manipulated or reused images6.7Deploying models in the cloud and on mobile6.8Human oversight and review thresholds6.9Logging and traceability of decisions6.10Workshop: automated workflow for a glass claim
7.1Regulation (EU) 2024/1689 on Artificial Intelligence7.2Model explainability for the insured7.3GDPR and processing of images of people7.4Loss adjuster's liability for AI-assisted decisions7.5Validation and auditing of loss adjustment models7.6Change management across networks of loss adjusters7.7Service quality and customer experience7.8Cost and cycle time indicators7.9Return on investment in digital loss adjustment7.10Case study: impact assessment of an AI system
8.1Selection of the type of claim8.2Design of the drone capture protocol8.3Building the image dataset8.4Training the damage model8.5Generation of the 3D model and measurements8.6Integration into the expert report8.7Validation against conventional loss adjustment8.8Cost-benefit analysis8.9Dissertation and presentation8.10Final review with the tutor
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, DJI Terra, CloudCompare, Python (OpenCV, PyTorch), in free, academic or evaluation versions. Trials are studied using real inspection flight procedures for damaged roofs and façades, 3D photogrammetric reconstruction of damage, and automatic classification of damage in images. Assessment is continuous, module by module, plus the final integrating project.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Compare traditional and digital loss adjustment methods.
Apply computer vision techniques to identify and quantify damage.
Plan drone operations in line with European UAS regulations.
Generate 3D models and orthophotos through photogrammetry for damage measurement.
Organise mass loss adjustment following catastrophic events.
Where this takes you
Requirements
- Prior technical training or professional experience in the sector. A university degree is not 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.
Frequently asked questions
The programme totals 800 hours 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 Pix4Dmapper, Agisoft Metashape, DJI Terra, CloudCompare, Python (OpenCV, PyTorch). Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.
An SEIUM own diploma upon passing the continuous assessment and the integrating project. This is in-house training, 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. Check the recognition policy when enrolling.
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