Dynamic Pricing Course for Micromobility Insurance
Online 300-hour course in dynamic pricing for micromobility insurance. 6 modules covering Royal Decree 970/2020 (personal mobility vehicles), Directive (EU) 2021/2118 (motor vehicle insurance) and Earnix. Assigned tutor and open enrolment.
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
Differentiate dynamic pricing from price discrimination.
Select real-time signals relevant to risk.
Model risk per trip for e-scooters and bicycles.
Convert estimated risk into a fair and stable displayed price.
Design the technical architecture for real-time pricing.
Govern the model in line with AI and distribution regulations.
Develop a dynamic pricing system in a final project.
Who it's for
- Dynamic pricing analyst wishing to specialise in Dynamic pricing for micromobility insurance.
- Micromobility actuary wishing to specialise in Dynamic pricing for micromobility insurance.
- Real-time data engineer wishing to specialise in Dynamic pricing for micromobility insurance.
- Usage-based insurance product manager wishing to specialise in Dynamic pricing for micromobility insurance.
- Model governance lead wishing to specialise in Dynamic pricing for micromobility insurance.
- Data scientist wishing to specialise in Dynamic pricing for micromobility insurance.
- Engineering or science graduates looking to enter micromobility.
What you'll work with
- Royal Decree 970/2020 (personal mobility vehicles)
- Directive (EU) 2021/2118 (motor vehicle insurance)
- Regulation (EU) 2024/1689 (AI Act)
- EIOPA Supervisory Statement on Differential Pricing Practices (2023)
- Delegated Regulation (EU) 2017/2358 (product governance)
- Regulation (EU) 2016/679 (GDPR)
6 modules · 300 h
1.1Dynamic pricing versus personalised pricing1.2Which variables can change the price in real time1.3Micromobility: pay-per-minute hire and associated insurance1.4Pricing by trip, by zone and by time slot1.5Difference between service fare and insurance premium1.6Objectives: risk coverage, demand and behaviour1.7Regulatory limits on dynamic pricing in insurance1.8User expectations and perceived fairness1.9Experiences from other sectors and their lessons1.10Workshop: defining the scope of a dynamic scheme
2.1Hour, day and events calendar2.2Weather: rain, wind and temperature2.3Traffic status and area density2.4Road type available on the planned route2.5User history and recency of use2.6Vehicle and battery status2.7Origin and destination zones of the trip2.8Acceptable latency for price calculation2.9Reliability of each signal and fallback plan2.10Practice: selecting signals for a dynamic model
3.1Risk unit: the trip and its duration3.2Trip-level claim probability models3.3Expected severity conditioned on context3.4Separating user risk from environmental risk3.5Models with few observations per combination3.6Smoothing and grouping of conditions3.7Calibration and error control3.8Model updating and drift3.9Validation with real fleet data3.10Practice: estimating the risk of a specific trip
4.1Technical premium per trip and loadings4.2Technical floor and commercial ceiling4.3Business rules and variation limits4.4Transparency: what is explained to the user4.5Rounded price and legibility4.6Effect of price on usage decisions4.7Risk of penalising those with no alternative4.8Territorial equity and disadvantaged areas4.9Controlled price tests4.10Practice: designing the pricing function
5.1Online calculation architecture and response times5.2Variable store and precalculation5.3Edge rules and server-side calculation5.4Traceability of each price offered5.5Audit and claims logging5.6System monitoring and alerts5.7Service failure and contingency price5.8Infrastructure costs5.9Load testing at demand peaks5.10Practice: designing the technical calculation flow
6.1Regulatory framework for insurance pricing6.2Prohibition of discrimination and proxy variables6.3Pre-contractual information for micro-cover6.4Product governance and oversight6.5Data protection in real-time calculation6.6Model governance and owners6.7Audit of the pricing scheme6.8Monitoring and fairness indicators6.9Common errors in dynamic pricing6.10Final project: complete dynamic pricing scheme
How you'll learn
100% online training on the SEIUM campus, with downloadable material, recorded classes and assigned technical tutor. No fixed timetable: students progress at their own pace within the intake, which makes it possible to combine the course with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is Earnix, Python (scikit-learn), Apache Kafka, Redis, Grafana, in free, academic or evaluation versions. Case studies use real per-trip pricing procedures, price A/B tests, latency monitoring and model drift. Assessment is continuous per 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.
Differentiate dynamic pricing from price discrimination.
Select real-time signals relevant to risk.
Model risk per trip for e-scooters and bicycles.
Convert estimated risk into a fair and stable displayed price.
Design the technical architecture for real-time pricing.
Where this takes you
Requirements
- No prior degree required.
- Internet connection and a computer capable of running the programme's software.
- Sufficient Spanish to follow technical regulatory reading.
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 between 10 and 15 hours per week on average, compatible with a full-time job.
The course uses Earnix, Python (scikit-learn), Apache Kafka, Redis and Grafana. Free, academic or evaluation versions are used, and the tutor indicates the open-source alternative where one exists.
A SEIUM Institute diploma upon passing continuous assessment and the final integrative project. It is in-house training, not an official qualification from the Ministry.
Yes. Modules passed in a course or postgraduate diploma in the same area can be credited towards the advanced programme. Check the credit transfer policy when you enrol.
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