Postgraduate Diploma in Dynamic Pricing Based on Driving Data
800-hour online Postgraduate Diploma in Dynamic Pricing Based on Driving Data. 8 modules covering EDPB Guidelines 01/2020 on connected vehicles, Regulation (EU) 2016/679 (GDPR) and Python (pandas, GeoPandas). Assigned tutor and enrolment open.
Postgraduate Diploma in Dynamic Pricing Based on Driving Data — studying from the United Kingdom
Insurance and risk analysis are important sectors in the United Kingdom, with London's market, the City of London and Edinburgh's financial services hub employing large numbers of actuaries, risk analysts and data specialists. Engineering knowledge is increasingly valuable in assessing risk for vehicles, infrastructure, energy and emerging technologies. Insurers and reinsurers use modelling, catastrophe analysis and telematics data. Regulation by the Prudential Regulation Authority and the Financial Conduct Authority shapes professional practice in this area.
Fees for the United Kingdom: £746 (Pound sterling), with instalments and employer sponsorship available.
Relevant bodies in the United Kingdom
Typical roles
Questions from the United Kingdom
Which UK bodies relate to actuarial and risk qualifications, and does SEIUM's training count towards their exams?
In the UK, actuarial professional status is governed by the Institute and Faculty of Actuaries, which runs its own examinations and accreditation. SEIUM's training is not accredited by the IFoA or any national body, and it does not confer exemptions from those exams unless the IFoA itself decides so. Confirm exemption policies directly with the IFoA before enrolling.
Do UK insurers and risk firms hire people with private online engineering or data qualifications?
UK insurers and risk consultancies recruit on the basis of skills, experience and recognised credentials. A private qualification may support an application where it demonstrates applied data or risk modelling, but employers decide its value case by case. Practical project work often carries more weight, so present your final project clearly on your CV and in interviews.
How much study time is needed, and can I pay for it in instalments while working in the UK?
Programmes range from 300 hours for specialist courses to 1,900 hours for master's programmes, all delivered online in English. You are assigned a technical tutor for support. Fees are payable in instalments, and employer sponsorship is possible. Plan weekly study hours realistically, as the total hours are substantial for a part-time learner.
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
Distinguish the types of usage-based insurance and their fundamentals.
Process and clean driving data from devices and apps.
Build indicators and scores of driving behaviour.
Incorporate telematics variables into actuarial frequency and severity models.
Design dynamic pricing schemes and driving-based discounts.
Assess the regulatory, ethical and privacy implications of telematics pricing.
Plan the operation and value proposition of a telematics product.
Who it's for
- Telematics pricing actuary who wants to specialise in Dynamic Pricing Based on Driving Data.
- Driving data analyst who wants to specialise in Dynamic Pricing Based on Driving Data.
- UBI product manager who wants to specialise in Dynamic Pricing Based on Driving Data.
- Mobility data scientist who wants to specialise in Dynamic Pricing Based on Driving Data.
- Data protection specialist for connected vehicles who wants to specialise in Dynamic Pricing Based on Driving Data.
- Motor insurance consultant who wants to specialise in Dynamic Pricing Based on Driving Data.
- Engineering or science graduates looking to enter motor insurers.
What you'll work with
- EDPB Guidelines 01/2020 on connected vehicles
- Regulation (EU) 2016/679 (GDPR)
- Directive 2002/58/EC (privacy in electronic communications)
- Regulation (EU) 2023/2854 (Data Act)
- Directive 2004/113/EC (equal treatment in insurance)
- Directive (EU) 2016/97 (IDD)
- Law 50/1980 on Insurance Contracts
8 modules · 800 h
1.1Pay as you drive and pay how you drive1.2Evolution of the UBI market1.3Telematics and driving risk factors1.4Devices: black box, OBD, app and connected vehicle1.5Value proposition and favourable selection1.6Business models and partnerships1.7Customer acceptance and privacy1.8International experiences1.9Implementation challenges1.10Case study: comparison of UBI products on the market
2.1GPS, accelerometer and gyroscope signals2.2Sampling frequency and quality2.3Trip detection and transport mode2.4Events: braking, acceleration and cornering2.5Speed relative to the road speed limit2.6Mobile phone use while driving2.7Time of day, road type and weather2.8Map matching and cartographic data2.9Aggregation by driver and period2.10Laboratory: extracting events from trajectories
3.1Designing a driving score3.2Weighting of behaviours3.3Relationship between score and claims experience3.4Normalisation for exposure and context3.5Stability of the score over time3.6Explainability for the driver3.7Feedback and coaching3.8Gamification and behaviour change3.9Statistical validation of the score3.10Practical: building and validating a score
4.1Exposure in kilometres versus time4.2GLMs with telematics variables4.3Credibility models with telematics data4.4Machine learning on trip series4.5Neural networks on speed heatmaps4.6Combination with traditional variables4.7Limited data at the start of the policy4.8Validation with claims data4.9Selection and participation bias4.10Laboratory: frequency model with mileage
5.1Pay-per-kilometre pricing and monthly models5.2Premium adjustments at renewal and mid-term5.3Dynamic behaviour-based discounts5.4Price elasticity of demand5.5Price optimisation and constraints5.6Experimentation and A/B testing5.7Real-time pricing and APIs5.8Simulation of portfolio impact5.9Profitability and combined ratio5.10Workshop: pay-per-kilometre pricing engine
6.1GDPR and geolocation6.2Consent and data minimisation6.3Insurance Distribution Directive6.4Fairness and indirect discrimination6.5European AI Regulation and supervision6.6Price transparency for customers6.7Data Act and access to vehicle data6.8Cybersecurity of telematics data6.9Use of data in claims management6.10Case study: impact assessment of a UBI product
7.1Telematics data ingestion architecture7.2Telematics platform providers7.3Integration with policy systems7.4Accident reconstruction using data7.5Assistance and crash detection7.6Fraud prevention with telematics7.7Customer experience management7.8Operational and business indicators7.9Scalability and costs7.10Practical: dashboard for a telematics portfolio
8.1Product and segment definition8.2Preparing driving data8.3Building the score8.4Actuarial premium model8.5Designing dynamic pricing8.6Impact simulation8.7Regulatory and ethical analysis8.8Launch plan8.9Report and presentation8.10Final review with the tutor
How you'll learn
100 % online training on the SEIUM Institute campus, with downloadable material, recorded classes and an assigned technical tutor. No fixed timetable: students progress at their own pace within the intake, which allows them to combine it with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is Python (pandas, GeoPandas), R (CASdatasets, glm), Cambridge Mobile Telematics DriveWell, Apache Spark, Earnix, in free, academic or evaluation versions. The exercises draw on real procedures for building a driving score from GPS and accelerometer data, pay-as-you-drive and pay-how-you-drive pricing, and simulating the impact of dynamic discounts on the portfolio. Assessment is continuous, module 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.
Distinguish the types of usage-based insurance and their fundamentals.
Process and clean driving data from devices and apps.
Build indicators and scores of driving behaviour.
Incorporate telematics variables into actuarial frequency and severity models.
Design dynamic pricing schemes and driving-based discounts.
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.
- Spanish proficiency sufficient 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 full-time work.
You work with Python (pandas, GeoPandas), R (CASdatasets, glm), Cambridge Mobile Telematics DriveWell, Apache Spark, Earnix. Free, academic or evaluation versions are used, and the tutor indicates the open-source alternative where one exists.
A SEIUM Institute diploma awarded on passing continuous assessment and the 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 are recognised towards the higher programme. Check the recognition policy when you enrol.
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