Apply now
Master'sInsurance, Risk & Actuarial Data Applications open

Master’s in Pricing and Revenue Management for Mobility Insurers Engineering

Online master's programme of 1,900 hours in pricing and revenue management engineering for mobility insurers, structured in 12 modules covering demand models, competitor analysis, price optimisation, renewal pricing and fairness, channels, experimentation, new mobility risks, pricing platforms and model governance, with an assigned technical tutor.

Duration1900 h
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma
Enrol now View syllabus Ask an advisor
Virtual lab · try it before you enrol

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.

SIM · LIVE ●
Learning outcomes

What you will be able to do

01

Integrate technical pricing and revenue management.

02

Model customer conversion and retention.

03

Analyse competitive price positioning.

04

Optimise prices within regulatory and business constraints.

05

Apply fairness criteria at renewal.

06

Measure the impact of prices through experimentation.

07

Govern pricing models in line with regulation.

Profile

Who it's for

  • Pricing managers.
  • Revenue management analysts.
  • Pricing actuaries.
  • Demand data scientists.
  • Market intelligence managers.
  • Model validators.
  • Engineering or science graduates seeking to enter the insurance sector.
Standards & tools

What you'll work with

  • Directive 2009/138/EC (Solvency II) (EU prudential regime for insurers)
  • Directive (EU) 2016/97 (insurance distribution)
  • Delegated Regulation (EU) 2017/2358 (product oversight and governance)
  • Directive 2004/113/EC (equal treatment in access to goods and services)
  • Regulation (EU) 2024/1689 (artificial intelligence)
  • Regulation (EU) 2016/679 (data protection)
  • Law 15/2007 on the Defence of Competition (Spanish competition law)
  • R
  • Python with scikit-learn
  • Earnix
  • WTW Radar
Syllabus

12 modules · 1900 h

  1. 1.1From technical pricing to revenue management
  2. 1.2Particularities of insurance compared with other sectors
  3. 1.3Policyholder life cycle
  4. 1.4New business and renewal
  5. 1.5Customer lifetime value
  6. 1.6Organisation of the pricing function
  7. 1.7Interaction with underwriting and distribution
  8. 1.8Revenue management indicators
  9. 1.9Insurer maturity
  10. 1.10Case study: pricing diagnosis of a motor insurer
  1. 2.1Price elasticity of demand
  2. 2.2New business conversion models
  3. 2.3Renewal retention models
  4. 2.4Applied logistic regression
  5. 2.5Machine learning demand models
  6. 2.6Market and competition variables
  7. 2.7The effect of price comparison sites
  8. 2.8Validation of demand models
  9. 2.9Biases in observational data
  10. 2.10Laboratory: retention model in R
  1. 3.1Market price intelligence
  2. 3.2Price comparison site data
  3. 3.3Competitive positioning by segment
  4. 3.4Competitor price models
  5. 3.5Competitor reaction
  6. 3.6Segments with competitive advantage
  7. 3.7Continuous market monitoring
  8. 3.8Legal limits on information exchange
  9. 3.9Ethical use of market data
  10. 3.10Practical exercise: price positioning map
  1. 4.1Formulating the optimisation problem
  2. 4.2Objective function and constraints
  3. 4.3Profit and volume optimisation
  4. 4.4Efficient pricing frontier
  5. 4.5Price change constraints
  6. 4.6Optimisation by segment
  7. 4.7Optimisation algorithms
  8. 4.8Robustness of the solution
  9. 4.9Implementation in systems
  10. 4.10Laboratory: profit and volume efficient frontier
  1. 5.1Differentiation practices at renewal
  2. 5.2European supervision of price walking
  3. 5.3Regulatory measures in the United Kingdom
  4. 5.4Fair treatment of customers
  5. 5.5Product value for the customer
  6. 5.6Renewal communication
  7. 5.7Retention management
  8. 5.8Fairness indicators
  9. 5.9Governance of pricing decisions
  10. 5.10Case study: fairness review of a renewal policy
  1. 6.1Pricing in direct and digital channels
  2. 6.2Pricing in the broker channel
  3. 6.3Pricing in bancassurance
  4. 6.4Pricing in embedded channels
  5. 6.5Dynamic demand-based adjustments
  6. 6.6Commissions and their effect on price
  7. 6.7Managing channel conflicts
  8. 6.8Price consistency
  9. 6.9Regulation of remuneration
  10. 6.10Practical exercise: pricing strategy by channel
  1. 7.1A/B price testing
  2. 7.2Experiment design
  3. 7.3Sample size
  4. 7.4Causal inference methods
  5. 7.5Difference-in-differences methods
  6. 7.6Measuring incremental impact
  7. 7.7Ethics of experimentation
  8. 7.8Interpreting results
  9. 7.9Rolling out winners
  10. 7.10Laboratory: analysis of an A/B price test
  1. 8.1Pricing for fleets and leasing
  2. 8.2Pricing for electric vehicles
  3. 8.3Repair costs of new technologies
  4. 8.4Pricing with telematics data
  5. 8.5Pricing for shared mobility
  6. 8.6Pricing on-demand products
  7. 8.7Evolution of road accident rates
  8. 8.8Emerging risks in mobility
  9. 8.9Future market scenarios
  10. 8.10Case study: pricing an electric vehicle portfolio
  1. 9.1Pricing data architecture
  2. 9.2Commercial rating platforms
  3. 9.3Real-time rules engines
  4. 9.4Quotation via API
  5. 9.5Monitoring prices in production
  6. 9.6Data quality
  7. 9.7Report automation
  8. 9.8Cybersecurity of the pricing engine
  9. 9.9Managing technological change
  10. 9.10Practical exercise: deploying a tariff in a rules engine
  1. 10.1Model governance framework
  2. 10.2Independent model validation
  3. 10.3Model documentation
  4. 10.4Model risk
  5. 10.5Artificial intelligence and supervision
  6. 10.6Price explainability
  7. 10.7Prohibited discrimination and sensitive factors
  8. 10.8Internal audit of pricing
  9. 10.9Board reporting
  10. 10.10Case study: validation report for a demand model
  1. 11.1Profitable growth strategy
  2. 11.2Alignment with company strategy
  3. 11.3Pricing and analytics teams
  4. 11.4Skills the team needs
  5. 11.5Pricing decision processes
  6. 11.6Pricing committees
  7. 11.7Communication with the sales network
  8. 11.8Change management
  9. 11.9Continuous process improvement
  10. 11.10Practical exercise: designing a pricing committee
  1. 12.1Selection of product and portfolio
  2. 12.2Technical premium model
  3. 12.3Demand model
  4. 12.4Competitor analysis
  5. 12.5Price optimisation
  6. 12.6Fairness analysis
  7. 12.7Implementation plan
  8. 12.8Estimated economic impact
  9. 12.9Thesis report
  10. 12.10Master's Thesis: defence before a panel
Methodology, software & labs

How you'll learn

100% online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. There are no fixed timetables: you progress at your own pace within the intake, so the programme can be combined with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is R, Python with scikit-learn, Earnix and WTW Radar, in free, academic or evaluation versions. Testing is studied through real procedures for conversion and retention models, constrained price optimisation and A/B price testing. Assessment is continuous by module, plus the final Master's Thesis.

Standards covered: Directive 2009/138/EC (Solvency II), Directive (EU) 2016/97, Delegated Regulation (EU) 2017/2358, Directive 2004/113/EC, Regulation (EU) 2024/1689, Regulation (EU) 2016/679, Law 15/2007 on the Defence of Competition.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of Solvency II, Directive (EU) 2016/97 and Delegated Regulation (EU) 2017/2358 applied to real cases, not as a theoretical annex.
Industry software:R, Python with scikit-learn, Earnix and WTW Radar, in free, academic or evaluation versions.
Master's Thesis with defence:a complete pricing strategy for a real product and portfolio, combining technical premium, demand and competitor models, optimisation, fairness analysis and implementation plan, defended before a panel.
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.

Pricing diagnosis
Diagnose the pricing function of a motor insurer and its portfolio.
Demand and competition models
Build a retention model in R and map competitive price positioning.
Optimisation and fairness
Compute a profit-volume efficient frontier and review the fairness of a renewal policy.
Testing and governance
Analyse an A/B price test and prepare a validation report for a demand model.
Master's Thesis
Design and cost a complete pricing strategy for a real portfolio, defended before a panel.
Career opportunities

Where this takes you

Pricing managerRevenue management analystPricing actuaryDemand data scientistMarket intelligence managerModel validator
Admissions & scholarships

Requirements

  • University degree in engineering, science or architecture, or equivalent demonstrable professional experience.
  • Internet connection and a computer capable of running the programme's 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.

Apply now Scholarships
FAQ

Frequently asked questions

The programme totals 1,900 hours over 12–14 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.

You work with R, Python with scikit-learn, Earnix and WTW Radar, 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 Master's Thesis. 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 in a course or postgraduate diploma in the same area are recognised in the higher programme. Ask about the recognition policy when you enrol.

A university degree in engineering, science or architecture (or equivalent professional experience), a computer able to run the 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.

Keep exploring

Related programmes

See all in Insurance, Risk & Actuarial Data
Master's8,850 $

Master’s in Marine and Cargo Insurance Engineering (Hull & Cargo)

Online master's programme of 1,900 hours in Marine and Cargo Insurance Engineering (Hull & Cargo). 12 modules covering ship technical risk, maritime law, hull and machinery,…

1900 hOnlineInsurance, Risk & Actuarial Data
Master's8,850 $

Master’s in Risk Management in Ports, Rail and Airports Engineering

Online master's programme of 1,900 hours in Risk Management Engineering for Ports, Railways and Airports. 12 modules covering critical transport infrastructure, enterprise risk management, port, rail…

1900 hOnlineInsurance, Risk & Actuarial Data
Master's8,850 $

Master’s in Catastrophe Modelling and Infrastructure Resilience Engineering (Cat Modelling)

Online master's programme of 1,900 hours in Catastrophe Modelling and Infrastructure Resilience Engineering (Cat Modelling), structured in 12 modules covering cat model architecture, seismic, wind and…

1900 hOnlineInsurance, Risk & Actuarial Data
Master’s in Pricing and Revenue Management for Mobility Insurers EngineeringEnrol
Related programmes

More in Insurance, Risk & Actuarial Data

Master’s in Solvency, Capital and Reporting Engineering (Solvency II / IFRS 17 / RBC)View programme →Master’s in Claims Management and Claims Analytics Engineering (SIU/Anti-Fraud)View programme →Master’s in Technical Auditing of Repair Networks and Digital Loss Assessment EngineeringView programme →Master’s in Health and Performance Actuarial Engineering for Athletes and Driver FleetsView programme →Master’s in Operations & Claims EngineeringView programme →Master’s in Logistics and Freight Forwarding Chain Risk Management EngineeringView programme →

All Insurance, Risk & Actuarial Data programmes → · How to apply · Fees & financing · Scholarships

Scroll to Top
SEIUM – Institute of Advanced Engineering
Powered by  GDPR Cookie Compliance
Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.