Master’s in Revenue Management and Pricing Engineering in Mobility
Online master's programme of 1,900 hours in revenue management and pricing engineering for mobility: 12 modules covering demand forecasting, inventory optimisation, dynamic pricing, shared mobility, public transport, road, parking and charging pricing, distribution, RM systems and regulation, with an assigned technical tutor.
Master’s in Revenue Management and Pricing Engineering in Mobility — studying from Ireland
Ireland's economy is strongly shaped by multinational technology, pharmaceutical and financial services firms, creating demand for professionals who combine technical understanding with management and policy skills. Dublin, Cork and Limerick host regional headquarters and shared service centres, and government agencies such as Enterprise Ireland and IDA Ireland support industrial development and innovation. Engineers and managers in this area work on programme management, technology strategy, digital transformation and regulatory compliance. Their work often connects engineering delivery with commercial, legal and public policy considerations.
Fees for Ireland: €7,920 (Euro), with instalments and employer sponsorship available.
Relevant bodies in Ireland
Typical roles
Questions from Ireland
Which Irish bodies recognise qualifications in engineering management and technology policy?
Engineers Ireland recognises engineering competence for professional registration, while management qualifications are often judged by bodies such as the Chartered Management Institute's Irish presence or by employers directly. SEIUM's qualifications are private and not state-awarded, and they are not accredited by any national body. Recognition is therefore decided by employers or the relevant body, and you should verify this before enrolling.
Do Irish organisations hire for technology policy and management roles with private online qualifications?
Irish public bodies, consultancies and technology firms hire for policy and management roles, and they typically prioritise experience, professional credentials and communication skills. A private online qualification may strengthen an application, but its weight depends entirely on the employer. We cannot guarantee any particular career result.
Can I manage this study with a demanding job, and does my employer have to pay?
The programme is 100% online and taught in English, so it fits around work if you plan your hours. Master's programmes total 1,900 hours, postgraduate diplomas 800 and specialist courses 300. You are assigned a technical tutor, and fees can be paid in instalments. Employer sponsorship is possible but not required; many Irish employers have training budgets, so ask your manager early.
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
Apply revenue management principles to mobility services.
Forecast demand while correcting for censoring and seasonality.
Optimise inventory with EMSR and network control.
Design dynamic pricing algorithms with controlled experimentation.
Evaluate public transport fare systems and their equity.
Set prices for charging, parking and road user charging.
Assess the regulatory and ethical risks of algorithmic pricing.
Who it's for
- Revenue management analysts in airlines, rail or shared mobility.
- Pricing managers looking to strengthen their quantitative toolkit.
- Demand data scientists working on forecasting and price optimisation.
- Public transport fare managers.
- Distribution and ancillaries analysts.
- Mobility pricing consultants.
- Engineering or science graduates aiming to move into the airline industry.
What you'll work with
- Regulation (EC) 1008/2008 (operation of air services and fare transparency)
- Regulation (EU) 2021/782 (rail passengers' rights and obligations)
- Regulation (EU) 2023/1804 (AFIR) (alternative fuels infrastructure)
- Directive (EU) 2022/362 (Eurovignette) (charging of vehicles for the use of road infrastructure)
- Directive 98/6/EC (consumer price indication)
- Regulation (EU) 2022/1925 (DMA) (Digital Markets Act)
- Directive 2005/29/EC (unfair commercial practices)
- Directive (EU) 2019/520 (EETS) (interoperability of electronic road toll systems)
- Python
- R
- Gurobi
- Microsoft Power BI
- PROS Pricing
12 modules · 1900 h
1.1Origins in aviation and expansion to other sectors1.2Fixed and perishable capacity as a precondition1.3Demand segmentation and fare fences1.4Revenue per seat-kilometre and key metrics1.5Fare structures and booking classes1.6Price elasticity of demand1.7Economics of transport networks1.8Revenue management in high-speed rail1.9Organisation of an RM department1.10Case study: fares of a liberalised rail operator
2.1Booking curves and booking lead time2.2Time-series forecasting2.3Censored demand and unconstraining2.4Discrete choice models2.5Machine-learning forecasting2.6Special events and seasonality2.7Cancellations and no-shows2.8Forecast error evaluation2.9Origin-destination forecasting2.10Lab: booking forecasting with Python
3.1Littlewood's rule for two classes3.2EMSR-a and EMSR-b algorithms3.3Nested protection levels3.4Origin-destination network control3.5Bid prices and value-based control3.6Deterministic linear programming3.7Overbooking models3.8Stochastic dynamic programming3.9Choice-based revenue management3.10Exercise: protection levels with EMSR-b
4.1Principles of dynamic pricing4.2Continuous pricing versus discrete classes4.3Demand response models4.4Constrained price optimisation4.5Price experimentation and A/B testing4.6Reinforcement learning in pricing4.7Multi-armed bandit algorithms4.8Perceived price fairness4.9Transparency and regulation of dynamic pricing4.10Lab: dynamic pricing for a bus service
5.1Per-minute, per-kilometre and subscription pricing5.2Dynamic fares in ride-hailing5.3Equilibrium in two-sided platforms5.4Carsharing pricing by zone and time of day5.5Rebalancing incentives5.6Loyalty passes and discounts5.7E-scooter and bike pricing5.8Elasticities by user segment5.9Cannibalisation of public transport5.10Case study: fare redesign for a moped-sharing operator
6.1Zonal and distance-based fare systems6.2Travel passes and integrated tickets6.3Social fares and equity6.4Public transport elasticity6.5Cost recovery and funding6.6Effects of fare-free transport6.7Account-based ticketing and price capping6.8Revenue clearing houses6.9Evaluation of fare reforms6.10Exercise: impact of a metropolitan fare reform
7.1Tolls and congestion charging7.2Experience from London, Stockholm and Singapore7.3Eurovignette Directive and CO2-based tolls7.4Occupancy-based parking pricing7.5Road user charging7.6Electronic tolling and the European Electronic Toll Service (EETS)7.7Social acceptability of road pricing7.8Use of revenues and redistribution7.9Modelling traffic effects7.10Workshop: dynamic parking pricing
8.1Charging price structures8.2Pricing per kWh, per unit of time and per session8.3Idle fees and penalties8.4Price transparency under AFIR8.5Energy cost and network access charges8.6Fleet charging8.7Charging subscriptions and roaming8.8Prices linked to the electricity market8.9Profitability of charge points8.10Case study: pricing of a fast-charging network
9.1Direct and intermediated channels9.2Air distribution: GDS and IATA NDC9.3ONE Order offer and order model9.4Commissions and distribution cost9.5Ancillary sales9.6Bundling and combined pricing9.7MaaS aggregators and marketplaces9.8Offer personalisation9.9Price parity and regulation9.10Exercise: airline ancillary sales
10.1Architecture of revenue management systems10.2Booking data and its quality10.3Competitor price monitoring10.4Revenue dashboards10.5Performance against optimal revenue10.6Analyst control of the systems10.7Integration with reservation systems10.8Generative artificial intelligence in pricing10.9Model governance and explainability10.10Lab: revenue dashboard in Power BI
11.1Algorithmic collusion and competition law11.2Passenger rights and pricing11.3Price discrimination and consumers11.4Price Indication Directive11.5Transparency in personalised pricing11.6Public service obligations and fares11.7Rail liberalisation and network access11.8Digital Markets Act11.9Ethics of algorithmic pricing11.10Case study: competition risks of a pricing algorithm
12.1Selection of the operator or service12.2Demand and competition analysis12.3Proposed forecasting model12.4Fare structure design12.5Inventory or price optimisation12.6Simulation of the revenue impact12.7Regulation and social acceptability12.8Fare implementation timeline12.9Master's Thesis report12.10Master's Thesis: defence before a panel
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 is compatible with work.
Each module combines theory, guided reading of the original regulations and applied exercises. The working software is Python, R, Gurobi, Microsoft Power BI and PROS Pricing, in free, academic or evaluation versions. Exercises are built on real procedures: booking forecasting with historical data, optimisation of protection levels and simulation of a fare reform. Assessment is continuous by module, plus the final Master's Thesis.
Standards covered: Regulation (EC) 1008/2008, Regulation (EU) 2021/782, Regulation (EU) 2023/1804 (AFIR), Directive (EU) 2022/362 (Eurovignette), Directive 98/6/EC, Regulation (EU) 2022/1925 (DMA), Directive 2005/29/EC, Directive (EU) 2019/520 (EETS).
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Where this takes you
Requirements
- University degree in engineering, science or architecture, or equivalent demonstrable professional experience.
- Internet connection and a computer capable of running the programme 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.
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 Python, R, Gurobi, Microsoft Power BI and PROS Pricing, 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 suitable computer 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.
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