Demand forecasting course at UAM
Online course of 300 hours in UAM demand forecasting: 6 modules covering transport demand and UAM, data for forecasting, discrete choice models, spatial models and simulation, and machine learning and validation, with an assigned technical tutor.
Demand forecasting course at UAM — studying from Ireland
Ireland's aerospace sector is concentrated in Shannon, Limerick and the Dublin region, with a strong base of maintenance, repair and overhaul, avionics, aerostructures and engine component manufacturing. Multinational suppliers and specialist SMEs serve global airframe and engine programmes, while the Irish Aviation Authority and the European Union Aviation Safety Agency shape certification and airworthiness requirements. Growing interest in drones, urban air mobility and space-related research is supported by university spin-outs and national research centres. Engineers here work on design assurance, systems integration, maintenance planning and compliance across the aviation value chain.
Fees for Ireland: €743 (Euro), with instalments and employer sponsorship available.
Relevant bodies in Ireland
Typical roles
Questions from Ireland
Will a SEIUM qualification be recognised by professional bodies in Ireland for aerospace work?
SEIUM's qualifications are private, not state-awarded, and are not accredited by any national body. Engineers Ireland is the main professional body for engineers in Ireland and sets its own membership criteria, so recognition is decided by them, not by SEIUM. Aviation safety oversight sits with the Irish Aviation Authority. Check directly with these bodies before relying on any credential for licensing or chartership.
Do Irish aerospace and drone employers value private online engineering qualifications?
Hiring in Ireland's aerospace and drone sector is generally driven by demonstrable skills, relevant experience and, for many roles, recognised degrees. A private qualification may support a CV, particularly alongside practical experience, but its weight is decided by each employer. We cannot promise any outcome. Speaking to prospective employers about how they view SEIUM's programmes is the most reliable way to judge.
Can I study this programme alongside a full-time job in Ireland?
The programme is 100% online and taught in English, so there is no travel and no student visa is needed to study from home. Master's programmes total 1,900 hours, postgraduate diplomas 800 hours and specialist courses 300 hours, so plan your weekly time accordingly. You will have an assigned technical tutor, and fees can be paid in instalments. Some employers offer funding, which you should ask about directly.
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
Understand the factors that drive UAM demand.
Collect and process mobility data for forecasting.
Estimate discrete choice models that include UAM.
Apply spatial models and agent-based simulation.
Use machine learning in demand forecasting.
Quantify and communicate forecast uncertainty.
Produce a demand study for a UAM network.
Who it's for
- Transport demand analysts.
- Mobility data scientists.
- Transport planners assessing new air services.
- Air mobility consultants.
- Transport economists.
- Market analysts covering the UAM sector.
- Engineering or science graduates seeking to enter urban air mobility.
What you'll work with
- Regulation (EU) 2016/679 (GDPR) (personal data protection)
- Directive (EU) 2019/1024 (open data and re-use of public sector information)
- Implementing Regulation (EU) 2021/664 (regulatory framework for U-space)
- Regulation (EU) 2024/1679 (TEN-T) (trans-European transport network)
- ISO 37120 (indicators for sustainable cities)
- Directive 2010/40/EU (intelligent transport systems)
- Python with scikit-learn
- Biogeme
- MATSim
- PTV Visum
- QGIS
6 modules
1.1Supply and demand concepts1.2Latent and induced demand1.3UAM demand segments1.4Published demand studies1.5Value of time1.6Acceptance factors1.7Scales of analysis1.8Uncertainty in forecasts1.9Demand for airport connections1.10Practical exercise: critical review of a demand study
2.1Household travel surveys2.2Mobile phone data2.3Taxi and ride-hailing data2.4Airport data2.5Socio-economic and census data2.6Open data and public portals2.7Data cleaning and merging2.8Personal data protection2.9Data quality and bias2.10Workshop: origin-destination matrix from open data
3.1Random utility theory3.2Multinomial logit model3.3Nested logit model3.4Stated preference surveys3.5Design of choice experiments3.6Estimation with Biogeme3.7Willingness to pay3.8Price and time elasticities3.9Preference heterogeneity3.10Lab: estimation of a mode choice logit model
4.1Four-stage model4.2Trip generation and distribution4.3Assignment of trips to vertiports4.4Accessibility to vertiports4.5Agent-based simulation with MATSim4.6GIS catchment analysis4.7Price and time scenarios4.8Adoption ramps4.9Catchment areas by access time4.10Case study: potential demand of a vertiport network
5.1Regression and time-series models5.2Gradient boosting for demand5.3Spatio-temporal trip prediction5.4Validation and error metrics5.5Sensitivity analysis5.6Forecast scenarios and ranges5.7Communicating uncertainty5.8Using forecasts in decision-making5.9Neural network models5.10Practical exercise: demand model with scikit-learn
6.1Definition of the study area6.2Data collection6.3Choice model6.4Spatial distribution model6.5Adoption scenarios6.6Forecast validation6.7Forecast report6.8Forecast sensitivity analysis6.9Report and presentation6.10Final project: final review with the tutor
How you'll learn
Training is 100% online 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 each intake, so you can combine the programme with your job.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is Python with scikit-learn, Biogeme, MATSim, PTV Visum and QGIS, in free, academic or evaluation versions. Exercises are based on real procedures for estimating mode choice models, vertiport catchment analysis and forecasting adoption scenarios. Assessment is continuous by module plus the final project.
Standards covered: Regulation (EU) 2016/679 (GDPR), Directive (EU) 2019/1024, Implementing Regulation (EU) 2021/664, Regulation (EU) 2024/1679 (TEN-T), ISO 37120, Directive 2010/40/EU.
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
- No prior qualification is required.
- 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.
Frequently asked questions
The programme totals 300 hours over 3 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.
You work with Python with scikit-learn, Biogeme, MATSim, PTV Visum and QGIS, using free, academic or evaluation versions. Your tutor indicates the free alternative wherever one exists.
A SEIUM Institute certificate, awarded on passing the continuous assessment and the final project. 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 are recognised in a higher programme in the same area (postgraduate diploma or master's). Ask about the recognition policy when you enrol.
No prior qualification is required; you need a computer able to run the programme's 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.
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