CourseAerospace, UAM, Drones & Space Applications open

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.

Duration3 months
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute certificate

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

  • Irish Aviation Authority (IAA)
  • European Union Aviation Safety Agency (EASA)
  • Aerospace Industry Ireland (AII)
  • Science Foundation Ireland (SFI)

Typical roles

  • Aerospace Engineer
  • Avionics Engineer
  • Airworthiness Engineer
  • Drone Systems Engineer

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.

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Learning outcomes

What you will be able to do

01

Understand the factors that drive UAM demand.

02

Collect and process mobility data for forecasting.

03

Estimate discrete choice models that include UAM.

04

Apply spatial models and agent-based simulation.

05

Use machine learning in demand forecasting.

06

Quantify and communicate forecast uncertainty.

07

Produce a demand study for a UAM network.

Profile

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.
Standards & tools

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
Syllabus

6 modules

  1. 1.1Supply and demand concepts
  2. 1.2Latent and induced demand
  3. 1.3UAM demand segments
  4. 1.4Published demand studies
  5. 1.5Value of time
  6. 1.6Acceptance factors
  7. 1.7Scales of analysis
  8. 1.8Uncertainty in forecasts
  9. 1.9Demand for airport connections
  10. 1.10Practical exercise: critical review of a demand study
  1. 2.1Household travel surveys
  2. 2.2Mobile phone data
  3. 2.3Taxi and ride-hailing data
  4. 2.4Airport data
  5. 2.5Socio-economic and census data
  6. 2.6Open data and public portals
  7. 2.7Data cleaning and merging
  8. 2.8Personal data protection
  9. 2.9Data quality and bias
  10. 2.10Workshop: origin-destination matrix from open data
  1. 3.1Random utility theory
  2. 3.2Multinomial logit model
  3. 3.3Nested logit model
  4. 3.4Stated preference surveys
  5. 3.5Design of choice experiments
  6. 3.6Estimation with Biogeme
  7. 3.7Willingness to pay
  8. 3.8Price and time elasticities
  9. 3.9Preference heterogeneity
  10. 3.10Lab: estimation of a mode choice logit model
  1. 4.1Four-stage model
  2. 4.2Trip generation and distribution
  3. 4.3Assignment of trips to vertiports
  4. 4.4Accessibility to vertiports
  5. 4.5Agent-based simulation with MATSim
  6. 4.6GIS catchment analysis
  7. 4.7Price and time scenarios
  8. 4.8Adoption ramps
  9. 4.9Catchment areas by access time
  10. 4.10Case study: potential demand of a vertiport network
  1. 5.1Regression and time-series models
  2. 5.2Gradient boosting for demand
  3. 5.3Spatio-temporal trip prediction
  4. 5.4Validation and error metrics
  5. 5.5Sensitivity analysis
  6. 5.6Forecast scenarios and ranges
  7. 5.7Communicating uncertainty
  8. 5.8Using forecasts in decision-making
  9. 5.9Neural network models
  10. 5.10Practical exercise: demand model with scikit-learn
  1. 6.1Definition of the study area
  2. 6.2Data collection
  3. 6.3Choice model
  4. 6.4Spatial distribution model
  5. 6.5Adoption scenarios
  6. 6.6Forecast validation
  7. 6.7Forecast report
  8. 6.8Forecast sensitivity analysis
  9. 6.9Report and presentation
  10. 6.10Final project: final review with the tutor
Methodology, software & labs

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.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of Regulation (EU) 2016/679 (GDPR), Directive (EU) 2019/1024 and Implementing Regulation (EU) 2021/664 applied to real cases, not as a theoretical annex.
Industry software:Python with scikit-learn, Biogeme, MATSim, PTV Visum and QGIS, in free, academic or evaluation versions.
Final project:a demand study for a UAM network, with choice model, spatial distribution model, adoption scenarios and validated forecast, reviewed by your tutor.
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.

Define the study area
Delimit the study area and collect the mobility data.
Estimate the choice model
Estimate a discrete choice model including UAM.
Model spatial distribution
Build the spatial distribution model and adoption scenarios.
Validate the forecast
Validate the forecast and analyse its sensitivity.
Final project
Present the forecast report in a documented study, reviewed by your tutor.
Career opportunities

Where this takes you

Transport demand analystMobility data scientistTransport plannerAir mobility consultantTransport economistMarket analyst
Admissions & scholarships

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.

FAQ

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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