Postgraduate DiplomaAerospace, UAM, Drones & Space Applications open

Diploma in Air Traffic Sequencing and Optimization

Online postgraduate diploma of 800 hours in air traffic sequencing and optimisation: 8 modules covering ATM and capacity, arrival and departure sequencing, optimisation models, trajectories and flight efficiency, AI and simulation, and implementation, with an assigned technical tutor.

Duration800 hours · 6–8 months
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma

Diploma in Air Traffic Sequencing and Optimization — studying from Canada

Canada has a substantial aerospace sector, anchored in Montréal and Québec City, with major manufacturers and suppliers such as Bombardier, Pratt & Whitney Canada and CAE. Ontario's Greater Toronto and Ottawa regions host avionics, satellite and space technology firms, while the Canadian Space Agency coordinates national space programmes, including robotics for the International Space Station. Urban air mobility and drone operations are emerging under Transport Canada's regulatory framework. Engineers in this area typically work on airframe design, systems integration, certification and space mission support.

Fees for Canada: C$1,700 (Canadian dollar), with instalments and employer sponsorship available.

Relevant bodies in Canada

  • Transport Canada
  • Canadian Space Agency
  • Canadian Aviation Regulations (Transport Canada)
  • Aerospace Industries Association of Canada

Typical roles

  • Aerospace Engineer
  • Avionics Engineer
  • Certification Engineer
  • Drone Systems Engineer

Questions from Canada

Does a SEIUM qualification give me recognition with Canadian professional bodies for aerospace work?

Not automatically. In Canada, engineering is regulated by provincial and territorial associations such as Professional Engineers Ontario, which licence Professional Engineers (P.Eng.). SEIUM qualifications are private and are not official state degrees, so they do not confer P.Eng. status or accreditation. Recognition by employers or other bodies is decided case by case, so check directly with them before enrolling.

Will Canadian aerospace, drone or space employers value this training?

Employer valuation depends on the specific employer and role. Canada has a sizeable aerospace sector, including companies in Quebec, Ontario and Western Canada, and employers generally judge candidates on demonstrated skills, projects and experience. SEIUM's final project can serve as evidence of capability, but whether a private qualification carries weight is for each employer to decide. Discuss your goals with prospective employers.

Can I study this alongside a full-time job in Canada, and what about language?

Yes, the programmes are 100% online, so you can study from home at your own pace around work. Master's programmes are 1,900 hours, postgraduate diplomas 800 hours and specialist courses 300 hours, so plan your weekly time accordingly. Teaching is in English, and each student has an assigned technical tutor. Employer sponsorship and fees payable in instalments may help, depending on your circumstances.

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Learning outcomes

What you will be able to do

01

Understand air traffic flow and capacity management.

02

Apply arrival sequencing techniques.

03

Optimise departure sequences with A-CDM.

04

Formulate mathematical models for traffic optimisation.

05

Assess the efficiency of flight trajectories.

06

Use artificial intelligence and simulation in ATM problems.

07

Evaluate the implementation of sequencing tools.

Profile

Who it's for

  • Air traffic management engineers.
  • ATM performance analysts tracking delay and efficiency.
  • Optimisation specialists applying operations research to aviation.
  • Air traffic controllers working with AMAN and DMAN.
  • Aviation data scientists.
  • Air navigation consultants.
  • Engineering or science graduates looking to work for air navigation service providers.
Standards & tools

What you'll work with

  • Implementing Regulation (EU) 2019/317 (SES performance and charging scheme)
  • Implementing Regulation (EU) 2021/116 (Common Project One, including AMAN and DMAN)
  • Regulation (EU) 255/2010 (air traffic flow management rules)
  • ICAO Doc 4444 (PANS-ATM, air traffic management procedures)
  • ICAO Doc 9971 (Manual on Collaborative Air Traffic Flow Management)
  • EUROCONTROL RECAT-EU (European wake turbulence re-categorisation)
  • Regulation (EU) 2018/1139 (EASA Basic Regulation)
  • Gurobi
  • Python (PuLP/OR-Tools)
  • BADA
  • AirTOp
  • MATLAB
Syllabus

8 modules

  1. 1.1Structure of European airspace
  2. 1.2ATFCM flow management
  3. 1.3The EUROCONTROL Network Manager
  4. 1.4Regulation measures and slots
  5. 1.5Sector capacity and workload
  6. 1.6Delays and their causes
  7. 1.7Key performance indicators (KPIs)
  8. 1.8Single European Sky performance plan
  9. 1.9Dynamic airspace management
  10. 1.10Workshop: delay analysis with network data
  1. 2.1Arrival managers (AMAN)
  2. 2.2Extended AMAN horizon
  3. 2.3Wake separations and RECAT-EU
  4. 2.4Time-based separation (TBS)
  5. 2.5Holding and vectoring
  6. 2.6Continuous descent arrivals
  7. 2.7Point Merge and holding structures
  8. 2.8Runway allocation
  9. 2.9Interaction with controllers
  10. 2.10Practical: arrival sequence with wake separation
  1. 3.1Departure managers (DMAN)
  2. 3.2A-CDM and target times
  3. 3.3Target start-up approval time
  4. 3.4Optimisation of the take-off sequence
  5. 3.5Departure intervals and SID routes
  6. 3.6De-icing management for departures
  7. 3.7Arrival-departure coordination on mixed-mode runways
  8. 3.8A-SMGCS surface management
  9. 3.9Network constraints and CTOT
  10. 3.10Lab: departure sequencing with A-CDM
  1. 4.1Integer linear programming
  2. 4.2The aircraft sequencing problem
  3. 4.3Formulations with time windows
  4. 4.4Heuristics and metaheuristics
  5. 4.5Genetic algorithms and tabu search
  6. 4.6Multi-objective optimisation of delay and fuel
  7. 4.7Constraint programming
  8. 4.8Robust optimisation under uncertainty
  9. 4.9Commercial and open-source solvers
  10. 4.10Practical: MILP model of a landing sequence
  1. 5.14D trajectories and TBO
  2. 5.2Trajectory prediction
  3. 5.3Free route in upper airspace
  4. 5.4Horizontal and vertical efficiency
  5. 5.5Fuel consumption and emissions
  6. 5.6BADA performance models
  7. 5.7Controlled time of arrival
  8. 5.8Cruise speeds and delay absorption
  9. 5.9Trajectory sharing via ADS-C EPP
  10. 5.10Lab: fuel consumption calculation with BADA models
  1. 6.1Machine learning for delay prediction
  2. 6.2Taxi time prediction
  3. 6.3Reinforcement learning in sequencing
  4. 6.4Fast-time airspace simulation
  5. 6.5Real-time simulation with controllers
  6. 6.6Validation of new concepts
  7. 6.7Explainability of ATM algorithms
  8. 6.8Flight data and open sources
  9. 6.9Certification of AI-based systems
  10. 6.10Case study: taxi time prediction model
  1. 7.1Deployment of AMAN and DMAN
  2. 7.2SESAR sequencing projects
  3. 7.3Assessment of operational benefits
  4. 7.4Profitability for airlines and airports
  5. 7.5Safety of the functional change
  6. 7.6Human factors and acceptance
  7. 7.7Punctuality and predictability metrics
  8. 7.8Lessons from major airports
  9. 7.9ATM Master Plan roadmap
  10. 7.10Case study: evaluation of an extended AMAN
  1. 8.1Selection of the study scenario
  2. 8.2Traffic data analysis
  3. 8.3Formulation of the optimisation problem
  4. 8.4Implementation of the algorithm
  5. 8.5Scenario simulation
  6. 8.6Benefit assessment
  7. 8.7Sensitivity analysis
  8. 8.8Implementation proposal
  9. 8.9Report and presentation
  10. 8.10Final 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 the intake, so it fits around your job.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is Gurobi, Python (PuLP/OR-Tools), BADA, AirTOp and MATLAB, in free, academic or evaluation versions. Testing is studied through real procedures: optimisation of landing and take-off sequences, simulation of terminal area traffic scenarios and analysis of delays and punctuality with real data. Assessment is continuous by module, plus the final project.

Standards covered: Implementing Regulation (EU) 2019/317, Implementing Regulation (EU) 2021/116 (CP1), Regulation (EU) 255/2010 (ATFM), ICAO Doc 4444 (PANS-ATM), ICAO Doc 9971 (Manual on Collaborative Air Traffic Flow Management), EUROCONTROL RECAT-EU, Regulation (EU) 2018/1139.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of Implementing Regulations (EU) 2019/317 and 2021/116 and Regulation (EU) 255/2010 applied to real cases, not as a theoretical annex.
Industry software:Gurobi, Python (PuLP/OR-Tools), BADA, AirTOp and MATLAB, in free, academic or evaluation versions.
Final project:A traffic optimisation study for a real scenario, from data analysis and problem formulation to algorithm, simulation and implementation proposal, 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.

Traffic data analysis
Analyse delays and demand for the selected scenario using network data.
Optimisation formulation
Formulate a MILP model of the arrival or departure sequence.
Algorithm implementation
Implement and solve the model with Gurobi or OR-Tools.
Scenario simulation
Simulate scenarios and assess benefits in delay and fuel with BADA.
Final project
Deliver a complete traffic optimisation project with implementation proposal, reviewed by your tutor.
Career opportunities

Where this takes you

Air traffic management engineerATM performance analystOptimisation specialistAir traffic controllerAviation data scientistAir navigation consultant
Admissions & scholarships

Requirements

  • Prior technical training or professional experience in the sector. No university degree is required.
  • Internet connection and a computer able to run 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 800 hours over 6–8 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.

You work with Gurobi, Python (PuLP/OR-Tools), BADA, AirTOp and MATLAB, 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 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.

Prior technical training or professional experience in the sector (no university degree required), 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.

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