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Master'sAerospace, UAM, Drones & Space Applications open

Master’s in Digital ATM/ATC Engineering

Online master's programme of 1,900 hours in digital ATM/ATC engineering. 12 modules covering ATM system architecture, digital air-ground communications, modern surveillance, trajectory-based operations, SWIM, remote towers, controller automation, data and AI, and cybersecurity, working with Regulation (EU) 2017/373, Common Project One and EUROCONTROL NEST, with an assigned technical tutor.

Duration1900 h
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma
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Learning outcomes

What you will be able to do

01

Analyse the architecture of ATM systems and their interfaces.

02

Apply SESAR trajectory-based operations concepts.

03

Design digital surveillance and communications solutions.

04

Evaluate automation and controller decision-support tools.

05

Implement data analysis and machine learning models in ATM.

06

Manage cybersecurity and software assurance of ATM systems.

07

Plan the digital transition of an air navigation service provider.

Profile

Who it's for

  • ATM systems engineers moving into SESAR-era digital architectures.
  • Air navigation data analysts.
  • Remote tower engineers.
  • Air traffic control systems architects.
  • ATM cybersecurity engineers.
  • SESAR consultants.
  • Engineering or science graduates seeking to enter air navigation service providers.
Standards & tools

What you'll work with

  • Regulation (EU) 2017/373 (ATM/ANS service providers)
  • Implementing Regulation (EU) 2021/116 (Common Project One)
  • Regulation (EU) 2023/203 (information security)
  • EUROCAE ED-153 (software assurance for ANS)
  • ICAO Doc 9750 (Global Air Navigation Plan)
  • ICAO Doc 4444 (PANS-ATM)
  • EUROCAE ED-133 (Flight Object interoperability)
  • ISO/IEC 27001 (information security management)
  • EUROCONTROL NEST
  • BlueSky ATM Simulator
  • AirTOp
  • Python with scikit-learn
  • Wireshark
Syllabus

12 modules · 1900 h

  1. 1.1Limitations of the traditional ATM system
  2. 1.2European ATM Master Plan
  3. 1.3SESAR and NextGen programmes
  4. 1.4Common Project One
  5. 1.5Global Air Navigation Plan
  6. 1.6Deployment and financing models
  7. 1.7Interoperability with other world regions
  8. 1.8Industrial players and system suppliers
  9. 1.9Performance indicators
  10. 1.10Case study: analysis of a SESAR solution
  1. 2.1Flight data processing systems
  2. 2.2Radar data processing
  3. 2.3Controller human-machine interface
  4. 2.4Redundancy and availability
  5. 2.5Service-oriented architectures
  6. 2.6Virtualisation and ATM data centres
  7. 2.7ATM data services and ADSP
  8. 2.8Integration of legacy systems
  9. 2.9Performance requirements
  10. 2.10Workshop: architecture of a control system
  1. 3.1Voice over IP communications
  2. 3.2CPDLC and data link
  3. 3.3VDL Mode 2 and ATN
  4. 3.4LDACS and future communications
  5. 3.5Satellite communications in ATM
  6. 3.6PENS network and SWIM
  7. 3.7Quality of service and latency
  8. 3.8Communications cybersecurity
  9. 3.9RCP performance requirements
  10. 3.10Lab: analysis of CPDLC messages
  1. 4.1Mode S secondary radar
  2. 4.2ADS-B and ADS-C
  3. 4.3Multilateration and WAM
  4. 4.4Space-based ADS-B
  5. 4.5Surveillance data fusion
  6. 4.6ASTERIX exchange formats
  7. 4.7Surveillance performance requirements
  8. 4.8A-SMGCS surface surveillance
  9. 4.9Detection of non-cooperative drones
  10. 4.10Practical exercise: ADS-B decoding with real data
  1. 5.1The trajectory-based operations concept
  2. 5.24D trajectory and negotiation
  3. 5.3Flight Object and ED-133
  4. 5.4Extended Projected Profile
  5. 5.5Extended AMAN arrival management
  6. 5.6Controlled times of arrival
  7. 5.7Integration with airborne systems
  8. 5.8Trajectory prediction
  9. 5.9Weather uncertainty in the trajectory
  10. 5.10Case study: arrival sequencing
  1. 6.1SWIM architecture and principles
  2. 6.2AIXM, FIXM and IWXXM models
  3. 6.3Digital aeronautical information services
  4. 6.4Service governance and registry
  5. 6.5SWIM technical profiles
  6. 6.6Digital NOTAM and events
  7. 6.7Information exchange with airports
  8. 6.8Security in SWIM
  9. 6.9Interoperability between regions
  10. 6.10Lab: consuming an AIXM service
  1. 7.1The remote tower concept
  2. 7.2Panoramic cameras and visualisation
  3. 7.3Augmented reality in the tower
  4. 7.4Multiple aerodrome operation from one centre
  5. 7.5Certification of remote towers
  6. 7.6Human factors in the remote tower
  7. 7.7Redundancy and contingency
  8. 7.8Deployments in Europe
  9. 7.9Costs and benefits
  10. 7.10Case study: feasibility of a remote tower
  1. 8.1MTCD conflict detection tools
  2. 8.2STCA and MSAW safety nets
  3. 8.3DMAN departure management
  4. 8.4Decision support systems
  5. 8.5Levels of automation
  6. 8.6Controller trust and acceptance
  7. 8.7Validation with real-time simulation
  8. 8.8U-space integration
  9. 8.9New entrants in higher-airspace operations
  10. 8.10Workshop: evaluation of STCA alerts
  1. 9.1ATM data sources
  2. 9.2Data quality and governance
  3. 9.3Delay prediction
  4. 9.4Trajectory prediction with machine learning
  5. 9.5Anomaly detection
  6. 9.6EASA guidance on machine learning
  7. 9.7Explainability and certification of AI
  8. 9.8Digital twins of the airspace
  9. 9.9Language processing in communications
  10. 9.10Lab: taxi-time prediction model
  1. 10.1Threats to ATM systems
  2. 10.2Regulation (EU) 2023/203
  3. 10.3ISO/IEC 27001 in air navigation
  4. 10.4ED-153 software assurance
  5. 10.5ADS-B security and spoofing
  6. 10.6Incident response
  7. 10.7Vulnerability management
  8. 10.8Supply chain security
  9. 10.9Cybersecurity culture
  10. 10.10Case study: risk analysis of an ATM system
  1. 11.1E-OCVM validation methodology
  2. 11.2Fast-time and real-time simulation
  3. 11.3Shadow-mode trials and live operation
  4. 11.4Safety assessment of change
  5. 11.5Regulation (EU) 2017/373 and oversight
  6. 11.6Controller training
  7. 11.7Management of transition projects
  8. 11.8Success indicators
  9. 11.9Lessons from deployments
  10. 11.10Workshop: transition plan for a system
  1. 12.1Definition of the ATM problem
  2. 12.2State-of-the-art review
  3. 12.3Design of the digital solution
  4. 12.4Data acquisition and processing
  5. 12.5Simulation or prototype
  6. 12.6Safety assessment
  7. 12.7Cost-benefit analysis
  8. 12.8Conclusions and future work
  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 each intake, making it compatible with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is EUROCONTROL NEST, BlueSky ATM Simulator, AirTOp, Python with scikit-learn and Wireshark, in free, academic or evaluation versions. Real procedures are studied, such as fast-time simulation of control sectors, trajectory analysis with ADS-B data and evaluation of controller support tools. Assessment is continuous per module, plus the final Master's Thesis.

Standards covered: Regulation (EU) 2017/373, Implementing Regulation (EU) 2021/116, Regulation (EU) 2023/203, EUROCAE ED-153, ICAO Doc 9750, ICAO Doc 4444, EUROCAE ED-133, ISO/IEC 27001.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of Regulation (EU) 2017/373, Common Project One and Regulation (EU) 2023/203 applied to real cases, not as a theoretical annex.
Industry software:EUROCONTROL NEST, BlueSky ATM Simulator, AirTOp, Python with scikit-learn and Wireshark, in free, academic or evaluation versions.
Master's Thesis with defence:a digital ATM solution designed, simulated or prototyped and safety-assessed, 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.

ADS-B data decoding
Decode and analyse real ADS-B surveillance data.
Arrival sequencing
Sequence arrivals using trajectory-based operations concepts.
Taxi-time prediction
Build a machine learning model to predict taxi times.
ATM risk analysis
Carry out a cybersecurity risk analysis of an ATM system.
Master's Thesis
A digital ATM solution with data, simulation or prototype, safety assessment and cost-benefit analysis, defended before a panel.
Career opportunities

Where this takes you

ATM systems engineerAir navigation data analystRemote tower engineerAir traffic control systems architectATM cybersecurity engineerSESAR consultant
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 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.

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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 EUROCONTROL NEST, BlueSky ATM Simulator, AirTOp, Python with scikit-learn and Wireshark, 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, plus 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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