Master'sAerospace, UAM, Drones & Space Applications open

Master’s in C-UAS and Airspace Risk Management Engineering

Online master's programme of 1,900 hours in C-UAS and airspace risk management engineering, structured in 12 modules covering non-cooperative UAS risk, the legal framework, airspace risk management, detection technologies, data fusion, response and mitigation, incident management, U-space integration, system evaluation, ethics and privacy, and critical infrastructure protection, 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

Understand the risk that non-cooperative UAS pose to airspace.

02

Apply the European and national legal framework for airspace protection.

03

Assess the risks and vulnerabilities of critical infrastructure.

04

Analyse detection and data fusion technologies.

05

Design proportionate incident management procedures.

06

Integrate surveillance with U-space services and geo-awareness.

07

Evaluate the ethical and privacy aspects of aerial surveillance.

Profile

Who it's for

  • Airport security managers.
  • Airspace risk analysts.
  • Surveillance systems engineers.
  • Critical infrastructure protection managers.
  • UAS security consultants.
  • Emergency management coordinators.
  • Engineering or science graduates seeking to enter the airport sector.
Standards & tools

What you'll work with

  • Implementing Regulation (EU) 2019/947 (rules and procedures for the operation of unmanned aircraft)
  • Implementing Regulation (EU) 2021/664 (regulatory framework for U-space)
  • Regulation (EU) 139/2014 (aerodrome requirements and procedures)
  • Directive (EU) 2022/2557 (resilience of critical entities)
  • Regulation (EU) 2016/679 GDPR (protection of personal data)
  • ICAO Doc 10019 (Manual on Remotely Piloted Aircraft Systems)
  • ISO 31000 (risk management guidelines)
  • EUROCAE ED-286 (operational services and environment definition for counter-UAS in controlled airspace)
  • QGIS
  • MATLAB
  • Remote ID receiver SDKs
  • ArcGIS Pro
  • Python
Syllabus

12 modules · 1900 h

  1. 1.1Drone incidents at airports
  2. 1.2The Gatwick Airport case, 2018
  3. 1.3Types of drone misuse
  4. 1.4Vulnerability of critical infrastructure
  5. 1.5Risk perception and its evolution
  6. 1.6Public and private stakeholders involved
  7. 1.7Classification of threats by intent
  8. 1.8Lessons from public events
  9. 1.9Challenges of airspace protection
  10. 1.10Case study: analysis of an airport incident
  1. 2.1Implementing Regulation (EU) 2019/947
  2. 2.2UAS geographical zones and restrictions
  3. 2.3Powers of law enforcement
  4. 2.4Use of the radio spectrum
  5. 2.5Legal limitations on neutralisation
  6. 2.6European counter-drone strategy
  7. 2.7Protection of critical infrastructure
  8. 2.8Responsibilities of the airport operator
  9. 2.9Data protection in detection
  10. 2.10Workshop: responsibility map at an airport
  1. 3.1Risk analysis methodologies
  2. 3.2Hazard identification
  3. 3.3Probability and severity matrices
  4. 3.4Vulnerability assessment
  5. 3.5Consequence analysis
  6. 3.6Strategic risk mitigations
  7. 3.7Acceptable residual risk
  8. 3.8Integration into the SMS
  9. 3.9Periodic risk review
  10. 3.10Practical exercise: UAS risk assessment of a regional airport
  1. 4.1Low-level radar and its limitations
  2. 4.2Radio frequency detection
  3. 4.3Electro-optical and infrared sensors
  4. 4.4Acoustic detection and its limitations
  5. 4.5Remote ID as a cooperative source
  6. 4.6Performance and false alarms
  7. 4.7Coverage and shadow zones
  8. 4.8Environmental factors in detection
  9. 4.9Sensor comparison
  10. 4.10Lab: coverage analysis of an RF sensor
  1. 5.1Command and control architectures
  2. 5.2Multi-sensor track fusion
  3. 5.3Classification and identification
  4. 5.4Artificial intelligence in classification
  5. 5.5Operational airspace visualisation
  6. 5.6Integration with airport systems
  7. 5.7Alarm management
  8. 5.8System interoperability
  9. 5.9Event logging
  10. 5.10Practical exercise: fusion logic for two sensors
  1. 6.1Principles of proportionality
  2. 6.2Decision and authorisation chain
  3. 6.3Collateral damage considerations
  4. 6.4Effects on aeronautical services
  5. 6.5Coordination with air traffic control
  6. 6.6Protocols for suspending operations
  7. 6.7Passive and protective measures
  8. 6.8Restrictions on the use of jamming
  9. 6.9Ethical assessment of the response
  10. 6.10Case study: response decision tree at an airport
  1. 7.1Airport contingency plans
  2. 7.2Notification procedures
  3. 7.3Coordination between the agencies involved
  4. 7.4Operational continuity management
  5. 7.5Communication with passengers and the media
  6. 7.6Recovery of operations
  7. 7.7Post-incident investigation
  8. 7.8Lessons learned and improvement
  9. 7.9Exercises and drills
  10. 7.10Workshop: tabletop exercise at an airport
  1. 8.1Geozones and geofences
  2. 8.2Network identification services
  3. 8.3Non-conformance detection
  4. 8.4Information for legitimate operators
  5. 8.5Data on authorised flights
  6. 8.6Distinguishing cooperative and non-cooperative traffic
  7. 8.7Information exchange with authorities
  8. 8.8Interfaces with USSPs
  9. 8.9Prevention through geo-awareness
  10. 8.10Case study: integrating Remote ID with airport surveillance
  1. 9.1Definition of operational requirements
  2. 9.2Performance metrics
  3. 9.3Testing in controlled environments
  4. 9.4Benchmarking methodologies
  5. 9.5Equipment certification
  6. 9.6Electromagnetic compatibility with airport systems
  7. 9.7Life cycle and costs
  8. 9.8Public procurement of systems
  9. 9.9European evaluation references
  10. 9.10Practical exercise: evaluation matrix for detection systems
  1. 10.1Privacy in airspace surveillance
  2. 10.2GDPR impact assessment
  3. 10.3Transparency and accountability
  4. 10.4Responsible use of AI
  5. 10.5Rights of legitimate operators
  6. 10.6Public communication and transparency
  7. 10.7International debates on surveillance
  8. 10.8Balancing security and civil liberties
  9. 10.9Codes of conduct
  10. 10.10Case study: data protection impact assessment
  1. 11.1Protection of power plants
  2. 11.2Ports and port facilities
  3. 11.3Prisons and correctional facilities
  4. 11.4Mass events and stadiums
  5. 11.5Government buildings and institutional headquarters
  6. 11.6Operator security plans
  7. 11.7Coordination with local authorities
  8. 11.8Design of surveillance perimeters
  9. 11.9Residual risk management
  10. 11.10Practical exercise: aerial surveillance plan for a sporting event
  1. 12.1Selection of the protected environment
  2. 12.2Threat and vulnerability analysis
  3. 12.3Risk assessment
  4. 12.4Detection architecture design
  5. 12.5Incident management procedures
  6. 12.6Legal and ethical analysis
  7. 12.7Cost assessment
  8. 12.8Implementation plan
  9. 12.9Master's Thesis report
  10. 12.10Master's Thesis: defence before a panel
Methodology, software & labs

How you'll learn

The programme is delivered 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 it with your job.

Each module combines theory, guided reading of the original regulations and applied exercises. The working software is QGIS, MATLAB, Remote ID receiver SDKs, ArcGIS Pro and Python, in free, academic or evaluation versions. Exercises are based on real procedures: airport risk assessments, tabletop exercises for drone incidents and sensor coverage analysis. Assessment is continuous for each module, plus the final Master's Thesis.

Standards covered: Implementing Regulation (EU) 2019/947, Implementing Regulation (EU) 2021/664 on U-space, Regulation (EU) 139/2014, Directive (EU) 2022/2557 on the resilience of critical entities, Regulation (EU) 2016/679 (GDPR), ICAO Doc 10019 Manual on RPAS, ISO 31000, EUROCAE ED-286.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of Regulation (EU) 2019/947, Regulation (EU) 2021/664, Regulation (EU) 139/2014 and ISO 31000 applied to real cases, not as a theoretical annex.
Industry software:QGIS, MATLAB, Remote ID receiver SDKs, ArcGIS Pro and Python, in free, academic or evaluation versions.
Master's Thesis with defence:A C-UAS protection concept for a real site, from threat analysis to detection architecture, procedures and implementation plan, 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.

Airport UAS risk assessment
Assess the UAS risk of a regional airport using probability and severity matrices.
Sensor coverage and fusion
Analyse RF sensor coverage and define fusion logic for two sensors.
Response decision tree
Build a proportionate response decision tree and run a tabletop exercise.
Surveillance plan
Design an aerial surveillance plan for a sporting event, with DPIA.
Master's Thesis
Design a C-UAS protection concept for a real site, defended before a panel.
Career opportunities

Where this takes you

Airport security managerAirspace risk analystSurveillance systems engineerCritical infrastructure protection managerUAS security consultantEmergency management coordinator
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'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 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 QGIS, MATLAB, Remote ID receiver SDKs, ArcGIS Pro and Python, 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 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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