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Master'sDefense, Military Engineering & Land Systems Applications open

Master’s in Counter-UAS and Infrastructure Protection Engineering (Technical-Regulatory)

Online master's programme of 1,900 hours in counter-UAS engineering and infrastructure protection from a technical and regulatory perspective: 12 modules covering the UAS threat, the EU regulatory framework, radar, RF, electro-optical and acoustic detection, sensor fusion and C2, mitigation measures, testing, simulation and programme management, 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 threat that unmanned aircraft systems pose to infrastructure.

02

Interpret the applicable European and national regulatory framework.

03

Select radar, radio-frequency, optical and acoustic sensors.

04

Design layered detection architectures with data fusion.

05

Assess mitigation measures from a technical and regulatory standpoint.

06

Simulate coverage and optimise sensor sites.

07

Plan the evaluation and deployment of protection systems.

Profile

Who it's for

  • C-UAS systems engineers looking to deepen their technical and regulatory expertise.
  • Infrastructure security consultants.
  • Radar engineers moving into drone detection.
  • Sensor integration engineers.
  • Airport security managers.
  • Risk analysts working on critical infrastructure.
  • Engineering or science graduates aiming to work in airports and critical infrastructure.
Standards & tools

What you'll work with

  • Commission Implementing Regulation (EU) 2019/947 (rules and procedures for the operation of unmanned aircraft)
  • Commission Delegated Regulation (EU) 2019/945 (unmanned aircraft systems and third-country operators)
  • Directive (EU) 2022/2557 (resilience of critical entities)
  • Commission Implementing Regulation (EU) 2021/664 (U-space regulatory framework)
  • ISO 31000 (risk management)
  • ASTM F3411 (remote identification and tracking)
  • Regulation (EU) 2016/679 (General Data Protection Regulation, GDPR)
  • MATLAB Radar Toolbox
  • GNU Radio
  • OpenCV
  • QGIS
  • Python
Syllabus

12 modules · 1900 h

  1. 1.1Types of commercial UAS and their proliferation
  2. 1.2Incidents at airports and public events
  3. 1.3Misuse: intrusion, smuggling and espionage
  4. 1.4Vulnerable critical infrastructure
  5. 1.5Risk analysis according to ISO 31000
  6. 1.6Threat scenarios for planning
  7. 1.7Critical Entities Resilience Directive
  8. 1.8Actors responsible for protection
  9. 1.9Ethics and proportionality
  10. 1.10Case study: analysis of the Gatwick 2018 incident
  1. 2.1EU Regulations 2019/947 and 2019/945
  2. 2.2U-space and geographical zones
  3. 2.3Remote identification of UAS
  4. 2.4National aviation security regulations
  5. 2.5Competences in neutralisation
  6. 2.6Spectrum and emissions regulation
  7. 2.7Data protection in detection
  8. 2.8European Commission Communication on C-UAS
  9. 2.9Civil and criminal liability
  10. 2.10Workshop: matrix of legal competences by actor
  1. 3.1Radar for small, slow targets
  2. 3.2Radar cross-section of multirotors
  3. 3.3FMCW and pulse-Doppler radar
  4. 3.4Micro-Doppler for classification
  5. 3.5Clutter and birds
  6. 3.6Range and coverage
  7. 3.7Installation and siting
  8. 3.8Performance of commercial systems
  9. 3.9Integration with other sensors
  10. 3.10Lab: micro-Doppler analysis with simulated data
  1. 4.1Command and video links of commercial UAS
  2. 4.2Passive RF detection
  3. 4.3Direction finding and pilot localisation
  4. 4.4Decoding remote identification
  5. 4.5Protocol databases
  6. 4.6Limitations against autonomous UAS
  7. 4.7Legal framework for spectrum monitoring
  8. 4.8Distributed RF sensors
  9. 4.9Performance evaluation
  10. 4.10Practical: receiving remote identification with SDR
  1. 5.1EO and IR cameras for tracking
  2. 5.2Detection with computer vision
  3. 5.3Tracking and pointing
  4. 5.4Acoustic sensors and microphone arrays
  5. 5.5Acoustic signature classification
  6. 5.6Weather and night-time conditions
  7. 5.7Integration with radar
  8. 5.8UAS datasets
  9. 5.9Evaluation of detectors
  10. 5.10Lab: drone detector with YOLO
  1. 6.1Layered C-UAS system architecture
  2. 6.2Multi-sensor track fusion
  3. 6.3Classification and identification
  4. 6.4Operator interface
  5. 6.5Management of alarms and false alarms
  6. 6.6Integration with existing security systems
  7. 6.7Integration with air traffic control
  8. 6.8Event and evidence logging
  9. 6.9System cybersecurity
  10. 6.10Case study: C-UAS architecture for a power plant
  1. 7.1Classification of mitigation measures
  2. 7.2Passive measures: nets, shelters and design
  3. 7.3Geofencing and manufacturer cooperation
  4. 7.4Radio interference: legal implications
  5. 7.5Collateral risks to third parties
  6. 7.6Authorisation and competent authorities
  7. 7.7Proportionality criteria
  8. 7.8Graduated response procedures
  9. 7.9Assessment of unintended effects
  10. 7.10Workshop: response procedure for an airport
  1. 8.1Airports and the airport environment
  2. 8.2Energy and nuclear power plants
  3. 8.3Prisons and correctional facilities
  4. 8.4Major events and stadiums
  5. 8.5Ports and maritime facilities
  6. 8.6Government buildings
  7. 8.7Transport infrastructure
  8. 8.8Operator security plans
  9. 8.9Coordination with law enforcement
  10. 8.10Case study: C-UAS plan for a major event
  1. 9.1C-UAS evaluation methodologies
  2. 9.2Standardised test scenarios
  3. 9.3Metrics: probability of detection and false alarms
  4. 9.4European evaluation programmes
  5. 9.5Field trials and permits
  6. 9.6Scenario simulation
  7. 9.7System certification
  8. 9.8Comparative analysis of solutions
  9. 9.9Evaluation reports
  10. 9.10Practical: design of a test protocol
  1. 10.1Sensor coverage modelling
  2. 10.2Simulation of UAS trajectories
  3. 10.3Simulation of urban scenarios
  4. 10.4Coverage gap analysis
  5. 10.5Site optimisation
  6. 10.6Simulation of the response
  7. 10.7Digital twins of facilities
  8. 10.8Model validation
  9. 10.93D visualisation
  10. 10.10Lab: site optimisation with Python
  1. 11.1Needs assessment
  2. 11.2Technical procurement specification
  3. 11.3Public procurement of systems
  4. 11.4Integration and deployment
  5. 11.5Operator training
  6. 11.6Maintenance and upgrades
  7. 11.7Life-cycle costs
  8. 11.8Effectiveness indicators
  9. 11.9Continuous improvement
  10. 11.10Workshop: technical specification for a detection system
  1. 12.1Selection of the infrastructure
  2. 12.2UAS risk analysis
  3. 12.3Applicable legal framework
  4. 12.4Design of the detection architecture
  5. 12.5Coverage simulation
  6. 12.6Response procedures
  7. 12.7Evaluation plan
  8. 12.8Conclusions and recommendations
  9. 12.9Master's Thesis 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 the intake, so you can combine it with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is MATLAB Radar Toolbox, GNU Radio, OpenCV, QGIS and Python, in free, academic or evaluation versions. Testing is studied through real procedures for field evaluation of UAS detection sensors, coverage simulation and sensor siting, and micro-Doppler classification analysis. Assessment is continuous by module, plus the final Master's Thesis.

Standards covered: Commission Implementing Regulation (EU) 2019/947, Commission Delegated Regulation (EU) 2019/945, Directive (EU) 2022/2557, Commission Implementing Regulation (EU) 2021/664, ISO 31000, ASTM F3411, Regulation (EU) 2016/679.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of Regulations (EU) 2019/947 and 2019/945 and Directive (EU) 2022/2557 applied to real cases, not as a theoretical annex.
Industry software:MATLAB Radar Toolbox, GNU Radio, OpenCV, QGIS and Python, in free, academic or evaluation versions.
Master's Thesis with defence:A complete C-UAS protection design for a real infrastructure, from risk analysis to detection architecture, coverage simulation and response procedures, 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.

UAS risk analysis
Assess the UAS threat to a selected infrastructure using ISO 31000 and real incident scenarios.
Legal framework mapping
Define the competences and legal constraints of each actor involved in detection and response.
Detection architecture design
Design a layered radar, RF and EO/acoustic architecture with multi-sensor fusion.
Coverage simulation and siting
Simulate sensor coverage and optimise sensor sites, identifying and closing coverage gaps.
Master's Thesis
A complete C-UAS protection plan with response procedures and an evaluation plan, defended before a panel.
Career opportunities

Where this takes you

C-UAS Systems EngineerInfrastructure Security ConsultantRadar EngineerSensor Integration EngineerAirport Security ManagerRisk Analyst
Admissions & scholarships

Requirements

  • University degree in engineering, science or architecture, or equivalent demonstrable professional experience.
  • Internet connection and a computer able to run 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 MATLAB Radar Toolbox, GNU Radio, OpenCV, QGIS 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 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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