Course in Academic Standards in SIGINT Analysis
Online 300 h course in academic standards for SIGINT analysis. 6 modules covering the ITU Radio Regulations, ICD 203 (analytical standards) and GNU Radio. Assigned tutor and open enrolment.
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Run a real engineering trade-off from this programme. Move the sliders, watch the model react in real time and beat the challenge.
What you will be able to do
Situate signal intelligence in its historical and legal context.
Explain the fundamentals of the spectrum and signal representation.
Apply time-frequency analysis methods to public signals.
Apply analytical quality standards such as ICD 203.
Evaluate the ethical and privacy limits of signal analysis.
Ensure the reproducibility of a signal analysis study.
Develop an academic research project using open signals.
Who it's for
- Signal processing researcher who wants to specialise in Academic Standards in SIGINT Analysis.
- Radio spectrum analyst who wants to specialise in Academic Standards in SIGINT Analysis.
- Telecommunications engineer who wants to specialise in Academic Standards in SIGINT Analysis.
- Spectrum management technician who wants to specialise in Academic Standards in SIGINT Analysis.
- University lecturer in communications who wants to specialise in Academic Standards in SIGINT Analysis.
- Open-source intelligence analyst who wants to specialise in Academic Standards in SIGINT Analysis.
- Graduates in engineering or science seeking to enter universities and research centres.
What you'll work with
- ITU Radio Regulations
- ICD 203 (analytical standards)
- ICD 206 (citation of sources)
- ISO/IEC 17025:2017
- IEEE 1241-2010 (testing of analogue-to-digital converters)
- Regulation (EU) 2016/679 (GDPR)
- Directive 2002/58/EC (privacy in electronic communications)
6 modules · 300 h
1.1Intelligence disciplines: SIGINT, COMINT and ELINT1.2Intelligence cycle and information requirements1.3History of SIGINT in the 20th century1.4SIGINT organisation in NATO1.5Legal framework: judicial and parliamentary oversight1.6Law 11/2002 regulating the CNI and prior control1.7ECtHR case law on mass surveillance1.8Data protection and secrecy of communications1.9Academic debate on surveillance and privacy1.10Practical case: analysis of the Big Brother Watch judgment
2.1Radio spectrum and frequency bands2.2Analogue and digital modulation2.3Sampling, quantisation and aliasing2.4Fourier transform and spectral analysis2.5Signal-to-noise ratio and receiver sensitivity2.6Software-defined radio in research2.7Propagation and channel effects2.8ITU Radio Regulations2.9Legal use of spectrum in university laboratories2.10Laboratory: spectral analysis of broadcast signals
3.1Signal detection in the presence of noise3.2Estimation of frequency, bandwidth and power3.3Automatic modulation classification3.4Time-frequency analysis and spectrograms3.5Cyclostationary analysis3.6Machine learning applied to signals3.7Public datasets such as RadioML3.8Classifier evaluation metrics3.9Model biases and limitations3.10Practice: modulation classifier with open data
4.1Analytical quality standards in intelligence4.2ICD 203 Directive on analytical standards4.3Source evaluation and information reliability4.4Probability scales and estimative language4.5Structured analytic techniques4.6Analysis of competing hypotheses (ACH)4.7Analyst cognitive biases4.8Traceability and documentation of conclusions4.9Peer review of analytical reports4.10Workshop: evaluation of a report against analytical standards
5.1Principles of necessity and proportionality5.2Data minimisation and retention5.3Independent oversight and accountability5.4University research with signal data5.5Ethics committees and project approval5.6Reproducibility and publication of results5.7Export control of analysis tools5.8Regulation (EU) 2021/821 and surveillance technologies5.9Researcher code of conduct5.10Practical case: ethics opinion on a research project
6.1Formulating the research question6.2Literature review (state of the art)6.3Selection of open data and licences6.4Methodological design and metrics6.5Ethical and legal assessment of the project6.6Implementation and analysis of results6.7Validation and reproducibility6.8Writing the academic article6.9Report and presentation6.10Final review with the tutor
How you'll learn
100 % online training on the SEIUM Institute campus, with downloadable material, recorded classes and assigned technical tutor. No fixed timetable: the student progresses at their own pace within the intake, which makes it possible to combine it with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is GNU Radio, MATLAB (Signal Processing Toolbox), Python (SciPy), Inspectrum, in free, academic or evaluation versions. Tests are studied on real procedures for analysing public signals with SDR, peer review of analytical reports, reproducibility study. Assessment is continuous per module plus the final integrating project.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Situate signal intelligence in its historical and legal context.
Explain the fundamentals of the spectrum and signal representation.
Apply time-frequency analysis methods to public signals.
Apply analytical quality standards such as ICD 203.
Evaluate the ethical and privacy limits of signal analysis.
Where this takes you
Requirements
- No prior degree required.
- Internet connection and a computer capable of running the programme's software.
- Sufficient Spanish to follow technical regulatory reading.
Ready to start?
Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.
Frequently asked questions
The programme totals 300 hours spread over 3 to 5 months. That is between 10 and 15 hours a week on average, compatible with a full-time job.
Work is carried out with GNU Radio, MATLAB (Signal Processing Toolbox), Python (SciPy), Inspectrum. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.
An own diploma from SEIUM Institute upon passing continuous assessment and the integrating project. It is own training, not an official title from the Ministry.
Yes. Modules passed in a course or postgraduate diploma in the same area can be credited towards the advanced programme. Check the credit recognition policy when enrolling.
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