Information Analyst — Search, Processing and Analysis Technologies (OSINT)

• Introduction to OSINT
• The Intelligence Cycle
• Research Process Security
• Analytical Models
• Legal Framework
• Practice: Analytical Report

• Theory of digital identity
• Username search
• Email attribution
• Phone number search
• Biometric attribution
• Behavioral patterns
• Practice: Pseudonym attribution

• DNS and Whois
• IP analysis
• Internet device search engines
• Subdomains and web infrastructure
• Cloud infrastructure
• Infrastructure attribution
• Practice: Building an infrastructure map of an organization

• Platforms and their features
• Advanced search on social networks
• Content and connection analysis
• Working with deleted content
• Detecting inauthentic accounts
• Messengers as a source of information
• Practice: Advanced analysis of a social media information campaign

• Geolocation fundamentals
• Photo and video analysis
• Google Earth satellite imagery
• EXIF and geometadata
• Advanced geolocation techniques
• Maritime and aviation tracking
• Practice: Geolocating an event from photo materials

• Graph theory
• Types of connections
• Maltego and transforms
• Gephi for analysis
• Automating data collection for graphs
• Financial networks and corporate structures
• Practice: Building and visualizing a corporate organizational connections map

• Multilingual search strategy
• Regional platforms
• Searching regional search engines
• Translation and OCR tools
• Cultural codes and context
• Transliteration and name variability
• Practice: Compiling a multilingual profile of a public figure across different language segments of the internet

• Real-time monitoring
• Ephemeral content
• Content archiving
• Searching during crises
• Monitoring automation
• Temporal attribution
• Practice: Real-time monitoring and timeline of an event

• Fact-checking methodology
• Photo and video verification
• Detecting manipulation
• The disinformation ecosystem
• Verification tools
• Attributing the source of disinformation
• Practice: Debunking a manipulative campaign

• Auditing your own digital footprint
• Minimizing your digital footprint
• Corporate digital footprint protection analysis
• Protecting active investigations
• Research process security for journalists and researchers
• The future of OSINT in light of AI technologies
• Practice: A full audit and protection plan for your own digital footprint

• Enhancing search through prompts
• Semi-automatic pipelines
• Full-fledged AI agents
• Practice 1: Research with AI
• Practice 2: Building a monitoring pipeline
• Practice 3: Building an AI agent for a full research cycle

Yes. We cooperate with various government support programs that may provide funding for different categories of applicants, including not only unemployed individuals but also employed residents of Estonia.

Leave a request to learn which funding opportunities may be available in your case.

No prior technical experience is required. Basic digital literacy is recommended, while technical tools and methodologies are introduced gradually through hands-on practice.

Yes. The course includes practical tasks in information search, verification, infrastructure analysis, geolocation, visualization, and automation.

Yes. The program includes legal limitations, research process security, and ethical handling and presentation of findings.

The final result is a structured analytical project with verified sources, organized data, visualizations, and conclusions.

The schedule is flexible — classes take place 2–3 times per week, and course materials remain available throughout the training. If you miss a class, instructors will help you catch up.

You will receive a MYEDU training center certificate in an international format, as well as a certificate from the S.E. School of System Analysis, confirming your qualification.