Program: Master of Science in Cybersecurity
Institution: Paris Graduate School
Instructor: Dr Todd Price
Duration: 6 Weeks
Credit Value: 6–9 ECTS
Format: Hybrid (Lecture + Simulation Lab)
COURSE DESCRIPTION
This course develops advanced capabilities in cyber threat decision-making under uncertainty using the AEGIS operational model and Dynamic Threat Mitigation (DTM) framework.
Students engage in progressive simulation-based learning, culminating in full-spectrum cyber war games. Emphasis is placed on:
- Threat signal interpretation
- Decision prioritization under ambiguity
- Multi-role coordination
- Strategic and operational response execution
The course integrates theory, applied exercises, and adversarial simulations to produce high-confidence cyber decision-makers.
LEARNING OUTCOMES
By the end of this course, students will be able to:
- Apply DTM models to assess and prioritize cyber threats
- Operate within AEGIS workflows to coordinate multi-role responses
- Distinguish signal from noise in complex threat environments
- Execute time-sensitive decisions under uncertainty
- Lead or contribute to coordinated cyber incident response
- Analyze and improve performance through structured after-action review
TEACHING & LEARNING METHODS
- Instructor-led seminars
- Guided decision labs
- Scenario-based tabletop exercises
- Live cyber war game simulations
- After-action review (AAR) sessions
- Peer evaluation and reflection