IndependINT

Purpose: The Fundamentals of Intelligence course introduces students to the foundational concepts, roles, and practices of intelligence as both a profession and a discipline. It is designed as a soft entry point for those beginning their careers in intelligence or related fields, equipping participants with a clear understanding of what intelligence is, why it matters, and how it functions within organisations and society.

It recognises the central purpose of intelligence as a function to support decision making, reduce uncertainty, and enable foresight. By providing practical exposure to different domains, organisational context, and roles, it grounds the student in the lived reality of intelligence practices. Finally, it develops an awareness of the mindset required of intelligence professionals and establishes a shared conceptual vocabulary which will be used across future courses.

Purpose: Intelligence Tradecraft equips students with the conceptual frameworks and practical tools required to think and operate like intelligence analysts. Where the Fundamentals of Intelligence course introduces the discipline, this course focuses on the application of analytic reasoning to real-world security challenges.

The purpose of the course is to bridge the gap between subject-matter expertise and problem-solving tradecraft. Security professionals often hold deep knowledge of threats, technologies, or environments, but may not have been trained in the structured analytic methods that convert knowledge into foresight and actionable judgment.

This course closes that gap by providing a cognitive foundation in reasoning, biases and analytic frameworks. It introduces applied tradecraft which participants can apply to their target domain. Finally, it embeds habits like analytic rigour, curiosity and self-awareness that can be applied across a range of problem sets.

Purpose: Data-Driven Intelligence Analysis introduces analysts to the theory, tools, and techniques required to work confidently with structured and semi-structured data in support of security analysis. Building on the foundations of analytic tradecraft, the course provides students with the skills to prepare, manipulate, and interpret data, and to apply temporal, spatial, and network perspectives to real-world problems.

By the end of the course, participants will not only understand core analytic concepts such as time, space, and networks, but also gain practical experience in applying them through hands-on exercises and a simulated target problem. This combination of technical fluency and analytic application ensures students are prepared to integrate datadriven methods into their ongoing professional practice.