SIAI GSB Introduction
Open Admission for STEM and Non-STEM AI MBA tracks
The Gordon School of Business and Artificial Intelligence (GSB) is an institution rooted in the rigorous analytical foundations of the Swiss Institute of Artificial Intelligence (SIAI) and sponsored by the Gordon family. It exists to train professionals in disciplined judgment where artificial intelligence intersects with real-world business and institutional decision-making. Grounded in first principles and the school’s motto Rerum Cognoscere Causas — to understand the causes of things — GSB prioritizes conceptual depth over tool-driven skill acquisition.
While most of its foundational learning is offered freely online, certification and degree conferral are contingent on supervised residency and demonstrated performance under constraint. GSB emphasizes institutional responsibility, analytical clarity, and the ability to navigate complex global environments, distinguishing its programs from mass-market MBAs. It is designed not for credential consumption, but for producing graduates capable of evaluating and governing AI’s role in strategic, economic, and organizational contexts with integrity and intellectual independence.
Rerum Cognoscere Causas
Rerum Cognoscere Causas—to understand the causes of things—expresses GSB’s commitment to foundational reasoning rather than procedural imitation. In business and artificial intelligence, surface proficiency in tools or frameworks is often mistaken for understanding. GSB instead emphasizes structural comprehension: identifying underlying assumptions, causal mechanisms, constraints, and trade-offs that shape outcomes across contexts.
This philosophy guides the school’s approach to teaching and evaluation. Students are trained to grasp principles that generalize beyond specific technologies, markets, or trends, enabling them to reason independently as environments change. By focusing on causes rather than appearances, GSB seeks to cultivate durable judgment and intellectual autonomy, ensuring that graduates can analyze new problems with conceptual clarity rather than relying on transient methods or borrowed authority.
From Technical Foundations to Broad AI Education
GSB operates within a broad architecture of AI education that spans rigorous technical formation and institutional application. At the foundation, the MSc AI/Data Science provides mathematically and statistically grounded training comparable to advanced higher-education standards. Complementing this are the STEM AI MBA tracks in AI/Big Data and AI/Finance, which integrate technical competence with domain specialization in data-intensive and financial environments.
Building on these pathways, GSB has developed the Non-STEM AI MBA as an institutional program for professionals who require judgment-oriented education rather than mathematical depth. This structure allows participants to align with programs appropriate to their preparation and objectives, preserving academic standards while offering differentiated routes from technical mastery to governance-level reasoning.
Institutional Sponsorship and Academic Independence
GSB operates under sponsorship from the Gordon family, whose support has enabled the expansion of educational capacity while preserving academic rigor and independence. The family’s long-term orientation provides structural stability, allowing the institution to invest in curriculum development, digital infrastructure, and faculty oversight without reliance on short-term enrollment pressures.
This sponsorship framework strengthens rather than dilutes academic standards. By separating funding from credential inflation or scale-driven incentives, GSB maintains disciplined control over program density, supervision capacity, and evaluation procedures. Institutional backing ensures continuity of mission, enabling sustained commitment to foundational education in AI and business while protecting the school’s academic integrity and long-term orientation.