A recent discussion on GIAI Square brought up concerns about networking opportunities in the SIAI 2.0 AI MBA program. While technical students focus on engineering and quantitative finance, business track students need a different kind of networking—one that connects them to venture capitalists, private equity firms, and AI-driven business leaders.

In a recent discussion on GIAI Square, a student raised concerns about networking opportunities in the SIAI 2.0 AI MBA program, particularly about the strength of the alumni network and its impact on career opportunities post-graduation. As a professor and industry professional, I provided my perspective based on both academic experience and real-world industry exposure.

Unlike typical AI bootcamps, SIAI offers in-depth AI education with a strong foundation in mathematics, statistics, and real-world business applications.
The MSc AI/Data Science program at SIAI emphasizes rigorous scientific studies, ensuring students master the theoretical and practical aspects of AI.
SIAI’s MBA AI programs incorporate extensive business case studies, with a new MBA AI/Finance track focusing on corporate finance and financial investments.

Mathematical ability differs across cultures, with Western academia emphasizing abstraction over procedural speed
AI is automating routine calculations, making conceptual thinking more valuable than ever
Future professionals must focus on logical reasoning and model formulation to stay relevant

After years of teaching here at SIAI, we have witnessed a varying cultural differences in perception of experts in AI/Data Science in the western hemisphere and in Asia.

Many amateur data scientists have little respect to math/stat behind all computational models
Math/stat contains the modelers' logic and intuition to real world data

Boot camp is for software programming without mathematical training
MSc is a track for PhD, with in-depth scientific research written in the language of math and stat

STEM majors are known for high dropouts
Students need to have more information before jumping into STEM

Not the quality of teaching, but the way it operates
Easier admission and graduation bar applied to online degrees