SIAI is an online business school dedicated for the careers of Artificial Intelligence, Data Science, and Data Analytics fields. We offer graduate programs specialized in AI, Data Science and related fields for MBA, DBA in AI as well as MSc AI/Data Science for scientifically heavy studies. Following the institution’s motto, Rerum Cognoscere Causas, SIAI’s teaching is to guide students to track the fundamentals of technical knowledge by data science tools. Details of program differences are available in Guide for right program.
SIAI’s MBA AI/BigData has been chosen by EduTimes as the No.1 rising star program in AI/Data Science in 2023 by the dedicated course contents with abundant live business projects. For our MBA students, math/stat is not just textbook knowledge but an advanced tool with sharp intuition for successful businss application. MSc AI/Data Science students are also given the same business project courses along with more sophisticated technical tools in computational statistics. SIAI focuses heavily on business applications of theoretic knowledge.
The MBA is ranked No.1 in European MBA specialization in AI and No.2 in the world only next to MIT by MBARanking.com in 2023. Unlike traditional MBAs, SIAI’s STEM-based AI MBA provides no ordinary business courses but technically heavy biz courses by tech/biz tracks. Though teaching materials are identical, tech students are offered upto 40%+ of MSc AI/Data Science grading/evaluation, so as to help learning deeper in technical background, if wanted. Check selected dissertations on Global Institute of Artificial Intelligence(GIAI)’s publications.
The founders of SIAI, GIAI members, also offer practical vocational courses for students pursuing non-degree tracks, covering computer programing, basic math / stat, business talks from AI/DS fields across the world, and pre-SIAI course materials, along with AI MBAs and MSc AI/Data Science admission exams on the online community platform, GIAI Square. The format is to serve as an extension school, so dedicated students are free to come and talk to people, make friends in this field, and learn from peers while playing hard with codes, thoughts, and business intuition!
To further promote AI/Data Science education, GIAI members provide a summary of lecture notes that are basis of SIAI education. Although the partial notes cannot fully replace lectures, it should help you to see what SIAI teaches in class and to ‘guestimate’ the true strength of SIAI’s business-focused AI education. Students are encouraged to make a contribution to notes so that the materials can include diverse views of the classes. AI/Data Science columns on GIAI Research closely related to lecture are also discussed in the notes.
AI/Data Science Columns
I have spent years in AI and data science, believing that structured models and quantitative analysis were the future. That perspective changed the moment I became a target of an orchestrated misinformation campaign—one that wasn’t random but designed to destroy my credibility, my institution’s reputation, and my work.
80% of Korean students failed at SIAI not due to lack of intelligence but due to deep-rooted cultural conditioning that discourages independent thought and risk-taking The Confucian, exam-based education system promotes rote memorization over problem-solving, making students struggle in an environment that requires deep, abstract thinking Korea’s broader economic and corporate structure reinforces a ‘safe thinking’ mindset, making it unlikely that Western-style innovation will thrive here without significant systemic change
Before going into details, pl
Not due to math knowledge, but due to difficulty applying knowledge in real-world scenarios accustomed to structured learning, struggle more with open-ended, problem-first approaches compared to those trained in Western-style superficial engagement, reliance on structured guidance, avoidance of ambiguity, and resistance to open-ended problem-solving Failed in abstraction (encoding) and application (decoding)
Since 2021, the Swiss Institute of Artificial Intelligence (SIAI) has refined its approach to teaching AI and data science (DS), learning valuable
AI Bootcamps provide emotional satisfaction but no real AI knowledge. SIAI’s AI MBA (Business & Tech Tracks) offers real AI project exposure and strategic thinking. Basic software engineers will be obsolete by 2035, replaced by AI and offshore talent
After launching AI MBA's business track, we sometimes have questions about the value of the track. Most people, particularly, engineers think that's just a waste of time. Some of them even claim that AI Bootcamp is the better option, as it costs less money.
Over the past few years, there has been a growing trend of STEM MBAs—business programs that integrate basic AI, analytics, and coding to appeal to professionals interested in tech-driven industries. While these programs may sound promising, in reality, most STEM MBAs provide little more than bootcamp-level technical training, leaving graduates with surface-level AI knowledge and little ability to differentiate real AI innovation from hype.
Student Dissertations
Jay Hyoung-Keun Kwon*
Yeonsook Kwak*
Donggyu Kim*
Jeonghun Song a, Hoyong Choib*
Hyeyoung Park*
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