Zurich Summit
To support your research in AI/Data Science
The Best scientific training for AI/Data Science for the best technical career in cutting edge AI
Master of Science (MSc) is different from Arts, Business (MA, MBA, respectively) majors in that it emphasizes scientific methods and fosters research abilities. Our MSc program requires an admission exam in advanced regression analysis, which is a composition of linear algebra, differential equations, and statistical analysis with asymptotic behavior. Candidates without strong backgrounds in mathematical statistics are recommended to try Pre-MSc AI/DS in the first year, and go onto MSc AI/DS in the following year.
MSc in AI/DS (1 year)
MSc Artificial Intelligence / Data Science – MSc AI/DS – is SIAI’s flagship masters program that emphasizes mathematical modeling in computational science, which is also known as Artificial Intelligence. The program trains students to be top-notch researchers in the field by combining theoretic knowledge with business applications. Only candidates either qualify Pre-MSc AI/DS with 60% and above, or same level of performance in the admission exam are admitted.
Pre-MSc in AI/DS
Pre-MSc Artificial Intelligence / Data Science – Pre-MSc AI/DS – is a gap year MSc program that is more inclined to business applications with less sophisticated mathematical modeling than MSc AI/DS. Students applying for MSc AI/DS without outstanding qualifications are offered for this program to strengthen scientific fundamentals. The coursework is mostly shared with MBA AI's technical track. Plz note that sudents without math background are welcomed to try AI MBA's business track.
SIAI Discussion
This article is based on ideas originally published by VoxEU – Centre for Economic Policy Research (CEPR) and has been independently rewritten and extended by The EduTimes editorial team
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