FOR WHICH ONE
MSC AI, MSC DS, MBA IN AI BIGDATA?
MASTER OF SCIENCE IN ARTIFICIAL INTELLIGENCE
Pre-PhD courses that are comparable to PhD coursework in the US top schools for quantitative studies. Related fields are Statistics, Mathematics, Physics, Econometrics, Industrial Engineering, and BioInformatics, however, every applicants still have to pass the preparation course and exam that covers following topics
- Mathematical Statistics
- Bayesian Statistics
- Dynamic optimization
All of which are fundamentals of coursework in MSc AI. For some countries and school that do not emphasize strong mathematical training, students are advised to try less sophisticated programs such as MSc in Data Science, which is a foundation of MSc AI, and MBA in AI/BigData, a business-oriented program without advanced mathematical modeling.
MASTER OF SCIENCE IN DATA SCIENCE
MSc in Data Science (MSc DS) is a foundation study for MSc AI. A good comparable of this curriculum is the US, UK top school’s senior year courses, the training of which are often given to strictly limited number of students. Students from less sophisticated schools are necessarily given to MSc DS in order to challenge MSc AI in a year.
The course materials are centered in mathematical and computational statistics, both of which are fundamentals of computational scientific research.
The admission of MSc DS is also dependent on exam performance of a preparation course. For details, you can find more information from the link.
MBA in AI & Big Data
There are large number of non-technical audiences whose motivation for in-depth understanding of AI/BigData is not limited. The MBA in AI/BigData program is designed for the potential students without mathematical training for linear algebra, multivariate regressions, and other advanced mathematical statistics. Often times, the target audience includes engineers whose math training is only basic engineering math.
The program training is specifically focused on solving real business problems with basic understandings of data science models. However limited, the problems can still be tackled by intuitive applications of key academic concepts, which is usual motivation of MBA programs.
Prep courses for MSc
For MSc in Artificial Intelligence (MSc AI) and MSc in Data Science (MSc DS), since both programs are hybrid of multiple disciplines in quantitative studies, we provide preparation courses for all prospective students. Unless a student has a specific degree with highly synchronized coursework with SIAI’s, it is mandatory course and exam.
For students to apply for two MSc programs, minimum qualification is to pass the prep courses with 70% and above in final exam. Sample exam questions are provided in the below link.