MBA in AI & Fiance
MBA in AI Finance
For the top 1% business man in AI Finance
texttexttexttexttexttexttext
Nowadays a variety of industries and companies claim their adoption in AI, but the reality is still far behind what AI optimists have promised.
The program, by reasonable depth of theoretic understanding in elementary scientific tools, helps students to uncover exaggerated claims in the AI & Finance industry, to look through what the necessary skill sets are to achieve goals in AI application, and to fit expectations to reality. Unlike regular MBA programs elsewhere, it is a more hard skill-based, yet AI business-oriented specialization.
Two tracks
- MBA AI/Finance (Technical track)
- MBA AI/Finance (Business track)
Starting from year 2023, SIAI provides two streams of MBA AI/Finance programs, which are technical track and business track. The technical track requires you to take exams same as BSc Data Science. The overlap covers from the 2nd half of 2nd year to the 1st half of 3rd year of BSc Data Science, totaling 12 courses. Upon graduation, students are qualified to attempt a variety of daily business problems with sufficiently deep enough technical tools. Mathematical requirements for this track are as good as senior year studies in scientific Bachelor programs. Successful students are provided with further study options in DBA AI/Finance.
The business track is designed to explain learned concepts in plain English. List of classes required to finish are identical to the technical track. i.e. Students are given the same class materials. However, unlike technical track, students have options to write essays instead of math and code-based examinations. For the essay, the course covers use-cases of previous exams, which are mostly concise summary of live events in real field, so as to apply conceptual understanding to students’ personal business environments. Such re-interpretation has proven to strengthen one’s deeper understanding and more clear translation of mathematically written idea to live business events.
For students through PDSI, there is a Korean module available specifically designed to Korean market.
MBA in AI Finance
at a glance
HIGH QUALITY ONLINE CLASSES
ONLINE TA SESSIONS
12 COURSES & 1 DISSERTATION
8 WEEKS PER COURSE
1 COURSE PER WEEK
2 YEAR PROGRAM
Learning Outcomes
DATA ANALYTIC TRAINING FOR ABSTRACT THEORY TO REAL APPLICATION
CASE STUDIES FOR APPLYING COMPUTATIONAL SCIENCE TO BUSINESS
MBA in AI & Fiance
- Online live/recorded classes from 7pm-10pm on weekdays (Required)
– Mostly Mon-Wed, only cross-program courses on Thurs - Online live TA sessions on weekends (Selective)
– Mostly 1-2 hours in day time on Sat - Final exam 1-week after the end of the course
- Total 12 courses, 1 course for 1 term // 1 term for 8 weeks
One 5 ECTS* course is consisted of 8 lectures, 7 TA sessions, and 1 final exam. Total teaching hour is 33-40 hours and together with self-study hour, per course required hour is 125.
*ECTS – European Credit Transfer and Accumulation System
- Undergraduate diploma
Class module : Online only
Credit : 90 ECTS / (Level / EQF 7)
Required documents
- Bachelor diploma and transcript (mandatory)
- Graduate school diploma and transcript (if applicable)
- Statement of Purpose // Curriculum Vitae
- Resume with minimum 2 year work-experience (Required upon your graduation)
– Any work experience that gives you motivation for AI/BigData study
– Must be in conjunction with your MBA dissertation topic
- Undergraduate diploma
Class module : Online only
Credit : 90 ECTS / (Level / EQF 7)
Required documents
- Bachelor diploma and transcript (mandatory)
- Graduate school diploma and transcript (if applicable)
- Statement of Purpose // Curriculum Vitae
- Resume with minimum 2 year work-experience (Required upon your graduation)
– Any work experience that gives you motivation for AI/BigData study
– Must be in conjunction with your MBA dissertation topic
- Application fee : CHF 200.- (Non-refundable)
- Administration fee : CHF 1,000.- (Non-refundable)
- Courses : CHF 1,850
– 2 courses per term
– 1 course for 5 ECTS*
Graduation requirements
- Coursework – 60 ECTS*
- MBA Dissertation – 30 ECTS*
*ECTS – European Credit Transfer and Accumulation System
Admission examinations are administered by SIAI Extension School
- Application fee : CHF 200.- (Non-refundable)
– Technical track: Basic linear algebra, differential equations, introduction to statistics
– Business track: High school math/stat - Examination schedule
– Available on SIAI Extension School
– Technical track: CHF 50 per exam
– Business track: Free - Change of program
– Tech → Biz: No penalty
– Biz → Tech: Re-evaluation required
- High school or University level diploma from an all-English program
- TOEFL 100 or above (with every section at least 20/30)
- Pass grade from SIAI Extension School’s English course
– Tuition fee : CHF 1,000
MBA, but not the same MBA
MBA in AI & Finance is not a regular MBA. It is specifically focused on data analysis in business environment.
In the program, elementary math, stat, and scientific programming courses which are often regarded as research and hard theory courses are translated into business manner. Unlike vocational schools for programming or MBAs for soft-skill jobs, the courses require students to train abstracting simple cases so as to generalize and customize to a variety of differing situations. Such training help students seeing theory in a more practical perspective, which is a foundation of this program.
After initial training in elementary scientific knowledge, in Digital Marketing, students are presented how online IT business leverages AI & Finance, which works as a guidance for practical understanding of theories. Similarly, in AI Business cases, newly emerging business (ex. Robo-advisors, SNS analysis) applications of AI will be discussed in the context of math and stat in response to the recent advent of computational approaches. In addition, legal issues, mostly privacy protection issues, are provided in conjunction with Law & Economics and IT business specific concerns in Law and AI.
In the final term, both data visualization and data management help students not only build a sample database (DB) and read it to programming language, but they will also use the DB to apply learned theory to real-life data set. Graduates will experience that, together with mathematical intuition, data visualization can be extended to solve a myriad of business problems.
The program concludes with a MBA-level dissertation.