Overview
This program emphasizes global entrepreneurship (strategy, marketing, finance, and leadership) and digital transformation (Artificial Intelligence). It combines the latest trends in conventional business theories with 21st century technologies that are impacting society like big data analytics, machine learning, data mining, deep learning, natural language processing, automation, robotics and digital communication. Furthermore, the AI Big Data EMBA dual-degree program guides the participants to the understanding of entrepreneurial business cycles and the phenomenon of “unicorn” organizations. When taken with a dual-degree from FUS, the program is delivered in about thirty percent English and seventy percent in Korean language. Venture Capital, Digital Finance and AI Strategic Management specializations are also available with a dual-degree from FUS.
Curriculum
The AI Big Data EMBA curriculum is designed with courses in 1) general business administration and 2) AI big data specialization, and 3) FUS requirements. To fulfill the requirements for the this dual-degree EMBA, participants must successfully complete studies worth 36 credits. Studies include 25.5 major credits, a thesis (3 credits), and overseas courses (7.5 credits). The EMBA can be completed in 18 months. The program has a modular structure and follows a two-week learning cycle with some courses delivered in English, but most in Korean. Courses are delivered on Fridays, 18:30-22:20 and Sat, 08:30-17:20.
COMPONENT |
MODULES |
CREDITS |
---|---|---|
Major Courses |
17 |
25.5 |
FUS Courses |
3 |
4.5 |
AI Big Data Bootcamp at FSU |
2 |
3 |
Thesis |
2 |
3 |
TOTAL |
24 |
36 |
Note: One module is comprised of total 24 hours (1.5 credits per module).
AI Big Data Bootcamp
The AI Big Data Bootcamp is held for approximately two weeks in August each year at the FUS campus in Switzerland. During the bootcamp, you will interact with executives from leading tech companies and gain hands-on working experience in Digital Marketing, Big Data Analysis or Artificial Intelligence.
Contacts
Email: cwlee@assist.ac.kr
Phone: +82.2.360.0736