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BBA in Business Analytics

Course Level: Bachelor's
Course Duration: 4 Years
Course Language English
Required Degree Class 12th

Why Choose BBA in Business Analytics at Korea Advanced Institute of Science & Technology, South Korea

Choosing the BBA in Business Analytics at KAIST offers a unique opportunity to gain cutting-edge skills in data-driven decision-making. KAIST is renowned for its world-class faculty, innovative research, and strong ties to the tech and business industries. The program combines business acumen with advanced analytics techniques, preparing students for leadership roles in the rapidly evolving business landscape. With a global perspective, modern curriculum, and access to top companies in South Korea and beyond, KAIST provides an ideal environment for aspiring professionals to thrive in business analytics and technology-driven environments.


BBA in Business Analytics at Korea Advanced Institute of Science & Technology, South Korea, Program Details
 

Aspect

Details

Program Name

BBA in Business Analytics

Degree Awarded

Bachelor of Business Administration (BBA)

Course Duration

4 years

Language of Instruction

English

Yearly Tuition Fees

Approximately USD 15,000 - USD 20,000 per year

Total Tuition Fees

Approximately USD 60,000 - USD 80,000 for the entire program

Total Program Cost

Includes tuition, living expenses, and other fees—estimated around USD 100,000

Eligibility

High school diploma or equivalent; strong academic background

Admission Requirements

High school transcripts, standardized test scores (e.g., SAT/ACT), recommendation letters, personal statement, and interview

Application Intake

Fall (September) intake

Scholarship

Merit-based scholarships available; need-based financial aid options

Career Prospects

Opportunities in business analytics, data science, consulting, finance, tech, and management roles across various industries

Curriculum Structure

 Year 1-2: Core business courses (e.g., Economics, Accounting, Marketing) 
 Year 3-4: Advanced courses in Business Analytics (e.g., Data Mining, Machine Learning, Predictive Analytics, Business Intelligence), Capstone projects, and internships