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B.Sc in Data Analysis

Course Level: Bachelor's
Course Duration: 4 Years
Course Language English
Required Degree Class 12th
First Year Total Fees: $ 5000(₹ 415000)
Total Course Fees: $ 20000(₹ 1660000)

Why Choose B.Sc in Data Analysis at Catholic Sangji College, South Korea

Choosing a B.Sc in Data Analysis at Catholic Sangji College in South Korea offers students a strong foundation in data science, analytics, and AI technologies. The program combines practical training with theoretical knowledge, preparing graduates for high-demand careers in data-driven industries. With experienced faculty, modern facilities, and industry partnerships, students gain hands-on experience through real-world projects and internships. Located in a supportive and culturally rich environment, the college fosters global perspectives and critical thinking. Graduates are well-equipped for roles in business intelligence, data analysis, and AI development, making it a smart choice for aspiring data professionals.


B.Sc in Data Analysis at Catholic Sangji College, South Korea, Program Details
 

Category

Details

Program Name

B.Sc in Data Analysis

Degree Awarded

Bachelor of Science (B.Sc)

Course Duration

4 years

Language of Instruction

Korean (with possible English support for international students)

Yearly Tuition Fees

Approx. USD 3,000 – 4,000

Total Tuition Fees

Approx. USD 12,000 – 16,000 (for 4 years)

Total Program Cost

Approx. USD 18,000 – 22,000 (including living expenses and other fees)

Eligibility

High school diploma or equivalent

Admission Requirements

Completed application, academic transcripts, proof of language proficiency (TOPIK for Korean or IELTS/TOEFL for English), personal statement, passport copy

Application Intake

Spring (March) and Fall (September)

Scholarship

Available for international students based on academic performance

Career Prospects

Data Analyst, Business Analyst, AI Specialist, Data Engineer, Researcher

Curriculum Structure

Core courses in statistics, programming, database management, machine learning, data visualization, capstone projects, and industry internships