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B.Sc in Financial Data Informatics

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

Why Choose B.Sc in Financial Data Informatics at Hallym University, South Korea

Choosing a B.Sc in Financial Data Informatics at Hallym University, South Korea, offers a unique blend of finance, data analytics, and information technology. The program equips students with skills in financial modeling, big data analysis, and AI-driven decision-making, preparing them for careers in banking, investment, and fintech. Hallym’s strong industry connections, modern facilities, and international exchange opportunities enhance practical learning and global exposure. Students benefit from expert faculty guidance and hands-on projects, fostering critical thinking and problem-solving. This interdisciplinary program ensures graduates are highly competitive in the rapidly evolving world of finance and technology.


B.Sc in Financial Data Informatics at Hallym University, South Korea, Program Details
 

Category

Details

Program Name

B.Sc in Financial Data Informatics

Degree Awarded

Bachelor of Science (B.Sc)

Course Duration

4 years

Language of Instruction

English / Korean (depending on courses)

Yearly Tuition Fees

Approx. 5,000,000 – 6,000,000 KRW (~$4,000–$5,000 USD)

Total Tuition Fees

Approx. 20,000,000 – 24,000,000 KRW (~$16,000–$20,000 USD)

Total Program Cost

Including tuition, accommodation, and living expenses: ~$25,000–$30,000 USD

Eligibility

High school graduate or equivalent

Admission Requirements

High school transcripts, English proficiency (TOEFL/IELTS), personal statement, recommendation letters

Application Intake

Spring (March) & Fall (September)

Scholarship

Merit-based scholarships, need-based financial aid, international student scholarships

Career Prospects

Data analyst, financial analyst, risk management specialist, fintech consultant, AI in finance roles

Curriculum Structure

Core courses in finance, statistics, programming, big data, AI; electives in fintech, machine learning, risk management; internships and capstone projects