Curriculum
| Major required | Statistics In Finance, Investment Analysis and Asset Management, Machine Learning and Finance, Blockchain and financial application |
|---|
** Students wishing to obtain a double degree must complete the courses corresponding to <Financial Statistics, Investment Analysis and Asset Management, Machine Learning and Finance, Blockchain and Finance>. **
Major elective courses
| Fintech | Fintech and the Transformation of Financial Markets, Fintech and Behavioral Financial Theory, Fintech Startups and Venture Funding, InsurTech, Designing In Capstone |
|---|---|
| Data analytics | Data Analytics using Python, Deep Learning, Data-driven Credit Analysis, Analytics for HR, Digital Marketing, Financial Data Analytics, AI&Wealth Management Theory |
| Finance | Corporate Financial Strategies, Financial Management Theory and practice, Financial Derivatives |
grade evaluation
-
Absolute evaluation is basic, but grade A (A+, A) for each course is limited to less than 50% of the number of students enrolled.
성적평가 A+ A B+ B C+ C D+ D F 4.5 4.0 3.5 3.0 2.5 2.0 1.5 1.0 0 - Grade D or higher is recognized as earned credits (Pass).