· AI Finance Major
The educational goal of the AI Finance Major is to cultivate professionals capable of analyzing financial market-related topics using traditional economic methodologies and AI analysis techniques. Topics include financial markets (investment strategies, asset allocation, risk management), financial policies (developing monetary policy transmission mechanisms using big data, maximizing the effectiveness of monetary policies using economic sentiment), and financial supervision (early crisis warnings and proactive policy development). Students will be trained to analyze financial markets, monetary policy pathways, and crisis mechanisms through methodologies such as traditional time-series analysis, natural language embedding implementation and application, deep learning layers for economic variables, and network models (geometric deep learning).
The educational goal of the AI Finance Major is to cultivate professionals capable of analyzing financial market-related topics using traditional economic methodologies and AI analysis techniques. Topics include financial markets (investment strategies, asset allocation, risk management), financial policies (developing monetary policy transmission mechanisms using big data, maximizing the effectiveness of monetary policies using economic sentiment), and financial supervision (early crisis warnings and proactive policy development). Students will be trained to analyze financial markets, monetary policy pathways, and crisis mechanisms through methodologies such as traditional time-series analysis, natural language embedding implementation and application, deep learning layers for economic variables, and network models (geometric deep learning).
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Required Courses |
Credits |
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Core Courses |
Fundamentals of Economics for AI Finance, AI Finance, Time-Series Analysis |
9 Credits |
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Elective Courses |
18 Credits |
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Total Credits |
27 Credits or more |
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□ Curriculum
1. Students must earn 27 or more credits from the department's courses.
2. The required courses for the Master's program are as follows:
Fundamentals of Economics for AI Finance, AI Finance, Economic Time-Series Analysis
□ Qualification Exams2. The required courses for the Master's program are as follows:
Fundamentals of Economics for AI Finance, AI Finance, Economic Time-Series Analysis
Students must pass the Comprehensive Exam for the Master's program, covering Fundamentals of Economics for AI Finance and AI Finance. (Exemption is granted for grades of B+ or higher in these courses.)
□ Thesis
Students must either submit a Master's thesis that passes the committee's review or meet the following thesis substitution requirements.
□ Thesis Substitution Requirements
1. The thesis substitution must fulfill one of the following criteria:
a) Publication in a journal recognized by the National Research Foundation of Korea (or candidate journals). The student must be the first or corresponding author.
b) Submission of a research report. A proposal must first be approved by the advisor and department head.
2. Submitted thesis substitutions are subject to review by a committee of at least three members recommended by the department head.
3. Matters not covered here follow the Graduate School's regulations.
a) Publication in a journal recognized by the National Research Foundation of Korea (or candidate journals). The student must be the first or corresponding author.
b) Submission of a research report. A proposal must first be approved by the advisor and department head.
2. Submitted thesis substitutions are subject to review by a committee of at least three members recommended by the department head.
3. Matters not covered here follow the Graduate School's regulations.
AI Finance Major FAQ
Q: Can you introduce the AI Finance Major?
The AI Finance Major aims to train professionals capable of analyzing financial market topics using AI techniques. Topics include investment strategies, asset allocation, risk management, development of monetary policy transmission mechanisms using big data, enhancing monetary policy effectiveness through economic sentiment, and proactive crisis management and policy development.
Q: What should I study before admission?
Essential: Basics of Macroeconomics, Python basics (numpy, pandas, subclassing), Basics of Statistics/Econometrics
Recommended: Fundamentals of Linear Algebra, Time-Series Analysis
Recommended: Fundamentals of Linear Algebra, Time-Series Analysis
Q: What are the main research areas in this major?
Research areas include natural language embedding, deep learning layers for economic variables, and geometric deep learning for financial market analysis, policy transmission, and crisis pathways. Keywords include: ESG Index, Financial Factor Model, Financial Graph Neural Network, Financial Market Sentiment, Financial Natural Language Processing, Geometric Deep Learning, Strategic Asset Allocation.
Visit AIFinLab for ongoing research topics.
Visit AIFinLab for ongoing research topics.
Q: How is the AI Finance curriculum structured?
Students must complete 27 or more credits, including required courses: Fundamentals of Economics for AI Finance, AI Finance, Economic Time-Series Analysis. Recommended courses include financial market analysis using deep learning networks.
Q: Are study spaces provided?
Study spaces (graduate student offices) are allocated at the start of each semester.
Q: How are scholarships managed?
- Most students receive full/half scholarships through teaching/research assistant positions.
- Research funds may be provided for collaborative research with professors.
- Competitive-based grants are available for presenting at academic conferences.
- Research funds may be provided for collaborative research with professors.
- Competitive-based grants are available for presenting at academic conferences.