Business Analytics, M.S.B.A / Master in Financial Technology with Sungkyunkwan University (SKKU), M.S. FinTech.
Degree Requirements (66 hours)
Curriculum of SKKU Students
Semester 1 at SKKU
| Course | Title | Credits |
|---|---|---|
| Required: | ||
| Financial Statistics | 3 | |
| Investment Analysis | 3 | |
| Electives | ||
| Select one course from the following: | 3 | |
Financial markets and corporate finance | ||
Deep learning | ||
Python programming | ||
| Total Credit Hours | 9 | |
Semester 2 at SKKU
| Course | Title | Credits |
|---|---|---|
| Required: | ||
| Machine Learning in Finance | 3 | |
| Financial Data Analysis | 3 | |
| Electives: | ||
| Select one course from the following: | 3 | |
Data analytics in action with Python | ||
Financial derivatives | ||
Behavioral finance and fintech | ||
Fintech internship * | ||
| Total Credit Hours | 9 | |
Semester 3-4 at South Carolina
| Course | Title | Credits |
|---|---|---|
| Select six courses from the following: | 18 | |
| Information Systems | ||
| Customer Relationship Management and Data Mining | ||
Digital and Social Media Analytics | ||
| Risk Management | ||
Special Topics in Accounting: Analytics in Accounting | ||
| Accounting Information Systems from a Strategic Perspective | ||
| Applied Econometrics | ||
| Design Thinking For Global Business (DT4GB) | ||
| Data Analytics for International Business | ||
| Total Credit Hours | 18 | |
- *
Transferable Courses from SKKU to South Carolina (up to 12 credits hours)
SKKU
- Financial Statistics
- Investment Analysis
- Machine Learning in Finance
- Financial Data Analysis
- Fintech internship Analytics Practicum
South Carolina
Curriculum of South Carolina Students
Semester 1 at South Carolina
| Course | Title | Credits |
|---|---|---|
| Required: | ||
| MGSC 790 | Data Resource Management | 3 |
| MGSC 711 | Quantitative Methods in Business | 3 |
| Electives: | ||
| Select three courses from the following: | 9 | |
| Fundamentals of Marketing Analytics | ||
Diff and diff, AB testing, experiments, etc. | ||
| Revenue Management | ||
| Information Systems | ||
| Supply Chain Modeling | ||
Sports Analytics | ||
| Total Credit Hours | 15 | |
Semester 2 at South Carolina
| Course | Title | Credits |
|---|---|---|
| Required: | ||
| MGSC 777 | Advanced Quantitative Methods in Business | 3 |
| BADM 700 | Master of Science Project | 6 |
| or ANALYTICS PRACTICUM | ||
| Electives: | ||
| Select two courses from the following: | 6 | |
| Customer Relationship Management and Data Mining | ||
| Pricing Strategy and Analysis | ||
Digital and Social Media Analytics | ||
| Human Resources Experiential Project | ||
| Risk Management | ||
| Student-Managed Investments | ||
Special Topics in Accounting: Analytics in Accounting | ||
| Accounting Information Systems from a Strategic Perspective | ||
| Applied Econometrics | ||
| Design Thinking For Global Business (DT4GB) | ||
| Data Analytics for International Business | ||
| Total Credit Hours | 15 | |
Semester 3 at SKKU
| Course | Title | Credits |
|---|---|---|
| Select three courses from the following: | 9 | |
Financial markets and corporate finance | ||
Deep learning | ||
Python programming | ||
Seminar in Investment | ||
Advanced Financial Theory | ||
| Total Credit Hours | 9 | |
Semester 4 at SKKU
| Course | Title | Credits |
|---|---|---|
| Select three courses from the following: | 9 | |
Data analytics in action with Python | ||
Financial derivatives | ||
Behavioral finance and fintech | ||
Deep learning | ||
Seminar in Investment | ||
Advanced Financial Theory | ||
Fintech internship | ||
| Total Credit Hours | 9 | |