Interdisciplinary Concentration in FinTech (For BBA and Non-BBA Students)
The FinTech concentration combines the principles and practices of finance with the latest technological advancements. Students will gain a deep understanding of financial concepts, such as investment, derivatives, and financial analysis, while also learning about emerging technologies such as blockchain, artificial intelligence, and data analytics. Moreover, students will develop a comprehensive understanding of the complex challenges and opportunities in the FinTech landscape, enabling them to approach problem-solving from multiple angles and make informed decisions.
To cater to students with diverse backgrounds to master FinTech concepts at their own pace, blended learning would be incorporated into selected courses. This approach not only facilitates a personalised learning experience but also fosters an active learning culture among students, which is highly valued in the FinTech industry.
The structure of the curriculum is as follows:
I) | Required Course | 3 units |
II) | Elective Courses I | 12 units |
III) | Elective Courses II | 6 units |
21 units |
Requirements
I. | Required Course | 3 units |
ECON3086 Python Programming for FinTech | 3 units | |
II. | Elective Courses I | 12 units |
FINE2005 Financial Management (For non-BBA students only) | 3 units | |
FINE3005 Investment Management | 3 units | |
FINE4026 FinTech for Banking and Finance | 3 units | |
ISEM3005 Business Systems Analysis and Design | 3 units | |
ISEM4035 Blockchain: Virtual Assets and Business Applications | 3 units | |
III. | Elective Courses II | 6 units |
BUSI2046 From Insight to Prototype: Generating Opportunities with Market Insights | 3 units | |
ECON3105 Big Data Analytics with Python | 3 units | |
FINE2006 Banking and Credit | 3 units | |
FINE3006 Introduction to Futures and Options Markets | 3 units | |
FINE3015 Corporate Finance | 3 units | |
FINE4025 Compliance in Finance | 3 units | |
ISEM3006 Data Management in Business | 3 units | |
ISEM4036 Cybersecurity and Data Privacy | 3 units | |
ISEM4037 Machine Learning for Financial and Business Forecasting | 3 units | |
21 units |