Curriculum Requirements for Master of Science in FinTech and Financial Data Analytics
Major Requirements
| Waivable Prerequisite Courses |
Credits: |
| QANT 501 |
Business Statistics |
1.5 |
| FINC 501 |
Finance |
1.5 |
| |
|
Total: 3 Credits |
|
The two prerequisite courses for this program (QANT 501 and FINC 501) will be waived if the student has an undergraduate degree in business, or if the student has at least three years of relevant work experience in the finance industry along with an undergraduate degree in a related field such as economics, engineering, or technology, etc. |
| |
| Business Analytics |
Credits: |
| BUSA 601 |
Data Storytelling and Communication |
3 |
| BUSA 602 |
Programming for Data Analysis |
3 |
| BUSA 660 |
Foundations of AI and Machine Learning |
3 |
| |
| Finance |
Credits: |
| FINC 601 |
Financial Management |
3 |
| FINC 671 |
Blockchain Technology and Digital Assets |
3 |
| FINC 672 |
Algorithmic Trading and Quantitative Methods |
3 |
| FINC 771 |
AI Applications in Financial Services |
3 |
| FINC 772 |
Regulatory Technology and Financial Cybersecurity |
3 |
| |
| Quantitative Analysis |
Credits: |
| QANT 605 |
Statistical Thinking and Problem Solving |
3 |
| |
| Capstone Course |
Credits: |
| FINC 773 |
FinTech Innovation and Integration |
3 |
| |
| Total Required Credits = 30 |