M.S. in Financial Technology and Analytics Curriculum
The program consists of 23 credits of required courses, 9 credits in either the data science or business analytics track, and 3 hours of elective course(s), bringing the program total to 35 credits.
Required Courses (32 hours)
| Course | Course Title | Number of Credits |
| BMBA 9460 | Financial Decision Making | 2 credits |
| BFIN 7219 | Security Analysis | 3 credits |
| BFIN 7255 | Financial Modeling | 3 credits |
| BFIN 7260 | Financial Technology and Artificial Intelligence | 3 credits |
| BFIN 7261 | Financial Software Skills | 3 credits |
| BFIN 7262 | Financial Analytics and Machine Learning | 3 credits |
| BFIN 7263 | Algorithmic Trading and Application of Robotics | 3 credits |
| BFIN 7264 | Blockchain for Finance and Crypto Assets | 3 credits |
Select one of the following two tracks (9 hours):
Data Science Track
| Course | Course Title | Number of Credits |
| DASC 6811 | Statistics for Data Science | 3 credits |
| DASC 6010 | Data Mining | 3 credits |
| DASC 6911 | Big Data Analytics | 3 credits |
or
Business Analytics Track
| Course | Course Title | Number of Credits |
| BITM 7136 | Big Data Analytics | 3 credits |
| BSAN 7001 | Intro to Data Analytics and Business Intelligence | 3 credits |
| BSAN 7011 | Exploratory Data Analysis and Data Visualization | 3 credits |
Elective Courses (3 credit hours) - Visit CourseLeaf for more info.
Pre-qualification Procedures: For students without any prior Finance education, completion of the Finance Pre-Qualifier (BMBA 8013) is required before taking Financial Decision Making (BMBA 9460), which is a starting course for the program. For students with a Finance education, this Pre-Qualifier requirement is waived.