Master of Science in Financial Technology and Analytics (M.F.T.A.)
The M.F.T.A. degree provides an inter-disciplinary experience across finance, data analytics, and data sciences in response to the near-ubiquitous and growing demand for financial-analytic skills blended with technology. The program embraces a flexible curriculum that nimbly responds to changes in labor market demands, graduating students who possess the technological and analytical skills that meet these demands. Targeted areas range from corporate treasury, investment banking, security analysis, and financial data analytics to the digital transformations occurring in financial services, such as in consumer finance, business lending, payment systems, wealth management, and portfolio construction and monitoring.
A three-fold objective underlies the program, as follows.
1. Enhance technical expertise: The program is designed to increase knowledge in financial technology, including in programming languages, data analytics, machine learning, and blockchain technology;
2. Analyze financial data: The program aims to inform students on the analysis of time series and cross-sectional financial data, including the identification of trends, patterns, and insights – what the data reveal and conceal; and
3. Design financial products that provide innovative solutions: The program endeavors to advance the ability of students to create financial products that drive efficiency gains and cyber-security protection through digitalization and digital transformation.
The foundation for the M.F.T.A. program’s two tracks, either data science or business analytics, consists of 32 hours of required courses. Three hours of elective courses bring the program to 35 total credit hours.
Course List
| Code |
Title |
Hours |
| BMBA 9460 | Financial Decision Making | 2 |
| BFIN 7219 | Security Analysis | 3 |
| BFIN 7255 | Financial Modeling | 3 |
| BFIN 7260 | (Financial Technology and Artificial Intelligence ) | 3 |
| BFIN 7261 | Financial Software Skill (Financial Software Skills) | 3 |
| BFIN 7262 | (Financial Analytics and Machine Learning ) | 3 |
| BFIN 7263 | Algorithmic Trading (Algorithmic Trading and Application of Robotics ) | 3 |
| BFIN 7264 | Blockchain fr Fin & Crypto Ast | 3 |
| 23 |
| Statistics for Data Science | |
| Data Mining | |
| Big Data Analytics | |
| Big Data Analytics Bus Impact | |
| Intro Data Analytics - Bus Int | |
| Exploratory Analytic-Visualztn | |
| Capital and Money Markets | |
| Portfolio Analysis | |
| Futures, Options and Swaps | |
| Corporate Finance | |
| Fixed Income Analysis | |
| Data Visualization | |
| Text Mining | |
| Machine Learning | |
| Data Engineering | |
| Accounting for Decision Makers | |
| Economics for Managers | |
BFIN 7270 | (MS Thesis) | |
| Total Hours | 35 |
