Master of Science in Financial Technology and Analytics (MFTA)
The MFTA 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 MFTA 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.
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