FinTech and Financial Data Analytics, M.S

New York Tech’s unique FinTech & Financial Data Analytics, M.S. blends finance, technology, and data science to explore how money moves and decisions are made. Gain essential fintech skills in digital banking, blockchain systems, and more, as well as robust analytical techniques to help you lead in the modern financial landscape. From mobile banking and digital payments to blockchain and robo-advisors, financial technology (fintech) is expanding at an exponential pace in both traditional banks and agile startups. Financial data analytics enable smarter decision-making using the power of data science, such as real-time risk assessment, fraud detection, algorithmic trading, and personalized services. Together, they are transforming the financial industry into a faster, more transparent, and data-driven ecosystem. New York Tech’s FinTech and Financial Data Analytics program aims to develop hybrid “T-shaped” professionals with deep knowledge of finance and analytics, and broad expertise across technology and business. Through hands-on projects and case studies, you’ll tackle real datasets and business challenges—designing trading algorithms, building blockchain prototypes, or even launching a cryptocurrency in a startup setting—while mastering analytical techniques like data visualization, machine learning, and data mining.

To apply to the FinTech and Financial Data Analytics, M.S. program, you must meet these requirements:

• B.S. or its equivalent from an accredited college or university
• Minimum undergraduate GPA of 3.0
• The GMAT is not required but may be submitted if a student’s undergraduate GPA is below the requirement.