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The Master of Science in Financial Technology and Analytics program equips students with cutting-edge computational and quantitative abilities needed to evaluate financial data and leverage transformative technologies reshaping the financial sector. Developed by leading faculty at the Naveen Jindal School of Management, this innovative STEM-certified program welcomes students from diverse academic backgrounds who seek quantitative solutions to business challenges.
Program graduates gain expertise in:
Constructing blockchain networks with smart contracts or developing digital currencies.
Designing Robotic Process Automation tools for data collection and task automation.
Applying Python for web development, financial data analysis (including text and numerical data), and implementing machine learning in finance.
Utilizing R for statistical analysis of financial data and applying machine learning techniques.
Valuing conventional financial instruments and managing financial risk exposure
Students in the program must have a bachelor’s degree from an accredited institution in the United States, or its equivalent. An undergraduate business degree is not required; all undergraduate majors are welcome.
English proficiency requirements
Test of English as a Foreign Language (TOEFL) iBT (Internet-based test) Minimum score: 80
TOEFL PBT (paper-based test) Minimum score: 550
International English Language Testing System (IELTS) Minimum score: 6.5
Pearson Test of English Academic (PTE) Minimum score: 67
Completion of Level 112 at an ELS Language Center
Duolingo English Test Minimum score: 105
Application Deadline: Fall term - January 15 (Early), May 1 (Regular).