The Master of Science in Financial Technology (M.S. Fintech) is designed to meet the growing demand for professionals who can harness advanced business analytics, technology solutions and financial services skills to address existing business problems. Skills developed in the program will allow students to create new opportunities for small to global enterprises in information-rich environments including Fintech, Insurtech, Medtech, and Regtech. Students must complete 36 credits to fulfill all degree requirements. The program will be in-person and can be completed on a full-time or part-time basis.
Requirements
Course List
| Course |
Title |
Credits |
| FNCE 5710 | Introductions to Financial Models | 3 |
| FNCE 5711 | Foundations of FinTech | 3 |
| FNCE 5712 | FinTech Economics and Business Models | 3 |
| FNCE 5720 | Cryptocurrencies | 1.5 |
| OPIM 5512 | Data Science using Python | 3 |
| OPIM 5513 | Blockchain | 1.5 |
| OPIM 5603 | Statistics in Business Analytics | 3 |
| OPIM 5604 | Predictive Modeling | 3 |
| 15 |
| Introduction to Cyber-Security | |
| Modern Cryptography: Foundations | |
| Modern Cryptography: Primitives and Protocols | |
| Financial Risk Modeling I | |
| Financial Programming and Modeling | |
| Blockchain Applications | |
| Algorithmic and High Frequency Trading | |
| FinTech Workshop | |
| Supply Chain Finance | |
| Data Management and Business Process Modeling | |
| Field Study Internship | |
| Visual Analytics | |
| Introduction to Deep Learning | |
| Mobile Application Development | |
| Data Mining and Time Series Forecasting | |
| |
| Total Credits | 36 |
Additional courses may be used to meet degree requirements with the consent of the program director.
Accelerated Master of Science in Financial Technology (FinTech)
Prospective undergraduate UConn students must apply to the Accelerated Master of Science in Financial Technology Program through the online pre-graduate application through The Graduate School once they have successfully completed 54 undergraduate credits. The pre-graduate application is in addition to The Graduate School's formal application process and does not guarantee admission.
Undergraduate students receiving a grade of B or better in FNCE 5711 Foundations of FinTech and OPIM 5603 Statistics in Business Analytics who are admitted into the UConn Graduate School may apply these six credits toward both the undergraduate and M.S. plans of study. To complete the M.S. FinTech degree, students admitted to the Accelerated Masters are required to complete 30 credit hours, having completed six of the required credits to attain admission to the M.S. FinTech program.
Accelerated Master of Science in Financial Technology (FinTech)
Prospective undergraduate UConn students must apply to the Accelerated Master of Science in Financial Technology Program through the online pre-graduate application through The Graduate School once they have successfully completed 54 undergraduate credits. The pre-graduate application is in addition to The Graduate School's formal application process and does not guarantee admission.
Undergraduate students receiving a grade of B or better in FNCE 5711 Foundations of FinTech and OPIM 5603 Statistics in Business Analytics who are admitted into the UConn Graduate School may apply these six credits toward both the undergraduate and M.S. plans of study. To complete the M.S. FinTech degree, students admitted to the Accelerated Masters are required to complete 30 credit hours, having completed six of the required credits to attain admission to the M.S. FinTech program.
