FinTech

The nature of how technology interfaces with financial applications has created a rapidly growing need for education and skills which are not fully addressed in typical finance degrees. Luckily, our program is anything but typical.

Our 30-credit-hour master’s offers a balance between foundational knowledge in finance, data analytics and econometrics, and programming for FinTech applications. You’ll be immersed in big data analytics, using algorithms to spot patterns in data. And you’ll gain hands-on experience as you implement financial models and analyze and evaluate investment decisions.

Classes include Handling Financial Big Data with Python, Data Science for Finance, Managing Massive Financial Datasets, Algorithmic Trading, Blockchain, Cryptocurrencies and Cryptoventures, FinTech and Entrepreneurship, and many more.

You can complete your master’s in one academic year (two semesters), or choose to extend your program to three or four semesters by enrolling in our nine-credit-hour Analytics for FinTech specialization track.

Applicants must have completed or be on track to complete a four-year bachelor's degree from an accredited (credentialed) institution by the start of the program. Applicants must have documented familiarity (typically through coursework) in programming, statistics or econometrics at the point of admission to the program.

The application process also typically requires:

• Online application
• Unofficial transcripts
• Two letters of recommendation
• CV or resume
• GRE, GMAT scores optional
• Application fee
• TOEFL scores (for all non-native English language speakers)