Master of Science in Financial Technology and Analytics (MS FTA)

The MS in Financial Technology and Analytics program is designed for science, technology, engineering, and math (STEM) students who are pursuing careers in the financial industry. The program focuses on recent development in financial services from fundamental data processing to machine learning, decentralized finance, and fintech. Targeting on broader financial services and financial technology industry, program graduates are expected to be able to handle complex financial data, build advanced analytical models, deliver effective visualization product, and utilize cloud-based data-driven analytics technology. 

Graduating students are expected to know basic and advanced financial technologies and analytics models. All students regardless of concentrations are able to implement financial data processes and knowledge management, carry out statistical inference and dynamic modeling on financial data, automate financial advising with data analytics and run optimization for general finance problems. 

Financial Technology and Analytics Curriculum

This is a 30-credit program, comprised of core courses (9 credits), concentration courses (9 credits), and elective courses (12 credits).

Financial Technology and Analytics Core Courses

Financial Technology Concentration

Required Concentration Courses

FA 595Financial Technology

3

FA 591Blockchain Technologies & Decentralized Finance

3

FA 596Digital Payment Technologies and Trends

3

Financial Data Science Concentration

Required Concentration Courses

FA 541Applied Statistics with Applications in Finance

3

FE 535Introduction to Financial Risk Management

3

FA 542Time Series with Applications to Finance

3

Or

FIN 620Financial Econometrics

3

Elective Courses

Elective courses may be any of the Financial Analytics (FA) or Financial Engineering (FE) course offerings, or any graduate-level courses at Stevens. Elective courses should be approved by a student's faculty advisor.