斯蒂文斯理工學院

Today’s technology-intensive finance industry is desperate for analysts who bring statistical and programming skills to banks, hedge funds and wealth management offices.

Unlike financial engineers, who use mathematical modeling and computer science skills to create algorithms and tools, financial analysts combine their programming skills with talents in data analysis and statistics to design innovative solutions to the finance problems of the future. They also use excellent business and communication skills to assess client needs and make recommendations to executive teams.

The Stevens master’s in Financial Analytics teaches professionals to apply their physics, statistics or engineering skills to the lucrative finance industry. You’ll learn from faculty whose insights are changing how the industry is thinking about concepts like machine learning, data modeling and optimization in finance. You’ll take courses in one-of-a-kind financial labs, home to the data analysis and visualization tools used on Wall Street. Most importantly, our location on the Hudson River ensures you’ll have regular interaction with industry recruiters in New York City, just 10 minutes away by train or ferry.

Few master’s programs in the financial analytics discipline truly prepare you to work in an industry where technology-driven disruption continues to be the top story. At Stevens, you’ll be immersed in new programming languages, data sets and analytical technologies, preparing you to use new tools with confidence as you confront the challenges of the future.

The curriculum is flexible, allowing you to tailor your master’s degree to the areas most aligned with your career goals. A close relationship between you and your faculty advisor at Stevens will help you select the right classes for your future.

The curriculum emphasizes the most important skills in finance today and in the future, including:

• Data processing and knowledge management.
• Machine learning.
• Data modeling and visualization.
• Optimization for general financial problems.
• Project management and decision communication.