Dragos Bozdog
Dr. Bozdog is an expert in the mathematics of finance, algorithms and optimization who researches threat assessment and early warning systems.
Financial Analytics Master's Degree
Today’s technology-intensive finance industry is desperate for analysts who bring statistical and programming skills to banks, hedge funds and wealth management offices.
“It's incredible to see the huge push in the finance industry toward the new technologies and programming techniques that I learned at Stevens.”
Dakota Wixom '17 M.S. '17, chief data scientist, Perl Street
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.
Application requirements Curriculum OverviewBoard of advisorsDownload curriculum
Meet the director: Dr. Ionut Florescu
Professor Florescu is an expert in the development of stochastic models and their application in solving problems. He is the editor of High Frequency, a journal developed in collaboration with Wiley; has received notable grants from Nvidia, the National Science Foundation and the CME Foundation; and has written three books and edited four others. He is the director of the Hanlon labs at Stevens.
Finance faculty
Faculty in this program who bring a wealth of industry knowledge and thought leadership in areas like machine learning, data visualization and optimization.
Germán Creamer
A highly cited business researcher investigating applications of machine learning and social network algorithms to solve finance problems.
Zhenyu Cui
Dr. Cui studies financial derivatives pricing, stochastic processes and applied probability, stochastic simulation, and systemic risk.
Ionut Florescu
Dr. Florescu is an expert in creating stochastic models for real finance problems. He organizes an annual conference in high frequency at Stevens.
Jonathan Kaufman
Dr. Kaufman brings more than 25 years' professional experience to Stevens, including running his own hedge fund.
Khaldoun Khashanah
Dr. Khashanah's work in financial networks, systemic risk, modeling and high-frequency finance is highly respected in both industry and academia.
Thomas Lonon
Dr. Lonon's research interests include topics in the financial engineering, statistics and empirical finance disciplines.
Somayeh Moazeni
Dr. Moazeni's research interests include machine learning and A.I., algorithmic trading and stochastic modeling.
Papa Ndiaye
An expert in applied mathematics, Dr. Ndiaye teaches courses with special practical emphasis.
Majeed Simaan
Dr. Simaan is interested in financial network interconnectedness, risk, machine learning and asset allocation.
Steve Yang
Dr. Yang is a respected thought leader in behavioral finance, systemic risk and fraud detection, among many other areas.
High-tech financial center offers a degree of prestige
Finance and technology programs at Stevens benefit from the Hanlon Financial Systems Center, a one-of-a-kind teaching and research facility that's home to two labs outfitted with the latest in analytical and visualization tools.
An eye on the future
The Hanlon Financial Systems Center teaches students to leverage technology in seeking innovative solutions to pressing problems in finance.
Tech-driven advantage
The two Hanlon labs use powerful hardware and sophisticated software that allows for thorough analysis of enormous financial data sets.
An incredible network
Studying finance at Stevens gives you access to an incredible network of decision-makers and hiring managers on Wall Street.
Driving research insights
The combination of world-class technology and an unbeatable location powers researchers' investigations into areas of pressing need in industry.
Location inspires innovation
Meeting recruiters in finance is easy: Wall Street is a 10-minute ride from Stevens, putting your future within easy reach.
World-class conferences
Stevens faculty leverage the center's cachet to attract thought leaders from around the world to engage in tech-driven opportunities in finance.
Top recruiters in financial analytics
RBC
Accenture
Jefferies
UBS
The right finance degree for your future
Stevens offers a number of finance-related graduate programs — a result of its technology orientation and its location just outside Wall Street. Here’s a primer to help you choose the right program.
Graduate certificates
Short programs designed to help working professionals quickly master new skills and keep current with industry trends.
Master's in Finance
Emphasizes leadership in finance, giving front-office professionals confidence in managing teams and technology.
Master's in Financial Analytics
Turns statisticians into front-office quants who can analyze data and create innovative solutions for clients.
Master’s in Financial Engineering
Gives engineers the programming and finance skills to complement their technical talents as they learn to price assets and manage risk.
Ph.D. in Financial Engineering
A research-intensive doctoral program preparing students to create solutions and design products for industry or academia.
Ph.D. in Business Administration
A Finance concentration is ideal for researchers interested in academic careers in finance.