Established in 2002, Financial Engineering (FE) at Stevens Institute of Technology is a master’s degree program in the School of Systems and Enterprises. In 2009, the school also inducted the first doctoral degree program in FE in the United States.
- Full-time, part-time
- Application deadline:
- Fall: Apr 15 (int'l), Jun 1 (domestic). Spring: Nov 1 (int'l), Nov 30 (domestic).*
- Hoboken, NJ
The graduate program at Stevens is a synthesis of finance, mathematics, statistics, economics, engineering and computer science.
Taught by scholars who are renown practitioners and researchers, the program provides students with an understanding of complex financial markets and strategies, experience in financial modeling and programming, and knowledge of financial systems, databases, computing and big data.
Graduates are trained in areas such as risk management, securities valuation, investment strategies, computational techniques, trading, and portfolio management – enabling them with tools to be innovative professionals in the world of high technology finance. Stevens FE graduates hold key positions at Barclays, Citibank, Goldman Sachs, JP Morgan Chase, Met Life, Prudential, UBS and other leading institutions.
The master’s program requires graduates to complete 10 courses equivalent to 30 credits. With four focus areas: Quantitative, Financial Software Engineering, Financial Information Systems and Financial Systems Engineering, the program curriculum is designed to be practical with a strong theoretical base.
Hanlon Financial Systems Lab
Students enrolled in the master’s program benefit from the state-of-the-art Hanlon Financial Systems Lab (HFSL) that includes a trading room and Bloomberg terminals - another first, and a unique endeavor in the country. HFSL is at the heart of the Financial Systems Center (FSC), a financial research and systems development and testing center for financial networks, software and cyber-security.
Stevens has rolling admission with separate deadlines for international and domestic applicants
Admissions & Statistics
Applicants with solid quantitative backgrounds in economics, mathematics, statistics, computer science, science and engineering are encouraged to apply for the graduate program.
Year Applicants Admitted Enrolled Fall 2010 123 108 54 Fall 2011 175 141 50 Fall 2012 283 224 81 Fall 2013 366 316 97
The program is 30 credits, with student traditionally take the 12/12/6-credit semesters format.
Tuition for 2014-15 is $15,625/semester for 9-12 credits/semester. Credits over 12 or under 9 are billed at $1,400/credit.