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Dual Degree

B.S., Financial Mathematics/M.S. Financial Analytics

Today's financial analysts need superior statistical knowledge and programming know-how to solve the future financial problems faced by banks, hedge funds and wealth management offices and ultimately be successful in the complex, technology-driven financial industry.  

The Department of Mathematics and Computer Science, in cooperation with the Finance Department at Stevens Institute of Technology, offers a dual degree program that allows qualified financial mathematics majors to take three courses at Seton Hall that would jumpstart their master's program in financial analytics at Stevens.

With the three courses at Seton Hall, students would be able to complete the other seven courses required for the master's in one year and would only need to pay for one year of graduate school at Stevens. They then would graduate in five years with a Bachelor of Science in Financial Mathematics from Seton Hall and a Master of Science in Financial Analytics from Stevens.


The accelerated curriculum can be completed in five years to obtain the M.S. in Financial Analytics degree within one additional year at Stevens Institute of Technology, after completing the B.S. in Financial Mathematics at Seton Hall University. During the junior and senior year, students take nine credits of graduate courses from the M.S. in Financial Analytics that count towards their undergraduate requirements.

Program Admission and Continuation

  • Submit the application for the M.S. in Financial Analytics program during the Spring semester of your junior year.
  • Meet the minimum grade of a B in the Seton Hall University transfer courses.Meet the M.S. in Financial Analytics admission requirements with an undergraduate GPA of at least 3.0.

Click here to view the full curriculum »

Faculty Listing

Shajina Anand posing
Shajina Anand
Assistant Professor
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Wendiann Sethi posing
Wendiann Sethi
Senior Faculty Associate and Director of Developmental Mathematics
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Kerry Mc Neill
Senior Faculty Associate
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Marco T. Morazán
Associate Professor, Computer Science Graduate School Adviser
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