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Bachelor of Science (B.S.)

Mathematical Finance

Sophistication and innovation in the financial markets create demand for mathematical finance skills. To exploit opportunities and manage risks, financial institutions and corporate finance organizations actively seek qualified people who demonstrate advanced capabilities in finance, investments, mathematics, modeling, and software applications.  

Seton Hall's Mathematical Finance concentration is an interdisciplinary course of study that develops a student’s practical knowledge of finance and applicable skills in mathematics. The concentration prepares and qualifies students for corporate careers as well as graduate study. Students who enjoy mathematics or seek quantitative careers in finance are strongly encouraged to consider our Mathematical Finance concentration. 

Seton Hall University has been a member of the CFA Institute’s University Recognition Program since 2014, among the earliest universities so recognized. Its undergraduate programs in Finance, Mathematical Finance, and Finance and Technology incorporate at least 70 percent of the CFA Program Candidate Body of Knowledge (CBOK) and place strong emphasis on the CFA Institute’s Ethical and Professional Standards. These state-of-the art programs provide students with the foundation for earning the prestigious Chartered Financial Analyst® designation, the most highly recognized and globally respected credential in the investment management profession. In being a CFA University Recognition Program, Seton Hall has the privilege of granting over a dozen CFA scholarships annually to support qualified students in their pursuit of the CFA designation.


  • #1 Leadership Development Program Nationwide
  • 14 NYC Final 4 Wins, CFA Institute Research Challenge
  • 95% Career-Related Employment Rate for Graduates
  • 76% Students with 1+ Internships Completed
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A Community Behind You

Caroline Weeks expresses special gratitude for her professors and career advisors who exposed her to opportunities and advantages at every turn.


Mathematical Finance is an interdisciplinary concentration that combines advanced mathematical studies with practical applications of finance and investment principles. The concentration consists of 22 credits in calculus, linear algebra, finance, and investment courses, as well as 6 credits in advanced finance courses. Our business curriculum's flexibility has enabled many of our students to complete dual concentrations in Mathematical Finance and another business concentration. 

Required Courses (22 credits)

  • MATH 1501 Calculus
  • MATH 1511 Honors Calculus II
  • MATH 2511 Honors Calculus III
  • MATH 2810 Linear Algebra - Differential Equations
  • BFIN 3211 Financial Strategy
  • BFIN 4227 Investment Analysis

Select at least two of the following (6 credits)

  • BFIN 4230 Portfolio Analysis
  • BFIN 4234 Futures, Options and Other Derivatives
  • BFIN 4250 Fixed Income Analysis
  • BFIN 4255 Financial Modeling
  • BFIN 4262 Corporate Risk Management
Trading Room

Center for Securities Trading and Business Analytics

A vast financial resource network, the Center mimics actual trading room activity that occurs in investment banking: up-to-the-second, market-clearing quotes and the latest global market data and news on frequently traded securities, including stocks, bonds, commodities and currencies.

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Program Faculty

The Stillman School prides itself on maintaining a close-knit community and an academic experience characterized by extensive faculty-student engagement. Many of our full-time faculty have attended top Ph.D. programs and are in demand as lecturers, consultants and media experts. Often partnering with students to undertake relevant research projects, they transform the concepts of business theory into practice, offering hands-on instruction and preparation for real-world success.

View a full listing of the Stillman School faculty »

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Xiaoqing Eleanor Xu
Professor of Finance
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Hongfei Frank Tang
Professor, Chair of Department of Finance, President of the Academy of Applied Analytics and Technology
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Kangzhen (Ken) Xie
Associate Professor of Finance
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Jennifer Itzkowitz
Associate Professor of Finance
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