The Masters of Science in Computational Finance delivers the combined strengths of Saunders College of Business and the College of Science at RIT. The curriculum offers integration of finance, mathematics, and computing. The required mathematics courses have substantial financial content and the experiential computational finance course that students take during the summer make use of skills learned in the mathematics, analytics and finance courses taken up to that point. The multidisciplinary nature of the program and the involvement of as many as four RIT colleges are its strengths. This is a 17-month, full-time program beginning exclusively in the fall. Part-time options are not currently available.

To view the a more detailed list of courses for this program, click here.
Rochester Institute of Technology College of Science

Course List

  • ACCT-603: Accounting for Decision Makers, 3 credits
  • FINC-671: Survey of Finance, 3 credits
  • FINC-772: Equity Analysis, 3 credits
  • FINC-773: Debt Analysis, 3 credits
  • FINC-774: Advanced Derivatives, 3 credits
  • MATH-735: Mathematics for Finance I, 3 credits
  • MATH-736: Mathematics for Finance II, 3 credits
  • Choose 2: Analytics Courses, 6 credits
  • Choose 2: Electives, 6 credits
  • FINC-790: Computational Finance Experience, 3 credits

Total Semester Credit Hours: 36

Also referred to as “Quants” or Financial Engineers, people in these positions use their strengths in business, modeling, and data analysis to understand and use complex financial models, often involving differential and stochastic calculus. The program addresses a vital and growing career field, reaching beyond banking and finance. Computational Finance is an excellent career option for business, math, engineering, economics, statistics, computer science, and other technically–oriented professionals. Programming knowledge preferred.

Typical job titles include: Risk Analyst, Research Associate, Quantitative Analyst, Quantitative Structured Credit Analyst, Credit Risk Analyst, Quantitative Investment Analyst, Quantitative Strategist, Data Analyst, Senior Data Analyst, Fixed Income Quantitative Analyst, and Financial Engineer.