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Computational Finance MS degree

Jenna Lenhardt, Assistant Director of Student Services and Outreach
(585) 475-6916, jlenhardt@saunders.rit.edu

Ashok Robin, Program Director

Program overview

The master of science in computational finance is designed for students interested in computational or quantitative finance careers in banking, finance, and a growing number of additional industries. Professionals in these fields 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. 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.

Computational finance is an excellent career option for technically-oriented professionals in the fields of business, math, engineering, economics, statistics, and computer science. Programming knowledge is highly preferred.

Plan of study

The curriculum offers an integration of finance, mathematics, and computing. The required mathematics courses have substantial financial content and the experiential computational finance course, which students take during the summer, makes use of skills learned in the mathematics, analytics, and finance courses taken up to that point. The program has a strong multidisciplinary nature and combines the expertise of four of RIT's colleges. The program is a full-time, 12 to 17-month curriculum beginning in the fall or spring. The program ends with a required non-credit comprehensive exam based on the courses completed by the student.

Curriculum

Computational finance, MS degree, typical course sequence

Course Sem. Cr. Hrs.
ACCT-603 Accounting for Decision Makers 3
FINC-671 Survey of Finance 3
FINC-772 Equity Analysis 3
FINC-773 Debt Analysis 3
FINC-774 Advanced Derivatives 3
MATH-735 Mathematics for Finance I 3
MATH-736 Mathematics for Finance II 3
  Analytics Electives 6
  Electives 6
FINC-795 Computational Finance Experience 3
Total Semester Credit Hours 36

 

Admission requirements

To be considered for admission to the MS program in computational finance, candidates must fulfill the following requirements:

  • Hold a baccalaureate degree from an accredited institution,
  • Submit official transcripts (in English) from all previously completed undergraduate and graduate course work,
  • Submit the results of the Graduate Management Admission Test (GMAT) or Graduate Record Exam (GRE) (GMAT preferred),
  • Submit a personal statement (Applicants should explain why their background, please indicate mathematical and programming knowledge, and interests make them suitable for the program),
  • Submit a current resume, and
  • Complete a graduate application.
  • International applicants whose native language is not English must submit scores from the Test of English as a Foreign Language. Minimum scores of 580 (paper-based) or 92 (Internet-based) are required. Scores from the International English Language Testing System (IELTS) will be accepted in place of the TOEFL exam. The minimum acceptable score is 7.0. The TOEFL or IELTS requirement is waived for native speakers of English or for those submitting transcripts from degrees earned at American institutions. For additional information on the IELTS, visit www.ielts.org.

Completed applications for admission should be on file in the Office of Graduate Enrollment Services at least four weeks prior to registration for the next academic semester for students from the United States, and up to 10 weeks prior for international students applying for student visas.

Accepted students can defer enrollment for up to one year. After one year, a new application must be submitted and will be re-evaluated based on the most current admission standards.