Ashok Robin, Program Director
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.
Computational finance, MS degree, typical course sequence
|Course||Sem. Cr. Hrs.|
|ACCT-603||Accounting for Decision Makers||3|
|FINC-671||Survey of Finance||3|
|MATH-735||Mathematics of Finance I||3|
|MATH-736||Mathematics of Finance II||3|
|FINC-791||Computational Finance Exam Preparatory||0|
|FINC-795||Computational Finance Experience||3|
|Total Semester Credit Hours||36|
|STAT-747||Principles of Statistical Data Mining|
* Additional electives are available with approval.
To be considered for admission to the MS program in computational finance, candidates must fulfill the following requirements:
- Complete a graduate application.
- Hold a baccalaureate degree (or equivalent) from an accredited university or college.
- Submit official transcripts (in English) of all previously completed undergraduate and graduate course work.
- Submit a personal statement of educational objectives. Statement should indicate any mathematical and programming knowledge held by the candidate as well as their professional interests, and why these make the candidate suitable for the program.
- Submit a current resume or curriculum vitae.
- International applicants whose native language is not English must submit scores from the TOEFL, IELTS, or PTE. A minimum TOEFL score of 92 (internet-based) is required. A minimum IELTS score of 7.0 is required. The English language test score requirement is waived for native speakers of English or for those submitting transcripts from degrees earned at American institutions.
For further information about tips on personal statements and additional guidance on how to submit a successful application, please visit Saunders College of Business Admissions Requirements.