Overview

The computational finance program produces quantitative analysts who design and implement financial models used by banks and investment companies to generate profits and reduce risk. Computational analytics experts also support other industries and business functions that reach beyond banking and finance. The computational finance masters help you expand your skills into fields that are in great demand and feature high salaries. The program is designed for students interested in computational or quantitative finance careers in banking, finance, and a growing number of industries.

The MS 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.

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 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 mathematics, analytics, and finance courses are taken up to that point. 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.

International Students: F-1 OPT STEM 17-Month Work Extension

International students receiving the MS in computational finance degree qualify to apply for a 17-month work extension to their OPT (Optional Practical Training) period. This extension means that students could be eligible for up to two and a half years of work in the United States.

The extension is exclusive to qualifying STEM (science, technology, engineering or math) focused programs. The MS in computational finance program qualifies for an F-1 OPT STEM Extension, under the CIP Code 27.0305-Financial Mathematics in the 2012 STEM-Designated Degree Program List published by the U.S. Immigration and Customs Enforcement (ICE) office. For more information please visit the U.S. Citizenship and Immigration Services (USCIS)webpages: Understanding F-1 OPT Requirements and Questions and Answers: Extension of Optional Practical Training Program for Qualified Students.

Industries

  • Investment/Portfolio Management
  • Commercial Banking and Credit
  • Financial Services
  • Investment Banking
  • Internet and Software
  • Health Care

Curriculum

Computational Finance, MS degree, typical course sequence

  • ACCT-603 Accounting for Decision Makers
  • FINC-671 Survey of Finance
  • FINC-772 Equity Analysis
  • FINC-773 Debt Analysis
  • FINC-774 Advanced Derivatives
  • FINC-791 Computational Finance Exam Preparatory
  • FINC-795 Computational Finance Experience
  • MATH-735 Mathematics of Finance I
  • MATH-736 Mathematics of Finance II
  • Analytics Electives
  • University Electives

Admission Requirements

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. The 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.
Program taught in:
  • English
Rochester Institute of Technology (RIT)

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Last updated July 8, 2019
This course is Campus based
Start Date
Aug 26, 2019
Duration
12 - 17 months
Full-time
Price
47,522 USD
Annual tuition (12-18 credit hours). Additional fees may apply. Scholarships and aids are available.
Deadline
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Rolling admission
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By date
Start Date
Aug 26, 2019
End Date
May 9, 2020
Application deadline
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Aug 26, 2019

Location
Application deadline
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End Date
May 9, 2020