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Overview
The Computational Finance program of Rochester Institute of Technology helps students 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.
Programme Structure
Courses include:
- Accounting for Decision Makers
- Survey of Finance
- Equity Analysis
- Debt Analysis
- Advanced Derivatives
- Computational Finance Exam Preparatory
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- StartingApply anytime.
- StartingApply anytime.
Language
English
IELTS 6.5
PTE Academic 63
TOEFL® IBT 88
Credits
36 SCH
Delivered
On Campus
Disciplines
Finance Financial Mathematics Actuarial Science View 893 other Masters in Finance in United StatesAcademic requirements
GPA 3
GRE® Required
GMAT Required
English requirements
IELTS 6.5
PTE Academic 63
TOEFL® IBT 88
Other requirements
General requirements
- Submit copies of official transcript(s) (in English) of all previously completed undergraduate and graduate course work, including any transfer credit earned.
- Hold a baccalaureate degree (or US equivalent) from an accredited university or college.
- Recommended minimum cumulative GPA of 3.0 (or equivalent).
- Submit a current resume or curriculum vitae.
- Letters of recommendation are optional.
- Students are required to complete online preparatory coursework in R and Python prior to joining the MS in computational finance program. The coursework does not need to be completed prior to applying, and will take roughly 3-4 weeks to complete.
Tuition Fee
To alway see correct tuition fees
-
International
54176 USD/yearTuition FeeBased on the tuition of 54176 USD per year during 12 months. -
National
54176 USD/yearTuition FeeBased on the tuition of 54176 USD per year during 12 months.
Living costs for Rochester
925 - 1350 USD /month
Living costs
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Financing
Interested in financing your studies? Find a student loan that works for you.
MPOWER Financing Student Loans between $2,001 - $100,000 Prodigy Finance Loans for tuition and living costs from $15,000 Funding
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
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