Name: Master of Science
Price: 30000 USD

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QS Rank:

416

Stony Brook University

New York

United States

Program Rank

Overview

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Overview Master of Quantitative Finance is one of the best courses to choose from that offers in-depth learning in a Finance . An MS Degree in Finance from the Stony Brook University has consistently made its place among the top global universities. International students prefer this course at the Stony Brook University due to its high graduate employability rate. Stony Brook University offers exceptional education quality, high-end practical learning and ample work opportunities to its international students. After receiving their MS Degree in Finance from the Stony Brook University, students will be competent to carry out extensive research work in the field. The interactive curriculum, vast research opportunities and exceptional teaching faculty at Stony Brook University offer students a life-altering learning experience. A Master of Science Degree helps students become creative and independent researchers. Overall, an MS Degree in Finance from the Stony Brook University is a great choice for students who want to analyse the field in great depth. Why Study Quantitative Finance at Stony Brook University A popular choice for international students with a diverse community Learn from the best faculty members and become their research assistants High-end labs to facilitate research work Excellent placement programs after course completion Read more

Total Tuition Fees

$45,000

Duration

18 Months

Median Salary

$1,10,000

Ranking

#77

US World and News Report

#416

QS World University Rankings

Intake

Fall ( Sept - Nov )

Intake

Spring ( Apr - June )

Class Profile

Class Size

Average Age

Average Work Experience

2 Years

Diversity

California:

20%

Florida:

New York:

40%

Texas:

10%

Illinois:

Others:

22%

Career Outcomes

Median Earnings After Graduation

$1,10,000 / year

Graduation Rate

76%

Prospective Job Roles

Quantitative Researcher

Director of Financial Aid

China Finance Analyst

Financial Crime Investigator

Financial Advisor

Quantitative Analyst

Finance

Manager of Finance

Finance Director

Quantitative Risk Analyst

Quantity Surveyor

Financial Controller

Top recruiters

Eligibility Criteria

At least 3 / 4 undergraduate GPA is expected.

At least 16 years of bachelor degree.

English Proficiency Tests

IELTS
6.5
TOEFL
80

Application Requirements

Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

Application Fee: 100

Transcript

Statement of Purpose
Resume
IELTS
Academic LOR
Professional LOR
Academic LOR

Application Deadlines

	Standard Deadline	Consideration
Fall	Jul 15, 2025	Dec 15, 2024
Spring	Oct 15, 2024	N/A

Fees and Funding

Tuition Fees

$30,000 / year

Overall Cost

$46,000 / year

FAQs

It is possible to be admitted as a Part-Time Student, however, there is no organized part-time program per se which will guarantee that all of the required classes are available in the evening. Thus, successful completion of the MS program will typically require some daytime classes.
AMS offers a BS, an MS and PhD degrees as well as Advanced Graduate Certificates in various fields. Various programs exist as tracks within the AMS Department and not as separate degree programs. Upon successful completion, you will be awarded a degree in Applied Mathematics and Statistics.
A strong background in Applied Mathematics and Statistics and the interdisciplinary nature of the AMS department gives students unusual advantages and flexibility; e.g. a student interested in portfolio management may work with a professor in Operations Research who specializes in Optimization. Another, who wishes to study methods for using market data to calibrate Options models might interact with a faculty member in Statistics. And a third, who wants to explore Parallel Computing in Monte Carlo techniques might work with a professor in Computational Applied Mathematics or Computer Science.
The training in Quantitative Finance focuses on the following aspects: The required courses cover standard topics in QF including investment science, portfolio optimizations, financial time series, pricing theory, interest rate models, high-frequency trading, risk management and so on. Students can follow different course sequences to master their knowledge in different areas of QF. Elective courses are split into five areas: A) Stochastic calculus, optimization and operations research B) Statistics and data analytics C) Computational methods and algorithms D) Advanced topics in risk management, high frequency trading E) Machine learning and big data QF Courses are taught by top academic professors and experienced financial practitioners. Students are exposed to various research and practical problems and can interact with both academic faculty and practitioners.
Quantitative Finance is an applied science dealing with the application of Mathematics and Computer Science in the finance sector. The discipline is also known as Financial Mathematics, Financial Engineering and Computational Finance, depending upon the problems or techniques emphasized.