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Overview
By mastering skills in data science, modeling, finance theory, machine learning, fintech, and computer programming, students in the Quantitative Finance program at Fordham University position themselves to land some of the financial world’s most sophisticated and competitive jobs.
Right from the beginning when the program's curriculum design was based on the feedback and input from industry experts, the program constantly seeks input from senior industry professionals and has maintained its distinctive focus on applied, cutting-edge, quantitative techniques. The emphasis of the current curriculum on AI, ML, FinTech, and Computational Finance reflects this focus.
Careers
The Gabelli School MSQF degree prepares students for careers in banking, risk management, and global capital markets. Typical jobs include desk quantitative analyst, risk quantitative analyst, quantitative researcher, financial engineer, and quantitative developer
Accreditation
Fordham’s Graduate School of Business ranked one of the "Best 301 Business Schools" in The Princeton Review.
Programme Structure
Courses include:
- Math for Quantitative Finance
- Probability and Statistics
- Financial Markets and Modeling
- Derivatives
- Machine Learning & Econometrics
- Time Series Econometrics
- Financial Programming
- Blockchain
- Data Mining for Business
- Web Analytics
- Deep Learning
- Advanced Python for Financial Programming
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before
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- Starting
- Apply before , National
- Apply before , International
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Language
English
IELTS 7
TOEFL® IBT 100
Credits
39 SCH
Delivered
On Campus
Disciplines
Economics Finance Accounting View 669 other Masters in Economics in United StatesAcademic requirements
GRE® Required
GMAT Required
English requirements
IELTS 7
TOEFL® IBT 100
Other requirements
General requirements
- The Gabelli School MSQF program is designed for students attracted to the pace and rigor of a career in quantitative finance. If you’re proficient in calculus, linear algebra, and computer programming, this degree would be a good fit.
- The students typically have an undergraduate degree in mathematics, physics, engineering, economics or computer science, and they’ve already studied statistics, differential equations, real analysis, probability theory, econometrics, micro- and macroeconomics, accounting, corporate finance, and computer programming.
- Academic transcripts
- Standardized exam (GMAT/GRE)
- Resume
- Essays: two required, one optional
- Letters of recommendation: one required (academic or professional)
- Interview
Tuition Fee
To alway see correct tuition fees
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International
67548 USD/yearTuition FeeBased on the tuition of 1732 USD per credit during 12 months. -
National
67548 USD/yearTuition FeeBased on the tuition of 1732 USD per credit during 12 months.
$25,500 per term (1st and 2nd Terms)$15,000 per term (3rd term)
Living costs for Manhattan
2638 - 5751 USD /month
Living costs
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
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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